606 Dataiku Jobs

Leadership role in supporting AWM LFO Predictive Analytics Ameriprise India team and responsible for leading the advanced data science related work. Work in a matrix organization with data scientists, data engineers and decision science managers, collaborate with cross-functional teams, recommend, and implement analytical solutions to Advise & Wealth Management business. Actively participate in strategic planning, project management and hands-on involvement in complex data analysis that supports business decisions Key Responsibilities Responsible for the analysis, design, development and implementation of decision support models and data visualizations using Python, Microsoft Excel/PowerBI based tools like PowerPivot/PowerView. Develop innovative analytical solutions, like segmentation, predictive modeling, simulation modeling, and optimization. Develops and maintains infrastructure systems that connect organization's internal data sets; creates new data collection frameworks for structured and unstructured data of client organization. Interact with business partner to analyze and interpret business needs. Ensure to translate top level business goals into quantifiable analysis activities. Test and measure effectiveness of new approaches as well as process improvements. Coordinate tasks and assignments across many individuals Develop presentation decks and communicate clearly to business leaders. Demonstrate thought leadership in solving complex business problems People Management - drive performance of the team, ensure strong levers of people development to build high performing teams. Required Qualifications Engineering (B.E./ B.Tech.) graduate or Masters (Stats, Quant, Mathematics, OR, etc.) from a well-recognized institute, having MBA degree would be preferred 12+ Years of relevant experience in the field of Data Science. Experience in conducting hands-on complex analytics projects using advanced statistical methods such GLM, Bayesian methods, random forest, gradient boosting, neural network, and machine learning methods etc. Proficient in Python programming, cloud computing (AWS), SQL and Data Lake experience Proven ability to present/communicate effectively complex technical materials to business leaders Strategic thinker who can provide technical solutions for very complex business problems Excellent knowledge of MS Office Suite In-depth knowledge of financial services industry with a focus in risk and ability to articulate key concepts to others People Leadership Experience (5+ years) – Should have prior experience of leading team members, with responsibilities such as Hiring, Performance management Preferred Qualifications Demonstrated ability to lead up by engaging business partners and finance personnel with clear, data-backed insights Experience on working with AWS Cloud framework and associated tools Experience on working in data lake environment Knowledge about DataIku, PowerBI, Tableau, and other BI and analytical tools is preferred About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President's Office Job Family Group Data

Azure Data Engineer, DT-US USI PxE DnA Role Overview: The Azure Data Engineer is an integral part of the technical application development team and primarily responsible for analyze, plan, design, develop, and implement the Azure Data engineering solutions to meet strategic, usability, performance, reliability, control, and security requirements of Data science processes. Requires demonstrable knowledge in areas of Data engineering, AI/ML, Data warehouse and reporting applications. Must be innovative. Work you will do Perform effort estimation for various implementation and enhancement activities. Perform troubleshooting and problem resolution of applications built and being supported. Excellent written, verbal, listening, analytical, and communication skills are required. Highly self-motivated and directed, Experience in working in team-oriented, collaborative environment. Should take ownership of individual deliverables. Support and coordinate the efforts of Subject Matter Experts, Development, Quality Assurance, Architects and other internal resources for the successful implementation of the projects. Create and maintain internal documentation and end-user training materials as needed. Provide input to standards and guidelines and implement best practices to enable consistency across all projects Participate in the continuous improvement processes as assigned. Ability to recommend innovative solutions to technical problems in a straightforward manner. Key Responsibilities: Outcome-Driven Accountability: Understands and champions accountability for both customer and business outcomes, not just technical output. Has led or contributed to data engineering initiatives that delivered impactful, high-quality solutions to complex problems, emphasizing lean design and implementation. Can share examples where these principles resulted in measurable value for customers and the business. Technical Leadership and Advocacy: Acts as a technical advocate for data products and engineering teams, ensuring alignment with product goals, architecture, and non-functional requirements (NFRs). Participates in and often leads requirement analysis, solution design, development, testing, and integration activities. Actively supports evolutionary releases (such as alpha, beta, MVP) and maintains code integrity and quality throughout the product lifecycle. Can provide examples of technical leadership and advocacy in practice. Engineering Craftsmanship: Demonstrates a strong commitment to engineering excellence as an individual contributor. Maintains high standards for code design, configuration, and ongoing maintenance. Regularly engages in hands-on work, including code reviews, optimizations, and addressing technical debt within sprints. Continuously learns new technologies and frameworks, experimenting and sharing knowledge with the team. Can provide examples of fostering a culture of craftsmanship and continuous improvement. Customer-Centric Engineering: Develops lean, effective solutions by engaging directly with customers and product teams, using rapid experimentation to address real needs. Focuses on delivering the right solution at the right time, balancing speed and quality. Can illustrate how customer engagement and iterative feedback have shaped engineering outcomes. Incremental and Iterative Delivery: Embraces an action-oriented, evidence-driven mindset, favoring incremental progress and learning over exhaustive upfront planning. Navigates complexity and uncertainty by delivering maintainable, supportable solutions in small, validated steps. Can share examples of how this approach has led to successful product delivery. High-Impact Cross-Functional Collaboration and Integration: Works collaboratively with cross-functional teams—including product management, experience, delivery, infrastructure, and security—to integrate diverse perspectives and make balanced decisions. Fosters a collaborative environment that enhances team synergy, innovation, and shared ownership of outcomes. Can provide examples of effective cross-functional collaboration. Advanced Technical Proficiency: Possesses deep expertise in modern engineering practices, including Agile, DevSecOps, CI/CD, and advanced deployment strategies (e.g., Blue-Green, Canary). Applies these techniques to optimize solution delivery and minimize waste. Demonstrates proficiency across the full product development lifecycle, with a focus on continuous improvement and learning. Can provide examples of leveraging advanced technical skills to drive product success. Domain Knowledge: Quickly acquires and applies domain-specific knowledge relevant to the business or product. Translates business and user needs into actionable engineering plans, such as sprint tasks and priorities. Navigates enterprise functions to ensure alignment with organizational goals and product value. Can share examples of translating requirements into impactful engineering solutions. Effective Communication and Influence: Communicates complex technical concepts clearly and persuasively to both technical and non-technical stakeholders. Supports decision-making through well-structured arguments, evidence, and research. Crafts narratives that align technical solutions with business objectives. Can provide examples of influencing outcomes through effective communication. Engagement and Collaborative Co-Creation: Engages constructively with stakeholders at all levels, building relationships that foster co-creation and shared momentum toward product goals. Aligns diverse perspectives and drives consensus to achieve feasible, high-value solutions. Can illustrate how collaborative engagement has contributed to successful outcomes. Education: Bachelor’s degree in Computer Science or Business Information Systems or MCA or equivalent degree. Qualifications: 2 to 5 years Advanced Level of experience in Azure Data engineering Expertise in Development, deployment and monitoring ADF pipelines (using visual studio and browsers) Expertise in Azure databricks internal programming using (PySpark, SparkR and SparkSQL). Expertise in Debugging Azure Databricks notebooks (including AI/ML). Expertise in managing azure storage (Azure Datalake Gen2, Azure Blob Storage, Azure SQL database) Expertise in Azure logic apps Advanced programming skills in Python, R and SQL (SQL for HANA, MS SQL) Hands on experience in Visualization tools (Tableau / PowerBI) Hands on experience in Data science studios like (Dataiku, Azure ML studio) The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. How you will grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources, including live classrooms, team-based learning, and eLearning. Deloitte University (DU): The Leadership Center in India, our state-of-the-art, world-class learning center in the Hyderabad office, is an extension of the DU in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Disclaimer: Please note that this description is subject to change basis business/engagement requirements and at the discretion of the management. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 309907

Our technology services client is seeking multiple Dataiku Administrator to join their team on a contract basis. These positions offer a strong potential for conversion to full-time employment upon completion of the initial contract period. Below are further details about the role: Role: Dataiku Administrator Experience: 7+ Years Location: PAN India Notice Period: Immediate- 15 Days Mandatory Skills: Dataiku Data Science studio, Python & R, SQL Job Description: Roles Responsibilities Handle daytoday operations Administer and monitor Big Data Platform components Hadoop Hive HBase BigSQL etc Support Technical and Application team requests data copies across environments data cleanup query tuning etc Troubleshoot and resolve issues related to user queries application jobs etc Monitor and troubleshoot Big Data Platform including hosted DBs tools and services Creating encryption zones managing encryption keys and copying data between the encryption zones Support projectsinitiatives related to data acquisition processing and utilization through Big Data Platform Maintain and support Big Data Platform CDP Private Cloud and IBM BigSQL across multiple environments Install new versions patches support upgrades of CDP Private Cloud and IBM BigSQL Monitor and troubleshoot platform issues and performance tuning Support security policies documentation and compliance Document processes and policies for Hadoop System Administration Platform support activities Work with end users to identify and resolve issues Work with vendors to resolve issues as needed Provide governance and support to project teams Upgrade to CDP Private Cloud to CDP Public Cloud Skills Bachelors or Masters degree in Computer Science or applicable field of study 3- 5 Years Of Experience In Hadoop Ecosystem HDFS MapReduce Hive HBase Spark Scala Yarn Sqoop Ranger Knox Kerberos LDAP SOLR 6 Years Of Experience With Java And LinuxUnix 4 Years Of Experience With Security Scripting and Automation 2 Years Of Experience In R Python Flume Storm Kafka 2 Years Of Experience With IBM BigSQL Or Similar MPP SQL Engines 2 Years Of Experience with MYSQL 1 Years Of Experience wit CICD Experience with administration and performance tuning of Hadoop distributions open source and commercial Highly competent with Data Lake concepts and Big Data capabilities Good understanding of data virtualization replication Data G Experience with AWS or other Cloudbased PaaSSaaS environments Experience with AWS EMR Strong communication skills If you are interested, share the updated resume to prathyusha.m@s3staff.com

Are you passionate about turning real-world healthcare data into actionable insights that improve patient outcomes? At Prospection , we empower better healthcare decisions by uncovering meaning from large-scale health data sets and delivering powerful, data-driven strategies. We’re looking for a Senior Analytics Consultant to join our fast-growing team. This is a hands-on role where you’ll leverage advanced data analytics, predictive modelling, and real-world data (RWD) to deliver high-impact outcomes for pharmaceutical companies, healthcare providers, and governments—across Australia and globally. About Us Prospection is a pioneer in healthcare analytics, applying machine learning, predictive modelling, and advanced SQL/Python analytics to real-world datasets—claims, EMR, registries, and supply chain. From immuno-oncology to hepatitis, our insights have supported 70+ therapy areas worldwide . What You’ll Do Support the full lifecycle of pharmaceutical products—from development to market launch and post-market monitoring—using advanced analytics to uncover key trends and opportunities. Conduct market sizing, cohort analysis, risk stratification, and KPI modelling to inform product and marketing strategies. Build and optimise automated data pipelines (e.g., in Dataiku) to improve reporting efficiency and deliver faster insights. Develop and present interactive dashboards, visualisations, and executive presentations to communicate findings to stakeholders. Partner with Sales teams to translate analytical insights into scalable, productised solutions that align with our platform vision. Collaborate with regional analytics teams, sharing best practices in predictive modelling, machine learning, and advanced SQL querying to ensure consistent quality and innovation. Mentor junior team members, promoting analytical excellence and knowledge sharing. Essential Criteria 5+ years’ experience working with pharma clients, leveraging longitudinal real-world patient datasets to solve use cases such as forecasting, brand performance tracking, prescriber targeting, segmentation, patient journeys, and omni-channel attribution. Strong solutioning mindset : able to engage directly with clients, unpack requirements through probing Q&A, translate business needs into analytical designs, and own the problem→solution path. Proven client communication skills: confident running pharma stakeholder meetings , handling back-and-forth to refine scope, and presenting insights. Team leadership: experience managing and mentoring analysts/scientists; setting standards, reviewing work, and building repeatable best practices. Technical excellence : advanced SQL (joins, windows, aggregations); Python (NumPy, pandas, scikit-learn, XGBoost); data viz in Power BI; power-user of Excel (VBA/Macros, Power Query). Able to take a brief and query/shape data end-to-end independently. Healthcare analytics background with real-world/claims/EMR data; comfortable with clinical context (e.g., indications, lines of therapy, persistence, switching) and quick to learn unfamiliar disease areas. Degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science, Health Economics) or equivalent experience. Mindset : hungry, curious, and proactive - eager to learn and continuously raise the bar for the team. Why Join Prospection? Impact: Work on projects that improve healthcare delivery and patient outcomes globally. Growth: Be part of a rapidly scaling company with career advancement opportunities. Culture: Join a collaborative, mission-driven team passionate about healthcare and data. Learning: Access professional development, mentorship, and exposure to advanced analytics technologies. If you’re ready to use your skills in SQL, Python, predictive modelling, and healthcare data analytics to make a real difference, we’d love to hear from you.

Department Profile The Analytics & Data (A&D) organization is a key growth area within Morgan Stanleys Wealth Management Division, playing a critical role in the execution of the wider Wealth Management strategy. The team owns all the executive reporting, insights, and predictive modeling in support of Wealth Management business. The use of analytics and data will be a key driver in accelerating growth across client segments, enabling data-driven decision making and delivering the best client experience. Position Summary We are looking for an experienced professional to join the Analytics & Data organization who can work as a player-coach. The role involves focusing on Analytics, Reporting, and providing Strategic Insights for US Banks. The candidate will be responsible for distributing various reports to senior management and stakeholders, collaborating to build hypotheses and analyses, and providing actionable insights. The role also requires building relationships with key stakeholders and leading meetings and presentations. This role will report to the Head of Analytics & Data Mumbai, joining a cohort of other ambitious and enthusiastic professionals, driven by ideas and with an appetite for strategic analytics. We are looking for someone willing to think beyond traditional organizational structures and with a strong desire to enhance the data and deepen the analytics. Key Responsibilities Key responsibilities will include but will not be limited to the following: Collaborate with cross-functional partners across A&D, Product, Technology and Marketing Support and develop client segmentation model across all channels through curated and consolidated data from various data sources. Ensure distribution of reporting on a daily, weekly, monthly basis. Synthesize key findings using data to solve business problems and generate business insights. Provide leadership to drive transformation of data into information and strategic insights that will assist leaders' decision-making relative to products, and services that impact business outcomes. Problem solving skills The candidate must demonstrate the ability to identify key issues, gather data to investigate those issues and develop actionable recommendations. Analytical skills The candidate must be highly analytical with experience in defining analytical approaches and applying a range of analytical tools to synthesize insights and develop solutions. Teamwork skills The candidate must be flexible in their work style and be able to work collaboratively with others on the team. Client management skills The candidate must demonstrate the ability to closely partner with senior managers and other stakeholders on reporting needs. Communications skills The candidate must possess strong written and oral communication skills. High proficiency in Microsoft Excel, Word, and PowerPoint Manage and coach team of 4-5 professionals. Experience Bachelors degree in science/engineering/mathematics; MBA or other advanced degree preferred A minimum of 5 years of experience in Data & Analytics (overall 9-15 years), preferably in the financial services industry Required Skills Strong proficiency in SQL, Python and expertise in hands-on data analytics and providing insights; experience in defining analytical approaches and applying a range of analytical tools to synthesize insights and develop solutions will be critical Familiarity with tools/applications like Dataiku, Snowflake, Hue (Hadoop), Salesforce, and Tableau is a plus Proficiency with Microsoft Office tools (Excel, PowerPoint) Keen focus on accuracy and analytical rigor as well as attention to detail, given the highly visibility nature of deliverables owned by the team Track record of working independently and solving problems creatively, as well as the ability to debug/maintain complex codes, with a strong sense of accountability and an eye for innovation Excellent oral and written communication skills, including the ability to present complex information in a clear and concise manner to audiences of various backgrounds/seniority; 2+ years in a client-facing position preferred Ability to work in a collaborative, transparent style within the team and with cross-functional stakeholders across the organization What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - arent just beliefs, they guide the decisions we make every day to do what&aposs best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Summary Position Summary Azure Data Engineer, DT-US USI PxE DnA Role Overview: The Azure Data Engineer is an integral part of the technical application development team and primarily responsible for analyze, plan, design, develop, and implement the Azure Data engineering solutions to meet strategic, usability, performance, reliability, control, and security requirements of Data science processes. Requires demonstrable knowledge in areas of Data engineering, AI/ML, Data warehouse and reporting applications. Must be innovative. Work you will do Perform effort estimation for various implementation and enhancement activities. Perform troubleshooting and problem resolution of applications built and being supported. Excellent written, verbal, listening, analytical, and communication skills are required. Highly self-motivated and directed, Experience in working in team-oriented, collaborative environment. Should take ownership of individual deliverables. Support and coordinate the efforts of Subject Matter Experts, Development, Quality Assurance, Architects and other internal resources for the successful implementation of the projects. Create and maintain internal documentation and end-user training materials as needed. Provide input to standards and guidelines and implement best practices to enable consistency across all projects Participate in the continuous improvement processes as assigned. Ability to recommend innovative solutions to technical problems in a straightforward manner. Key Responsibilities: Outcome-Driven Accountability: Understands and champions accountability for both customer and business outcomes, not just technical output. Has led or contributed to data engineering initiatives that delivered impactful, high-quality solutions to complex problems, emphasizing lean design and implementation. Can share examples where these principles resulted in measurable value for customers and the business. Technical Leadership and Advocacy: Acts as a technical advocate for data products and engineering teams, ensuring alignment with product goals, architecture, and non-functional requirements (NFRs). Participates in and often leads requirement analysis, solution design, development, testing, and integration activities. Actively supports evolutionary releases (such as alpha, beta, MVP) and maintains code integrity and quality throughout the product lifecycle. Can provide examples of technical leadership and advocacy in practice. Engineering Craftsmanship: Demonstrates a strong commitment to engineering excellence as an individual contributor. Maintains high standards for code design, configuration, and ongoing maintenance. Regularly engages in hands-on work, including code reviews, optimizations, and addressing technical debt within sprints. Continuously learns new technologies and frameworks, experimenting and sharing knowledge with the team. Can provide examples of fostering a culture of craftsmanship and continuous improvement. Customer-Centric Engineering: Develops lean, effective solutions by engaging directly with customers and product teams, using rapid experimentation to address real needs. Focuses on delivering the right solution at the right time, balancing speed and quality. Can illustrate how customer engagement and iterative feedback have shaped engineering outcomes. Incremental and Iterative Delivery: Embraces an action-oriented, evidence-driven mindset, favoring incremental progress and learning over exhaustive upfront planning. Navigates complexity and uncertainty by delivering maintainable, supportable solutions in small, validated steps. Can share examples of how this approach has led to successful product delivery. High-Impact Cross-Functional Collaboration and Integration: Works collaboratively with cross-functional teams—including product management, experience, delivery, infrastructure, and security—to integrate diverse perspectives and make balanced decisions. Fosters a collaborative environment that enhances team synergy, innovation, and shared ownership of outcomes. Can provide examples of effective cross-functional collaboration. Advanced Technical Proficiency: Possesses deep expertise in modern engineering practices, including Agile, DevSecOps, CI/CD, and advanced deployment strategies (e.g., Blue-Green, Canary). Applies these techniques to optimize solution delivery and minimize waste. Demonstrates proficiency across the full product development lifecycle, with a focus on continuous improvement and learning. Can provide examples of leveraging advanced technical skills to drive product success. Domain Knowledge: Quickly acquires and applies domain-specific knowledge relevant to the business or product. Translates business and user needs into actionable engineering plans, such as sprint tasks and priorities. Navigates enterprise functions to ensure alignment with organizational goals and product value. Can share examples of translating requirements into impactful engineering solutions. Effective Communication and Influence: Communicates complex technical concepts clearly and persuasively to both technical and non-technical stakeholders. Supports decision-making through well-structured arguments, evidence, and research. Crafts narratives that align technical solutions with business objectives. Can provide examples of influencing outcomes through effective communication. Engagement and Collaborative Co-Creation: Engages constructively with stakeholders at all levels, building relationships that foster co-creation and shared momentum toward product goals. Aligns diverse perspectives and drives consensus to achieve feasible, high-value solutions. Can illustrate how collaborative engagement has contributed to successful outcomes. Education: Bachelor’s degree in Computer Science or Business Information Systems or MCA or equivalent degree. Qualifications: 2 to 5 years Advanced Level of experience in Azure Data engineering Expertise in Development, deployment and monitoring ADF pipelines (using visual studio and browsers) Expertise in Azure databricks internal programming using (PySpark, SparkR and SparkSQL). Expertise in Debugging Azure Databricks notebooks (including AI/ML). Expertise in managing azure storage (Azure Datalake Gen2, Azure Blob Storage, Azure SQL database) Expertise in Azure logic apps Advanced programming skills in Python, R and SQL (SQL for HANA, MS SQL) Hands on experience in Visualization tools (Tableau / PowerBI) Hands on experience in Data science studios like (Dataiku, Azure ML studio) The Team US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. How You Will Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want allourpeopletodevelopintheirownway,playingtotheirownstrengthsastheyhonetheirleadershipskills.And,asa part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. Notwopeoplelearninexactlythesameway.So,weprovidearangeofresources,includingliveclassrooms,team-based learning, and eLearning. Deloitte University (DU): The Leadership Center in India, our state-of-the-art, world-class learningcenterintheHyderabadoffice,isanextensionoftheDUinWestlake,Texas,andrepresentsatangiblesymbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center inIndia . Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Ourpositiveandsupportivecultureencouragesourpeopletodotheirbestworkeveryday.Wecelebrateindividualsby recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered,confident,andaware.Weofferwell-beingprogramsandarecontinuouslylookingfornewwaystomaintaina culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life atDeloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Disclaimer: Please note that this description is subject to change basis business/engagement requirements and at the discretion of the management. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 309907

Job Description Current Employees apply HERE Current Contingent Workers apply HERE Secondary Language(s) Job Description Senior Manager, Data and Analytics Architect THE OPPORTUNITY Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Lead an Organization driven by digital technology and data-backed approaches that supports a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be the leaders who have a passion for using data, analytics, and insights to drive decision-making, which will allow us to tackle some of the world's greatest health threats. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. AN integral part of our company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a talented and motivated Technical Architect to join our Data and Analytics Strategy & Architecture team. Reporting to the Lead Architect, this mid-level Technical Architect role is critical in shaping the technical foundation of our cross-product architecture. The ideal candidate will focus on reference architecture, driving proofs of concept (POCs) and points of view (POVs), staying updated on industry trends, solving technical architecture issues, and enabling a robust data observability framework. The role will also emphasize enterprise data marketplaces and data catalogs to ensure data accessibility, governance, and usability. This position will also focus on creating a customer-centric development environment that is resilient and easily adoptable by various user personas. The outcome of the cross-product integration will be improved efficiency and productivity through accelerated provisioning times and a seamless user experience, eliminating the need for interacting with multiple platforms and teams. What Will You Do In The Role Collaborate with product line teams to design and implement cohesive architecture solutions that enable cross-product integration, spanning ingestion, governance, analytics, and visualization. Develop, maintain, and advocate for reusable reference architectures that align with organizational goals and industry standards. Lead technical POCs and POVs to evaluate new technologies, tools, and methodologies, providing actionable recommendations. Diagnose and resolve complex technical architecture issues, ensuring stability, scalability, and performance across platforms. Implement and maintain frameworks to monitor data quality, lineage, and reliability across data pipelines. Contribute to the design and implementation of an enterprise data marketplace to facilitate self-service data discovery, analytics, and consumption. Oversee and extend the use of Collibra or similar tools to enhance metadata management, data governance, and cataloging across the enterprise. Monitor emerging industry trends in data and analytics (e.g., AI/ML, data engineering, cloud platforms) and identify opportunities to incorporate them into our ecosystem. Work closely with data engineers, data scientists, and other architects to ensure alignment with the enterprise architecture strategy. Create and maintain technical documentation, including architecture diagrams, decision records, and POC/POV results. What Should You Have Strong experience with Databricks, Dataiku, Starburst and related data engineering/analytics platforms. Proficiency in AWS cloud platforms and AWS Data and Analytics technologies Knowledge of modern data architecture patterns like data Lakehouse, data mesh, or data fabric. Hands-on experience with Collibra or similar data catalog tools for metadata management and governance. Familiarity with data observability tools and frameworks to monitor data quality and reliability. Experience contributing to or implementing enterprise data marketplaces, including facilitating self-service data access and analytics. Exposure to designing and implementing scalable, distributed architectures. Proven experience in diagnosing and resolving technical issues in complex systems. Passion for exploring and implementing innovative tools and technologies in data and analytics. 7+ years of total experience in data engineering, analytics, or architecture roles. Hands-on experience with developing ETL pipelines with DBT, Matillion and Airflow. Experience with data modeling, and data visualization tools (e.g., ThoughtSpot, Power BI). Strong communication and collaboration skills. Ability to work in a fast-paced, cross-functional environment. Focus on continuous learning and professional growth. Preferred Skills Certification in Databricks, Dataiku, or a major cloud platform. Experience with orchestration tools like Airflow or Prefect. Understanding of AI/ML workflows and platforms. Exposure to frameworks like Apache Spark or Kubernetes. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are intellectually curious, join us—and start making your impact today. #HYDIT2025 Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Enterprise Architecture (BEA), Business Process Modeling, Data Modeling, Emerging Technologies, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Strategic Planning, System Designs Preferred Skills Job Posting End Date 09/26/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R345601

Job Description R3 Senior Manager – Data and Analytics Architect The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centre’s focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a highly motivated and hands-on Data & Analytics Architect to join our Strategy & Architecture team within CDNA. This mid-level role will play a critical part in designing scalable, reusable, and secure data and analytics solutions across the enterprise. You will work under the guidance of a senior architect and be directly involved in the implementation of architectural patterns, reference solutions, and technical best practices. This is a highly technical role, ideal for someone who enjoys problem-solving, building frameworks, and working in a fast-paced, collaborative environment. What Will You Do In This Role Partner with senior architects to define and implement modern data architecture patterns and reusable frameworks. Design and develop reference implementations for ingestion, transformation, governance, and analytics using tools such as Databricks (must-have), Informatica, AWS Glue, S3, Redshift, and DBT. Contribute to the development of a consistent and governed semantic layer, ensuring alignment in business logic, definitions, and metrics across the enterprise. Work closely with product line teams to ensure architectural compliance, scalability, and interoperability. Build and optimize batch and real-time data pipelines, applying best practices in data modeling, transformation, and metadata management. Contribute to architecture governance processes, participate in design reviews, and document architectural decisions. Support mentoring of junior engineers and help foster a strong technical culture within the India-based team. What Should You Have Bachelor’s degree in information technology, Computer Science or any Technology stream. 5–8 years of experience in data architecture, data engineering, or analytics solution delivery. Proven hands-on experience with Databricks (must), Informatica, AWS data ecosystem (S3, Glue, Redshift, etc.), and DBT. Solid understanding of semantic layer design, including canonical data models and standardized metric logic for enterprise reporting and analytics. Proficient in SQL, Python, or Scala. Strong grasp of data modeling techniques (relational, dimensional, NoSQL), ETL/ELT design, and streaming data frameworks. Knowledge of data governance, data security, lineage, and compliance best practices. Strong collaboration and communication skills across global and distributed teams. Experience with Dataiku or similar data science/analytics platforms is a plus. Exposure to AI/ML and GenAI use cases is advantageous. Background in pharmaceutical, healthcare, or life sciences industries is preferred. Familiarity with API design, data services, and event-driven architecture is beneficial. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Enterprise Architecture (BEA), Business Process Modeling, Data Modeling, Emerging Technologies, Requirements Management, Solution Architecture, Stakeholder Relationship Management, Strategic Planning, System Designs Preferred Skills Job Posting End Date 09/26/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R341138

Leadership role in supporting AWM LFO Predictive Analytics Ameriprise India team and responsible for leading the advanced data science related work. Work in a matrix organization with data scientists, data engineers and decision science managers, collaborate with cross-functional teams, recommend, and implement analytical solutions to Advise & Wealth Management business. Actively participate in strategic planning, project management and hands-on involvement in complex data analysis that supports business decisions Key Responsibilities Responsible for the analysis, design, development and implementation of decision support models and data visualizations using Python, Microsoft Excel/PowerBI based tools like PowerPivot/PowerView. Develop innovative analytical solutions, like segmentation, predictive modeling, simulation modeling, and optimization. Develops and maintains infrastructure systems that connect organization's internal data sets; creates new data collection frameworks for structured and unstructured data of client organization. Interact with business partner to analyze and interpret business needs. Ensure to translate top level business goals into quantifiable analysis activities. Test and measure effectiveness of new approaches as well as process improvements. Coordinate tasks and assignments across many individuals Develop presentation decks and communicate clearly to business leaders. Demonstrate thought leadership in solving complex business problems People Management - drive performance of the team, ensure strong levers of people development to build high performing teams. Required Qualifications Engineering (B.E./ B.Tech.) graduate or Masters (Stats, Quant, Mathematics, OR, etc.) from a well-recognized institute, having MBA degree would be preferred 12+ Years of relevant experience in the field of Data Science. Experience in conducting hands-on complex analytics projects using advanced statistical methods such GLM, Bayesian methods, random forest, gradient boosting, neural network, and machine learning methods etc. Proficient in Python programming, cloud computing (AWS), SQL and Data Lake experience Proven ability to present/communicate effectively complex technical materials to business leaders Strategic thinker who can provide technical solutions for very complex business problems Excellent knowledge of MS Office Suite In-depth knowledge of financial services industry with a focus in risk and ability to articulate key concepts to others People Leadership Experience (5+ years) – Should have prior experience of leading team members, with responsibilities such as Hiring, Performance management Preferred Qualifications Demonstrated ability to lead up by engaging business partners and finance personnel with clear, data-backed insights Experience on working with AWS Cloud framework and associated tools Experience on working in data lake environment Knowledge about DataIku, PowerBI, Tableau, and other BI and analytical tools is preferred About Our Company Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S President's Office Job Family Group Data

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our consultants serve clients worldwide. Our expertise delivers results. Our optimism transforms outcomes. Heka.ai is the independent brand of Sia Partners dedicated to AI solutions. We host many AI-powered SaaS solutions that can be combined with consulting services or used independently, to provide our customers with solutions at scale. Job Description We are hiring a Power BI Developer to support our global internal teams (Finance, HR, Strategy, Corporate Functions) by delivering high-impact business intelligence dashboards, datasets, and analytics solutions. This role is critical for strengthening our internal reporting systems and driving data-backed decision-making across the organization. Key Responsibilities Design, maintain, and enhance internal Power BI dashboards and analytics for Corporate Finance and other functions. Manage Power BI Service administration tasks, including access control, workspace setup, and gateway configurations. Develop reusable data models using Power BI add-ons (Tabular Editor, DAX Studio, ALM Toolkit). Perform data ingestion, transformation, and enrichment using SQL/Python for structured reporting. Support cross-functional stakeholders with on-demand reporting requests and business data exploration. Maintain documentation for dashboards, models, and datasets; conduct demos, training sessions, and technical watch initiatives. Respond to ad-hoc requests across Power Platform tools (PowerApps, Power Automate). Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, or related field. Experience: 3-6 years of experience developing with Power BI in a production or enterprise setting. Hands-on experience with cloud environments (Azure preferred; AWS/GCP a plus). Familiarity with UI/UX design principles for dashboards. Strong proficiency in: Power BI tools: DAX, Power Query (M), Tabular Models Data handling: SQL, Python ETL tools (preferred): Dataiku, Azure Data Factory, SSIS Certifications: Mandatory: PL-300 (Microsoft Certified: Data Analyst Associate) Preferred: PL-200: Power Platform Functional Consultant or PL-600: Power Platform Solution Soft Skills Strong analytical and problem-solving mindset with attention to detail. Collaborative team player with ability to work across functions and geographies. Proactive and self-motivated to own deliverables end-to-end. Excellent verbal and written communication skills in English, French is a plus. Additional Information What We Offer Opportunity to lead cutting-edge AI projects in a global consulting environment. Leadership development programs and training sessions at our global centers. A dynamic and collaborative team environment with diverse projects. Position based in Mumbai (onsite) Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

Role Overview: The Analytics & Data (A&D) organization at Morgan Stanley's Wealth Management Division is seeking an experienced professional to join as an Analytics Specialist for US Banks. As part of this role, you will be responsible for providing analytics, insights, and business intelligence to support decision-making and strategy for the US Banks segment. Your work will involve hands-on data analysis, report delivery, insights generation, and process optimization to enhance the overall client experience and drive business growth. Key Responsibilities: - Support US-based colleagues by providing reporting, insights, and process optimization for US Banks, focusing on performance measurement, analytical deep dives, client profile analysis, segmentation, and ad hoc strategic requests. - Utilize data from various sources to create and maintain innovative datasets, streamline processes, and improve efficiency. - Develop comprehensive reporting and visualization suites to enable regular reporting and benchmark creation. - Design and implement efficient analytical solutions with a focus on automation, collaborating with Data Strategy, Infrastructure, and Tech teams for continuous process improvement. - Establish yourself as a Subject Matter Expert (SME) for new initiatives and drive innovation within the team. Qualifications Required: - Bachelor's degree in science, engineering, mathematics; MBA or other advanced degree preferred. - Minimum of 3 years of experience in Data & Analytics (total 6-10 years), preferably in the financial services industry. - Strong proficiency in SQL, hands-on data analytics, and sourcing data from multiple platforms. - Proficiency in Microsoft Office tools (Excel, PowerPoint) and experience with data visualization tools like Tableau. - Basic familiarity with tools like Dataiku, Snowflake, Hadoop, DB2, Salesforce is a plus. - Attention to detail, analytical rigor, and ability to work independently with a can-do attitude. - Excellent oral and written communication skills for effective collaboration with colleagues and management in different geographic locations. Additional Company Details: Morgan Stanley is committed to providing first-class service and maintaining a high standard of excellence. The values of putting clients first, leading with exceptional ideas, and promoting diversity and inclusion guide the decisions made every day. Employees are supported and empowered to work alongside diverse teams in a collaborative and creative environment. The company offers attractive benefits and opportunities for career advancement to individuals who demonstrate passion and dedication in their work. To explore Morgan Stanley's global offices, visit https://www.morganstanley.com/about-us/global-offices. Morgan Stanley is an equal opportunities employer, fostering an inclusive environment where individuals can maximize their potential based on skills and talents. The company's commitment to diversity and inclusion is reflected in its workforce drawn from diverse backgrounds and experiences, creating a culture of collaboration and innovation.,

As a leader in supporting AWM LFO Predictive Analytics Ameriprise India team, you will be responsible for leading advanced data science work and collaborating with cross-functional teams to recommend and implement analytical solutions for the Advise & Wealth Management business. **Key Responsibilities:** - Analyze, design, develop, and implement decision support models and data visualizations using tools like Python, Microsoft Excel/PowerBI. - Develop innovative analytical solutions such as segmentation, predictive modeling, simulation modeling, and optimization. - Maintain infrastructure systems connecting internal data sets and create new data collection frameworks. - Interact with business partners to analyze and interpret business needs, translating top-level goals into quantifiable analysis activities. - Develop presentation decks and effectively communicate with business leaders. - Demonstrate thought leadership in solving complex business problems. - Drive team performance and ensure strong people development for high performance. **Required Qualifications:** - Engineering (B.E./ B.Tech.) graduate or Masters in Stats, Quant, Mathematics, OR, etc. from a well-recognized institute; MBA degree preferred. - 12+ years of experience in Data Science. - Hands-on experience in complex analytics projects using advanced statistical methods. - Proficiency in Python, cloud computing (AWS), SQL, and Data Lake experience. - Ability to effectively present complex technical materials to business leaders. - Strategic thinker providing technical solutions for complex business problems. - Excellent knowledge of MS Office Suite. - In-depth knowledge of the financial services industry with a focus on risk. - People leadership experience with prior team management responsibilities. **Preferred Qualifications:** - Ability to engage business partners and finance personnel with clear, data-backed insights. - Experience working with AWS Cloud framework and associated tools. - Experience working in a data lake environment. - Knowledge of tools like DataIku, PowerBI, Tableau, and other BI and analytical tools. At Ameriprise India LLP, we have been providing client-based financial solutions for 125 years. Join our inclusive and collaborative culture that rewards contributions and offers opportunities for growth. Make your mark and a difference in your community by creating a career at Ameriprise India LLP. (Note: The additional details about the company have been omitted as they were not explicitly mentioned in the job description.),

About the Job : We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this pivotal role, you will be instrumental in driving our data engineering initiatives, with a strong emphasis on leveraging Dataiku's capabilities to enhance data processing and analytics. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring seamless integration of diverse data sources, and maintaining high data quality and accessibility to support our business intelligence and advanced analytics projects. This role requires a unique blend of expertise in traditional data engineering principles, advanced data modeling, and a forward-thinking approach to integrating cutting-AI technologies, particularly LLM Mesh for Generative AI applications. If you are passionate about building scalable data solutions and are eager to explore the cutting edge of AI, we encourage you to apply. Key Responsibilities : - Dataiku Leadership : Drive data engineering initiatives with a strong emphasis on leveraging Dataiku capabilities for data preparation, analysis, visualization, and the deployment of data solutions. - Data Pipeline Development : Design, develop, and optimize robust and scalable data pipelines to support various business intelligence and advanced analytics projects. This includes developing and maintaining ETL/ELT processes to automate data extraction, transformation, and loading from diverse sources. - Data Modeling & Architecture : Apply expertise in data modeling techniques to design efficient and scalable database structures, ensuring data integrity and optimal performance. - ETL/ELT Expertise : Implement and manage ETL processes and tools to ensure efficient and reliable data flow, maintaining high data quality and accessibility. - Gen AI Integration : Explore and implement solutions leveraging LLM Mesh for Generative AI applications, contributing to the development of innovative AI-powered features. - Programming & Scripting : Utilize programming languages such as Python and SQL for data manipulation, analysis, automation, and the development of custom data solutions. - Cloud Platform Deployment : Deploy and manage scalable data solutions on cloud platforms such as AWS or Azure, leveraging their respective services for optimal performance and cost-efficiency. - Data Quality & Governance : Ensure seamless integration of data sources, maintaining high data quality, consistency, and accessibility across all data assets. Implement data governance best practices. - Collaboration & Mentorship : Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions. Potentially mentor junior team members. - Performance Optimization : Continuously monitor and optimize the performance of data pipelines and data systems. Required Skills & Experience : - Proficiency in Dataiku : Demonstrable expertise in Dataiku for data preparation, analysis, visualization, and building end-to-end data pipelines and applications. - Expertise in Data Modeling : Strong understanding and practical experience in various data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) to design efficient and scalable database structures. - ETL/ELT Processes & Tools : Extensive experience with ETL/ELT processes and a proven track record of using various ETL tools (e.g., Dataiku's built-in capabilities, Apache Airflow, Talend, SSIS, etc.). - Familiarity with LLM Mesh : Familiarity with LLM Mesh or similar frameworks for Gen AI applications, understanding its concepts and potential for integration. - Programming Languages : Strong proficiency in Python for data manipulation, scripting, and developing data solutions. Solid command of SQL for complex querying, data analysis, and database interactions. - Cloud Platforms : Knowledge and hands-on experience with at least one major cloud platform (AWS or Azure) for deploying and managing scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse, etc.). - Gen AI Concepts : Basic understanding of Generative AI concepts and their potential applications in data engineering. - Problem-Solving : Excellent analytical and problem-solving skills with a keen eye for detail. - Communication : Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Bonus Points (Nice to Have) : - Experience with other big data technologies (e.g., Spark, Hadoop, Snowflake). - Familiarity with data governance and data security best practices. - Experience with MLOps principles and tools. - Contributions to open-source projects related to data engineering or AI. Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

About the Job : We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this pivotal role, you will be instrumental in driving our data engineering initiatives, with a strong emphasis on leveraging Dataiku's capabilities to enhance data processing and analytics. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring seamless integration of diverse data sources, and maintaining high data quality and accessibility to support our business intelligence and advanced analytics projects. This role requires a unique blend of expertise in traditional data engineering principles, advanced data modeling, and a forward-thinking approach to integrating cutting-AI technologies, particularly LLM Mesh for Generative AI applications. If you are passionate about building scalable data solutions and are eager to explore the cutting edge of AI, we encourage you to apply. Key Responsibilities : - Dataiku Leadership : Drive data engineering initiatives with a strong emphasis on leveraging Dataiku capabilities for data preparation, analysis, visualization, and the deployment of data solutions. - Data Pipeline Development : Design, develop, and optimize robust and scalable data pipelines to support various business intelligence and advanced analytics projects. This includes developing and maintaining ETL/ELT processes to automate data extraction, transformation, and loading from diverse sources. - Data Modeling & Architecture : Apply expertise in data modeling techniques to design efficient and scalable database structures, ensuring data integrity and optimal performance. - ETL/ELT Expertise : Implement and manage ETL processes and tools to ensure efficient and reliable data flow, maintaining high data quality and accessibility. - Gen AI Integration : Explore and implement solutions leveraging LLM Mesh for Generative AI applications, contributing to the development of innovative AI-powered features. - Programming & Scripting : Utilize programming languages such as Python and SQL for data manipulation, analysis, automation, and the development of custom data solutions. - Cloud Platform Deployment : Deploy and manage scalable data solutions on cloud platforms such as AWS or Azure, leveraging their respective services for optimal performance and cost-efficiency. - Data Quality & Governance : Ensure seamless integration of data sources, maintaining high data quality, consistency, and accessibility across all data assets. Implement data governance best practices. - Collaboration & Mentorship : Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions. Potentially mentor junior team members. - Performance Optimization : Continuously monitor and optimize the performance of data pipelines and data systems. Required Skills & Experience : - Proficiency in Dataiku : Demonstrable expertise in Dataiku for data preparation, analysis, visualization, and building end-to-end data pipelines and applications. - Expertise in Data Modeling : Strong understanding and practical experience in various data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) to design efficient and scalable database structures. - ETL/ELT Processes & Tools : Extensive experience with ETL/ELT processes and a proven track record of using various ETL tools (e.g., Dataiku's built-in capabilities, Apache Airflow, Talend, SSIS, etc.). - Familiarity with LLM Mesh : Familiarity with LLM Mesh or similar frameworks for Gen AI applications, understanding its concepts and potential for integration. - Programming Languages : Strong proficiency in Python for data manipulation, scripting, and developing data solutions. Solid command of SQL for complex querying, data analysis, and database interactions. - Cloud Platforms : Knowledge and hands-on experience with at least one major cloud platform (AWS or Azure) for deploying and managing scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse, etc.). - Gen AI Concepts : Basic understanding of Generative AI concepts and their potential applications in data engineering. - Problem-Solving : Excellent analytical and problem-solving skills with a keen eye for detail. - Communication : Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Bonus Points (Nice to Have) : - Experience with other big data technologies (e.g., Spark, Hadoop, Snowflake). - Familiarity with data governance and data security best practices. - Experience with MLOps principles and tools. - Contributions to open-source projects related to data engineering or AI. Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

About the Job : We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this pivotal role, you will be instrumental in driving our data engineering initiatives, with a strong emphasis on leveraging Dataiku's capabilities to enhance data processing and analytics. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring seamless integration of diverse data sources, and maintaining high data quality and accessibility to support our business intelligence and advanced analytics projects. This role requires a unique blend of expertise in traditional data engineering principles, advanced data modeling, and a forward-thinking approach to integrating cutting-AI technologies, particularly LLM Mesh for Generative AI applications. If you are passionate about building scalable data solutions and are eager to explore the cutting edge of AI, we encourage you to apply. Key Responsibilities : - Dataiku Leadership : Drive data engineering initiatives with a strong emphasis on leveraging Dataiku capabilities for data preparation, analysis, visualization, and the deployment of data solutions. - Data Pipeline Development : Design, develop, and optimize robust and scalable data pipelines to support various business intelligence and advanced analytics projects. This includes developing and maintaining ETL/ELT processes to automate data extraction, transformation, and loading from diverse sources. - Data Modeling & Architecture : Apply expertise in data modeling techniques to design efficient and scalable database structures, ensuring data integrity and optimal performance. - ETL/ELT Expertise : Implement and manage ETL processes and tools to ensure efficient and reliable data flow, maintaining high data quality and accessibility. - Gen AI Integration : Explore and implement solutions leveraging LLM Mesh for Generative AI applications, contributing to the development of innovative AI-powered features. - Programming & Scripting : Utilize programming languages such as Python and SQL for data manipulation, analysis, automation, and the development of custom data solutions. - Cloud Platform Deployment : Deploy and manage scalable data solutions on cloud platforms such as AWS or Azure, leveraging their respective services for optimal performance and cost-efficiency. - Data Quality & Governance : Ensure seamless integration of data sources, maintaining high data quality, consistency, and accessibility across all data assets. Implement data governance best practices. - Collaboration & Mentorship : Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions. Potentially mentor junior team members. - Performance Optimization : Continuously monitor and optimize the performance of data pipelines and data systems. Required Skills & Experience : - Proficiency in Dataiku : Demonstrable expertise in Dataiku for data preparation, analysis, visualization, and building end-to-end data pipelines and applications. - Expertise in Data Modeling : Strong understanding and practical experience in various data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) to design efficient and scalable database structures. - ETL/ELT Processes & Tools : Extensive experience with ETL/ELT processes and a proven track record of using various ETL tools (e.g., Dataiku's built-in capabilities, Apache Airflow, Talend, SSIS, etc.). - Familiarity with LLM Mesh : Familiarity with LLM Mesh or similar frameworks for Gen AI applications, understanding its concepts and potential for integration. - Programming Languages : Strong proficiency in Python for data manipulation, scripting, and developing data solutions. Solid command of SQL for complex querying, data analysis, and database interactions. - Cloud Platforms : Knowledge and hands-on experience with at least one major cloud platform (AWS or Azure) for deploying and managing scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse, etc.). - Gen AI Concepts : Basic understanding of Generative AI concepts and their potential applications in data engineering. - Problem-Solving : Excellent analytical and problem-solving skills with a keen eye for detail. - Communication : Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Bonus Points (Nice to Have) : - Experience with other big data technologies (e.g., Spark, Hadoop, Snowflake). - Familiarity with data governance and data security best practices. - Experience with MLOps principles and tools. - Contributions to open-source projects related to data engineering or AI. Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. What You’ll Do Design & Implement an enterprise data management strategy aligned with business process, focusing on data models designs, database development standards and data management frameworks Develop and maintain data management and governance frameworks to ensure data quality, consistency and compliance for different Discover domains such as Multi omics, In Vivo, Ex Vivo, In Vitro datasets Design and develop scalable cloud based (AWS or Azure) solutions following enterprise standards Design robust data model for semi-structured/structured datasets by following various modelling techniques Design & implement of complex ETL data-pipelines to handle various semi-structured/structured datasets coming from Labs and scientific platforms Work with LAB ecosystems (ELNs, LIMS, CDS etc) to build Integration & data solutions around them Collaborate with various stakeholders, including data scientists, researchers, and IT, to optimize data utilization and align data strategies with organizational goals Stay abreast of the latest trends in Data management technologies and introduce innovative approaches to data analysis and pipeline development. Lead projects from conception to completion, ensuring alignment with enterprise goals and standards. Communicate complex technical details effectively to both technical and non-technical stakeholders. What You’ll Bring Minimum of 7+ years of hands-on experience in developing data management solutions solving problems in Discovery/ Research domain Advanced knowledge of data management tools and frameworks, such as SQL/NoSQL, ETL/ELT tools, and data visualization tools across various private clouds Strong experience in following: Cloud based DBMS/Data warehouse offerings - AWS Redshift, AWS RDS/Aurora, Snowflake, Databricks ETL tools - Cloud based tools Well versed with different cloud computing offerings in AWS and Azure Well aware of Industry followed data security and governance norms Building API Integration layers b/w multiple systems Hands-on experience with data platforms technologies like: Databricks, AWS, Snowflake, HPC ( certifications will be a plus) Strong programming skills in languages such as Python, R Strong organizational and leadership skills. Bachelor’s or Master’s degree in Computational Biology, Computer Science, or a related field. Ph.D. is a plus. Preferred/Good To Have MLOps expertise leveraging ML Platforms like Dataiku, Databricks, Sagemaker Experience with Other technologies like Data Sharing (eg. Starburst), Data Virtualization (Denodo), API Management (mulesoft etc) Cloud Solution Architect certification (like AWS SA Professional or others) Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Key Responsibilities Design and implement machine learning models to support business initiatives. Work with large datasets and apply advanced ML/AI techniques (Supervised, Unsupervised, Deep Learning, NLP, CV, etc.). Conduct statistical analysis (Bayesian, Frequentist, Optimization, Time Series). Document reusable code and frameworks. Communicate insights and recommendations to senior management. Participate in internal knowledge-sharing and represent the team in meetups/conferences. Skills Required Strong programming skills in Python / R / SAS. Proficiency in SQL / NoSQL databases. Experience with cloud platforms (AWS, GCP, Azure, Dataiku). Hands-on experience with ML/AI methodologies. Strong communication and stakeholder management skills. BenefitsCompetitive salary and performance incentives Opportunities to work on cutting-edge AI/ML projects Continuous learning and development programs Exposure to conferences and external forums

As an SCM Analytics professional at Standard Chartered, your role will involve supporting reporting, analytics initiatives, and data product development within the Supply Chain Management (SCM) domain. Your responsibilities will include: - Supporting day-to-day activities across SCM analytics such as reporting, dashboarding, data integrity checks, and ad-hoc analysis. - Acting as the technical Subject Matter Expert (SME) for SCM data related to Procurement, Invoicing, Supplier, and Contract analytics. - Building and maintaining data pipelines, workflows, and automation using SQL and Dataiku (or equivalent ETL platforms). - Developing dashboards and reports in Tableau and MicroStrategy (MSTR) to provide strategic and operational insights. - Collaborating with business stakeholders to translate requirements into robust data models and analytics solutions. - Troubleshooting data issues and serving as the point of contact for data quality and reconciliation matters. - Assisting in the development of data products that offer reusable and scalable components. - Documenting processes, lineage, and data definitions to support governance and audit readiness. Qualifications required for this role include: - Bachelor's or Masters degree in Data Science, Computer Science, Engineering, or a related field. - 5+ years of experience in analytics roles, preferably in a banking or global shared services environment. - Strong analytical thinking and problem-solving mindset with attention to detail. - Ability to work independently, manage multiple tasks, and prioritize based on business impact. - Exposure to Agile methodology and experience with JIRA, Confluence, or similar tools is a plus. - SCM data exposure especially with SAP Ariba, S4 and BTC. In terms of skills and experience, you should have: - Strong SQL proficiency. - Hands-on experience in Dataiku or similar data engineering platforms (Alteryx, Azure Data Factory, etc.). - Proficiency in Python for data transformation, automation, and light analytics modeling. - Advanced skills in Tableau and MicroStrategy (MSTR) for dashboarding and data storytelling. - Experience working with large data sets, including data cleansing, enrichment, and reconciliation. - Understanding of SCM processes such as Contract, TPRM, Purchase Requisitions, Orders, Invoices, Vendor Master, and Spend Analysis. About Standard Chartered: Standard Chartered is an international bank committed to making a positive difference for its clients, communities, and employees. The bank values diversity and inclusion, encourages continuous learning, and provides various benefits to support employee well-being and growth. If you are looking for a purpose-driven career in banking, Standard Chartered welcomes your unique talents and contributions. Join us at Standard Chartered, where we do the right thing, continuously strive for improvement, and work together to build for the long term.,

Role Overview: As a Data Analyst at Standard Chartered, you will be responsible for managing all aspects of new work/project assessments from inception to delivery. Your main tasks will include building close working relationships with the chief data office to design and implement specific data requirements based on the bank's data standards. Additionally, you will collaborate with project teams, partners, and third-party vendors. Key Responsibilities: - Work closely with business users to understand their data analysis needs and requirements. Build specifications that define the business value for data analysis, approach for extracting data from Golden Sources, and business rules/logic. - Align with the Bank's Data Quality Management Framework to ensure data quality controls, governance, and compliance are in line with the Banks Data Strategy and Architecture. - Develop use cases for data analytics applications to meet various business needs. Build data models/scenarios to showcase potential insights to the business. - Partner with system and data owners to document Data Standards of individual critical data attributes. - Perform data quality controls assessment, identify gaps, and follow up with data owners for remediation. - Conduct standard/advanced profiling of data attributes to assess data quality. - Perform gap analysis against the established DQMF framework & guidelines to evaluate levels of adherence. - Support the transition of data quality and data governance capabilities into Business as Usual (BAU). - Develop a standard set of analytic tools to enable businesses to perform data analytics. - Provide data readiness reviews before implementation and manage any arising issues related to Data Visualization. This role requires strong data storytelling skills using data visualization tools like Microstrategy, Tableau, etc. Qualifications Required: - Strong query language skills including SQL, Hive, HBase, ETL (Dataiku). - Proficiency in Business Intelligence tools and Decision Support Systems. - Solid data analysis skills using Hive, Spark, Python, R, Microstrategy, and Tableau. - Experience in working with key stakeholders within the business. - Proven problem-solving skills and experience in Data Management and Data Quality Management techniques. - Stakeholder Management and Analysis abilities. - Presentation Skills for data storytelling using visualizations. - Soft Skills including Communication, Negotiation, Relationship Building, and Influencing. About Standard Chartered: Standard Chartered is an international bank known for its positive impact on clients, communities, and employees for over 170 years. The bank values diversity, challenges the status quo, and strives for continuous improvement. If you are seeking a purpose-driven career in a bank that makes a difference, Standard Chartered welcomes you to join their team. The bank's core purpose is to drive commerce and prosperity through unique diversity, advocating for inclusion and embracing differences across teams and geographies. What We Offer: - Core bank funding for retirement savings, medical and life insurance. - Flexible working options and patterns. - Proactive well-being support and continuous learning opportunities. - Inclusive and values-driven organizational culture celebrating diversity and respecting individual potential.,

About the Job : We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this pivotal role, you will be instrumental in driving our data engineering initiatives, with a strong emphasis on leveraging Dataiku's capabilities to enhance data processing and analytics. You will be responsible for designing, developing, and optimizing robust data pipelines, ensuring seamless integration of diverse data sources, and maintaining high data quality and accessibility to support our business intelligence and advanced analytics projects. This role requires a unique blend of expertise in traditional data engineering principles, advanced data modeling, and a forward-thinking approach to integrating cutting-AI technologies, particularly LLM Mesh for Generative AI applications. If you are passionate about building scalable data solutions and are eager to explore the cutting edge of AI, we encourage you to apply. Key Responsibilities : - Dataiku Leadership : Drive data engineering initiatives with a strong emphasis on leveraging Dataiku capabilities for data preparation, analysis, visualization, and the deployment of data solutions. - Data Pipeline Development : Design, develop, and optimize robust and scalable data pipelines to support various business intelligence and advanced analytics projects. This includes developing and maintaining ETL/ELT processes to automate data extraction, transformation, and loading from diverse sources. - Data Modeling & Architecture : Apply expertise in data modeling techniques to design efficient and scalable database structures, ensuring data integrity and optimal performance. - ETL/ELT Expertise : Implement and manage ETL processes and tools to ensure efficient and reliable data flow, maintaining high data quality and accessibility. - Gen AI Integration : Explore and implement solutions leveraging LLM Mesh for Generative AI applications, contributing to the development of innovative AI-powered features. - Programming & Scripting : Utilize programming languages such as Python and SQL for data manipulation, analysis, automation, and the development of custom data solutions. - Cloud Platform Deployment : Deploy and manage scalable data solutions on cloud platforms such as AWS or Azure, leveraging their respective services for optimal performance and cost-efficiency. - Data Quality & Governance : Ensure seamless integration of data sources, maintaining high data quality, consistency, and accessibility across all data assets. Implement data governance best practices. - Collaboration & Mentorship : Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver impactful solutions. Potentially mentor junior team members. - Performance Optimization : Continuously monitor and optimize the performance of data pipelines and data systems. Required Skills & Experience : - Proficiency in Dataiku : Demonstrable expertise in Dataiku for data preparation, analysis, visualization, and building end-to-end data pipelines and applications. - Expertise in Data Modeling : Strong understanding and practical experience in various data modeling techniques (e.g., dimensional modeling, Kimball, Inmon) to design efficient and scalable database structures. - ETL/ELT Processes & Tools : Extensive experience with ETL/ELT processes and a proven track record of using various ETL tools (e.g., Dataiku's built-in capabilities, Apache Airflow, Talend, SSIS, etc.). - Familiarity with LLM Mesh : Familiarity with LLM Mesh or similar frameworks for Gen AI applications, understanding its concepts and potential for integration. - Programming Languages : Strong proficiency in Python for data manipulation, scripting, and developing data solutions. Solid command of SQL for complex querying, data analysis, and database interactions. - Cloud Platforms : Knowledge and hands-on experience with at least one major cloud platform (AWS or Azure) for deploying and managing scalable data solutions (e.g., S3, EC2, Azure Data Lake, Azure Synapse, etc.). - Gen AI Concepts : Basic understanding of Generative AI concepts and their potential applications in data engineering. - Problem-Solving : Excellent analytical and problem-solving skills with a keen eye for detail. - Communication : Strong communication and interpersonal skills to collaborate effectively with cross-functional teams. Bonus Points (Nice to Have) : - Experience with other big data technologies (e.g., Spark, Hadoop, Snowflake). - Familiarity with data governance and data security best practices. - Experience with MLOps principles and tools. - Contributions to open-source projects related to data engineering or AI. Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Mandatory Skills: Dataiku . Experience: 5-8 Years . >

Summary Position Summary Job Title—Solution Advisor Join our Finance Transformation practice to help Deloitte client service teams define and execute Finance and Global Business Services agendas and strategies. You will work with world-class teams and insights, helping support delivery in challenging environments, market uncertainty, technology development, and regulatory considerations to help unlock value. Your work may span strategy, operations, process design, and technology as we collaborate with teams to enable transforming finance. Work you will do As part of the team, the Solutions Advisor provides consulting services by working with Deloitte teams on a wide variety of corporations, including multinational companies across all industry segments, including financial services, energy, manufacturing, and health sciences. You will analyze, manipulate, and manage data to deliver meaningful insights necessary to help companies of all sizes and across multiple industries address regulatory and business challenges. Sample consultant responsibilities may include: Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights Creating, managing, and utilizing structured and unstructured data stores Facilitate use of technology-based tools or methodologies to review, design and/or implement products and services Understand current state of finance allocations, identify the cost drivers and determ how cost and profit allocations are being done across different business units and product lines, Identify gaps in current state, rationalize and design future state for finance allocations Creating models for allocation of cost and profitability using tools and technologies like SAP PaPM and/or cost perform Leading client workshops for requirements gathering and gathering functional requirements in user stories that convey what is required to be built Developing system requirements, designing and prototyping, testing, training, defining support procedures and implementation Build workflows to automate finance processes and make them more efficient by leveraging emerging automation or machine learning tools like Alteryx Lead design workshops with client and the project delivery from USI and guide other professionals in the team The Team Controllership & Treasury Transformation' is one of the offering within Finance Transformation portfolio of Deloitte US India Consulting. This Offering advises, implements, and delivers solution as-a-service relating to digital finance strategies, financial planning and analysis, enterprise performance strategies and technologies solutions. By taking a holistic view of these key business areas from strategy development through process design and technology enablement, we help our clients navigate their challenges while continuing to succeed in their business. Qualifications 2-5 Years Exp Required: Demonstrated passion for innovation and use of analytics tools and technologies (e.g. SAS, SQL, VBA, QlikSense, Tableau, PowerBi, Alteryx, Dataiku, Savant, KNIME/Talend, dbt) to solve business issues Master's degree in Finance, Accounting, Information Technology/ CAs / CPAs with mandatory technology (ERP, SQL, Visualization tools) knowledge and experience Project experience in areas such as root cause/gap analysis/best fit, requirements gathering / definition development, financial modeling and value mapping Understanding of agile methodology along with experience in sprints Proficiency in MS Office products, including Excel, Word, and PowerPoint Strong communication, team building, teaming and presentation experience Prior experience working with and managing data sets, including extraction and merges from source systems, transformation, and providing preliminary descriptive analytics Ability to work independently and manage multiple projects/assignments/responsibilities in a fast-paced environment Preferred skills: Experience with design phase of ERP transformation Experience of large enterprise applications (SAP, Oracle, Salesforce, etc.) Knowledge of cost modelling and understanding of how cost allocations are done Alteryx Certification (Core or/and Advanced) Working knowledge of SAP crystal reports Demonstrated problem solving and critical thinking skills Personal attributes Independent thinker and resourceful problem solver with an ability to exercise mature judgment Takes ownership and drives toward a successful outcome Can see the big picture and naturally looks for what other client problems the team can solve Ability to work independently and in teams to manage multiple task assignments Strong oral and written communication skills; including presentation, interpersonal communication, and facilitation skills Brings a genuine approach to day-to-day dealings that includes the highest ethical standard How You Will Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths, as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources, including live classrooms, team-based learning, and eLearning. Deloitte University (DU): The Leadership Center in India, our state-of-the-art, world-class learning center in the Hyderabad offices is an extension of the DU in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: To make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. About Deloitte Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the “Deloitte” name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms. Copyright © 2025 Deloitte Development LLC. All rights reserved. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 310664

Summary Position Summary Job Title—Solution Advisor Join our Finance Transformation practice to help Deloitte client service teams define and execute Finance and Global Business Services agendas and strategies. You will work with world-class teams and insights, helping support delivery in challenging environments, market uncertainty, technology development, and regulatory considerations to help unlock value. Your work may span strategy, operations, process design, and technology as we collaborate with teams to enable transforming finance. Work you will do As part of the team, the Solutions Advisor provides consulting services by working with Deloitte teams on a wide variety of corporations, including multinational companies across all industry segments, including financial services, energy, manufacturing, and health sciences. You will analyze, manipulate, and manage data to deliver meaningful insights necessary to help companies of all sizes and across multiple industries address regulatory and business challenges. Sample consultant responsibilities may include: Querying and analyzing small and large data sets to discover patterns and deliver meaningful insights Creating, managing, and utilizing structured and unstructured data stores Facilitate use of technology-based tools or methodologies to review, design and/or implement products and services Understand current state of finance allocations, identify the cost drivers and determ how cost and profit allocations are being done across different business units and product lines, Identify gaps in current state, rationalize and design future state for finance allocations Creating models for allocation of cost and profitability using tools and technologies like SAP PaPM and/or cost perform Leading client workshops for requirements gathering and gathering functional requirements in user stories that convey what is required to be built Developing system requirements, designing and prototyping, testing, training, defining support procedures and implementation Build workflows to automate finance processes and make them more efficient by leveraging emerging automation or machine learning tools like Alteryx Lead design workshops with client and the project delivery from USI and guide other professionals in the team The Team Controllership & Treasury Transformation' is one of the offering within Finance Transformation portfolio of Deloitte US India Consulting. This Offering advises, implements, and delivers solution as-a-service relating to digital finance strategies, financial planning and analysis, enterprise performance strategies and technologies solutions. By taking a holistic view of these key business areas from strategy development through process design and technology enablement, we help our clients navigate their challenges while continuing to succeed in their business. Qualifications 2-5 Years Exp Required: Demonstrated passion for innovation and use of analytics tools and technologies (e.g. SAS, SQL, VBA, QlikSense, Tableau, PowerBi, Alteryx, Dataiku, Savant, KNIME/Talend, dbt) to solve business issues Master's degree in Finance, Accounting, Information Technology/ CAs / CPAs with mandatory technology (ERP, SQL, Visualization tools) knowledge and experience Project experience in areas such as root cause/gap analysis/best fit, requirements gathering / definition development, financial modeling and value mapping Understanding of agile methodology along with experience in sprints Proficiency in MS Office products, including Excel, Word, and PowerPoint Strong communication, team building, teaming and presentation experience Prior experience working with and managing data sets, including extraction and merges from source systems, transformation, and providing preliminary descriptive analytics Ability to work independently and manage multiple projects/assignments/responsibilities in a fast-paced environment Preferred skills: Experience with design phase of ERP transformation Experience of large enterprise applications (SAP, Oracle, Salesforce, etc.) Knowledge of cost modelling and understanding of how cost allocations are done Alteryx Certification (Core or/and Advanced) Working knowledge of SAP crystal reports Demonstrated problem solving and critical thinking skills Personal attributes Independent thinker and resourceful problem solver with an ability to exercise mature judgment Takes ownership and drives toward a successful outcome Can see the big picture and naturally looks for what other client problems the team can solve Ability to work independently and in teams to manage multiple task assignments Strong oral and written communication skills; including presentation, interpersonal communication, and facilitation skills Brings a genuine approach to day-to-day dealings that includes the highest ethical standard How You Will Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths, as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources, including live classrooms, team-based learning, and eLearning. Deloitte University (DU): The Leadership Center in India, our state-of-the-art, world-class learning center in the Hyderabad offices is an extension of the DU in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: To make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. About Deloitte Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the “Deloitte” name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms. Copyright © 2025 Deloitte Development LLC. All rights reserved. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 310664

Job Description Associate Director, Data Science As an Associate Director in Data Science Market Activation , you will be focused to lead our data science team and drive the development and implementation of innovative data-driven strategies. This role is critical to shaping our data science initiatives, building advanced analytical models, and collaborating cross-functionally to enhance decision-making processes across the organization. Associate Director is expected to lead a function of data scientist. Is accountable for business delivery, growth, value realization and strategy. Availability in office is MUST and Expected to lead on below aspects. Roles and Responsibilities: 1) Functional R&R Be thought leader to our Business Engagement Leads and Marketing team to understand the business problem and provide consultative and analytical solution Should have strong understanding of Pharma healthcare industry and therapy knowledge Design & build predictive models to forecast patient outcomes, such as readmission risk, disease progression, or response to treatment, enabling proactive care management. Strong subject matter expertise in Data Science and Statistical Models, Experience to drive patient, HCP, Payer and Consumer related analytics. Strong hands on with US datasets, IQVIA, Komodo, Epsilon, McKesson and others. MUST have experience in new launch analytics and GTM strategy. Identify & define HCP segmentation and targeting, micro segmentation by content, call planning Analyze longitudinal healthcare data to track patient journeys over time, providing insights into disease progression and treatment efficacy. Ensure data solutions are interoperable across different healthcare systems and platforms, facilitating seamless data exchange and collaboration. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions Evaluate the effectiveness of treatments and interventions by analyzing patient outcomes data to inform clinical decision-making and improve care quality Should be hands on with Python, SQL, Databricks, Dataiku and other platforms. Should have product mindset to build process and analytical solution as enterprise products Provide thought leadership and data science best practices to the broader Data & Analytics organization Provide training & coaching to internal stakeholders to enable a self-service operating model Co-create information governance & apply data privacy best practices to solutions Continuously innovative on best practices & technologies by reviewing external resources & marketplace 2) People Management R&R Leadership: Provide leadership, guidance, and mentorship to Senior Managers and Managers of analysts and data scientists. and create opportunities for professional growth. Team Culture: Foster a collaborative and inclusive team environment, encouraging knowledge sharing and professional growth, timely connect with associates and respect for opinion from all. Recruitment: Participate in the recruitment process by identifying talent needs, interviewing candidates, and making hiring decisions. Capability Building: Develop training programs and initiatives to enhance the skills and capabilities of team members in alignment to their career aspiration and organizational demand and scalability. Performance Management: Set clear performance expectations, conduct regular performance evaluations, and provide timely feedback to team members being assertive and clear. Career Development: Work with team members to define career goals and create development plans to support their advancement within the organization in alignment with their aspirations. Cross-functional Collaboration: Collaborate with other departments and teams to ensure alignment on analytics initiatives and projects Recognize Talent: Create platform for talent showcasing and visibility. Reward and recognizing for their contributions People Engagement: Engage with team members, create speak up and cohesive culture 3) Business Management R&R Strategy Development: Contribute to the development of the analytics strategy aligned with the overall business objectives. Project Management: Oversee the planning demand, execution, and delivery of analytics projects, ensuring they are completed on time and within budget. Insights Delivery: Ensure the delivery of actionable insights and recommendations to key stakeholders to drive business decisions. Data Governance: Establish and enforce data governance policies and procedures to ensure data quality, integrity, and security. Performance Measurement: Define key performance indicators (KPIs) and metrics to measure the effectiveness of analytics initiatives and track progress against business goals. Measure P&L of the function. Continuous Improvement: Identify opportunities for process optimization and efficiency gains within the analytics function. Risk Management: Identify and mitigate risks associated with analytics projects, such as data privacy and security risks. 4) Organization R&R Organization Vision: Understand organization and leadership to map team strategy accordingly. Stakeholder Engagement: Build and maintain relationships with key stakeholders across the organization to understand their analytics needs and priorities. Brand HHDDA services and support to help them scale business initiatives. Resource Allocation: Allocate resources effectively to prioritize and support high-impact analytics projects. Budget Management: Develop and manage the analytics budget, ensuring resources are allocated efficiently and cost-effectively. Communication: Communicate analytics findings, insights, and recommendations effectively to non-technical stakeholders in a clear and concise manner. Change Management: Lead change management efforts related to the adoption of analytics tools, processes, and methodologies within the organization. Compliance: Ensure compliance with relevant regulations and industry standards related to data analytics and privacy. Required Experience and skills: 12+ years relevant experience in data Science, consulting, analytics and data modelling with storytelling and people management Working experience and knowledge in pharma dataset leveraging, Python, SQL, DataBricks DataIKU and other data science technologies Working experience and knowledge in ETL process, data modeling techniques & platforms Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.) Experience in leveraging and managing third party vendors and contractors Self-motivation, proactivity, and ability to work independently with minimum direction Excellent interpersonal and communication skills Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity Experience in Pharma and or Biotech Industry is a plus Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Not Applicable Shift: Valid Driving License: Hazardous Material(s): Required Skills: Analytics Strategy, Business Intelligence (BI), Business Management, Communication, Database Design, Data Engineering, Data Governance, Data Modeling, Data Science, Data Visualization, Key Performance Indicators (KPI), Machine Learning, Management Process, Marketing, Organizational Performance Management, People Management, Performance Measurement, Project Management, Resource Allocation, Self Motivation, Software Development, Stakeholder Engagement, Stakeholder Relationship Management, Waterfall Model Preferred Skills: Job Posting End Date: 09/30/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R365230

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Roles and responsibilities The ideal candidate should have strong communication skills to effectively engage with both technical and non-technical stakeholdersThe candidate will be responsible for developing end to end task/workflow automation pipeline using Python using wide range of data sources (both on premise and cloud)Candidate should have strong working experience is transforming excel based manual processes to fully automated python based process incorporating strong governance around itThe person should be competent in Python Programming and possess high levels of analytical skills - Data pre-processing, engineering, data pipeline development and automation In-depth knowledge of libraries such as pandas, numpy, scikit-learn, openpyxl, pyxlsb, TensorFlow, PyTorch etc.Well-versed with Python coding standards and formatting conventions to ensure maintainable, scalable, and reusable modules.Build and automate workflows using Microsoft Power Platform (Power BI, Power Apps, Power Automate).integrating systems and automating workflows using WTW Unify Knowledge of Dataiku is a plus.Apply GenAI techniques to enhance data exploration, automate content generation, and support decision-making.Ensure data quality, governance, and compliance with organizational standards.Well-versed with CI/CD pipelines using Azure DevOps (ADO) for seamless deployment and integration of data science solutions.Experience working on Posit Workbench, Posit Connect will be an added advantageStay updated with the latest trends in AI, machine learning, and data engineering.Tools/Tech experience – Mandatory – Python (Data processing, Engineering & Automation), SQL, Proficiency with version control systems like ADO/BitbucketPreferred - R programming, Posit Workbench, R Shiny Experience processing large amount of data using BigData technologies is preferredFamiliarity with Microsoft Power Platform tools.Knowledge of Dataiku is a plus.Familiarity with WTW Unify platform and its applications in analytics.Knowledge of Generative AI models and frameworks (e.g., GPT, DALL·E, Llama).Knowledge of data visualization tools and techniques is a plus Functional/Other expertiseRelevant experience: 8+ years of experience using Python programming Language for end-to-end data pre-processing, transformation and automationExperience in the Insurance domain preferred (for e.g. Finance, Actuarial) Qualifications Educational Qualification: Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions