176 Dataiku Jobs

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges. phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. 5x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024) Fivetran, dbt, Atlation, Matillion Partner of the Year #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc) Recognized as an award-winning workplace in US, India and LATAM phData provides end-to-end services for data engineering, machine learning, and data analytics. Our services and software are used by the world's largest companies to solve their most challenging data problems. We enjoy the work we do and it's reflected in high-quality solutions that provide value to our clients and our communities. Joining the team at phData means giving yourself the opportunity to do your most exciting work. Our work is challenging and our standards are high, but we invest heavily in our employees, starting with training and bootcamp to ensure your success. Plus, you’ll get to work with the brightest minds in the industry and the best in class platforms on the market. And, because the data and ML industry is changing rapidly, you will always have the opportunity to learn - whether that’s a new technology, diving deeper into your preferred stack, or picking up an entirely new skill set. Our consulting services emphasize analytics enablement, data visualization, data preparation, and data science. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results. Our award winning workplace fosters learning, creativity, teamwork and diversity. Awards & Recognition: Best Places to Work (2017, 2018, 2019, 2020, 2021, 2022) Inc. 5000 Fastest Growing US Companies (2019, 2020, 2021, 2022) Tableau Premier Services Partner Microsoft PowerBI Gold Partner Alteryx Premier Partner We’re looking for a talented Analytics Consultant, with an emphasis on Power BI Server Administration, able to help our customers gain tangible value from their data platforms. Gather requirements, pain points, and service from clients on their current Tableau Server environment Provide solutions and recommendations for optimizing their use of Tableau Server and/or Tableau Cloud (Tableau Online) Deliver on project-based consulting engagements; help clients deploy, manage, govern, and tune their Tableau Server environments Manage clients expectations by leading weekly status reports to clients; proactively solicit client feedback by running working sessions Partner with sales team to identify additional sales opportunities within a client; assist with account growth and expansion Overview We are seeking qualified Sr. DevOps engineer, with Power BI as primary and Tableau Server Administration as a secondary skill to help deliver our Elastic Operations service from our Managed Services team in Bangalore, India, as we continue our rapid growth with an expansion of our Indian subsidiary, phData Solutions Private Limited. This expansion comes at the right time with increasing customer demand for data and platform solutions. In addition to the phenomenal growth and learning opportunities, we offer a competitive compensation plan, including base salary, annual bonus, training, and certifications. As a Senior DevOps Engineer on our Consulting Team, you will be responsible for technical delivery for technology projects related to Power BI, and Tableau, and services hosted in the cloud. Responsibilities: Administer and manage PowerBI Service, including gateways, workspaces, security, data refreshes, etc. Troubleshoot issues related to refresh failures, broken datasets, access requests or slow reports. Expertise in Power BI desktop, publishing the reports, and troubleshooting the issues. Provide recommendations for optimising the performance of datasets and visuals. Document best practices and develop user onboarding and training materials. Integrate Power BI with Microsoft Teams, Sharepoint, Power Automate, and DevOps pipelines. Manage BI report subscriptions, alerts, and dashboard embedding. Gather requirements, pain points, and service from clients on their current Tableau Server environment Provide solutions and recommendations for optimizing their use of Tableau Server and/or Tableau Cloud (Tableau Online) Deliver on project-based consulting engagements; help clients deploy, manage, govern, and tune their Tableau Server environments. Manage clients expectations by leading weekly status reports to clients; proactively solicit client feedback by running working sessions Required Experience: 4+ years of relevant experience administering, configuring, and developing in Power BI and Tableau Server Experience coordinating infrastructure in cloud-based environments such as AWS and/or Azure Ability to provide configuration, infrastructure, and performance tuning recommendations Experience with PowerShell scripts, bash scripting, command line and Power BI REST API for administrative automation. Experience with TSM commands for maintenance and upkeep procedures in Tableau Server Exceptional customer facing skills, including but not limited to communication skills and project management skills Strong problem solving skills with a passion for learning and mastering new technologies, techniques, and procedures Preferred Experience: Power BI certification (PL-300 / PL- 900/ DA-100) is strongly preferred Tableau server admin associate or Architect is preferred Experience with enterprise data governance and compliance frameworks and best practices for managing Power BI and Tableau Server, plus if on cloud IaaS (AWS/Azure) Cloud infrastructure experience Experience in Tableau Cloud (Tableau Online) Experience with both Windows and Linux deployments of Tableau Server Experience with deploying automation pipelines Plus if interested in learning server environments for Alteryx, and KNIME Perks and Benefits: Medical Insurance for Self & Family Medical Insurance for Parents Term Life & Personal Accident Wellness Allowance Broadband Reimbursement Professional Development Allowance Reimbursement of Skill Upgrade Certifications Certification Reimbursement phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations. Show more Show less

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses. 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. Division Profile The Analytics & Data (A&D) organization is a key growth area within Morgan Stanley’s Wealth Management Division, playing a critical role in the execution of the wider Wealth Management strategy. The use of analytics and data is a key driver in accelerating growth across WM business, enabling data-driven decision-making and delivering the best client experience. Position Summary Director level role to join our Analytics & Data organization as part of the Key Metrics Analytics function. The candidate will be responsible for the ongoing monitoring, analysis and reporting on key business data metrics for the management and stakeholders, collaborating to help determine timely solutions and providing actionable insights. Key Responsibilities Key responsibilities will include, but will not be limited to the following: Analytical skills – Analyze data to identify key trends and anomalies for key business metrics. Problem solving skills – Ability to identify key issues, gather data to investigate those issues and develop actionable recommendations. Develop a suite of processes needed for data analysis, trends identification & and detect data discrepancies. Teamwork skills – The candidate must be flexible in their work style and be able to work collaboratively with A&D team-members in Mumbai, NY/NJ, and Budapest. Provide reporting support as needed. Experience 6-9 years’ experience in data-centric role Bachelor’s degree required. Experience in Data & Analytics and/or Financial Services is a plus. Required Skills Ability to work independently and possess a strong sense of accountability/ownership. Must be a self-starter and a quick learner, able to prioritize and delegate effectively to manage delivery/execution of a wide range of tasks and initiatives. Strong written, verbal, presentation, and interpersonal skills Proficient in SQL, MS Excel, PowerPoint Experience or knowledge in these skills is a plus – Snowflake, Hadoop, Python, Dataiku, Tableau Ability to work in a team environment and partner with multiple individuals across various groups. Strong analytical and problem-solving skills. Strong diligence, aptitude for working with numerical information. Experience and strong aptitude in using different data environments. Demonstrated effectiveness with both oral and written communication. Comfortable in a fast-paced and evolving environment which includes ongoing learning and training opportunities. Experience in managing a small team (2-3 headcount) is a plus. 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 - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll 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. There’s also ample opportunity to move about the business for those who show passion and grit in their work. 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

Morgan Stanley Senior Platform Engineer - Vice President - Software Production Management & Reliability Engineering Profile Description We’re seeking someone to join our team as (Vice President) Systems Engineer’s role for stability, integrity, and efficient operation of the in-house and 3rd party systems that support core organizational functions. This is achieved by monitoring, maintaining, supporting, and optimizing all networked software and associated operating systems. The Systems Engineer will apply proven communication, analytical, and problem-solving skills to help identify, communicate, and resolve issues in order to maximize the benefit of IT systems investments. This individual will also mentor and provide guidance to the Systems Engineer staff. Investment_Management In the Investment Management division, we deliver active investment strategies across public and private markets and custom solutions to institutional and individual investors. This is Vice President position that oversees the production environment, ensuring the operational reliability of deployed software, and implements strategies to optimize performance and minimize downtime. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What You’ll Do In The Role Designing: Responsible for designing and implementing the overall IM Technology platform architecture, ensuring seamless operation and alignment with the organization’s goals, scalability requirements, and industry best practices. Technology Evaluation: Drive innovation by evaluating and selecting appropriate technologies, frameworks, and tools which will maximize the value produced by the IM Technology platform. Guidance and Leadership: Providing technical guidance and leadership to IM Technology team developers throughout the development lifecycle. Liaise between IM Technology groups and End User Technology to triage environmental issues and resolve before they reach production. Scalability and Performance: Ensuring that the platform architecture can scale efficiently and meet performance requirements. Security: Implementing security best practices for infrastructure, such as network security, access control, and data encryption and also ensuring that the platform architecture is resilient to security threats. Working closely with the Security Architecture team to keep our infrastructure aligned with frequent changes to firm-level security policies such as network security, access control and data encryption. Integration: Overseeing the integration of various components and systems within the platform. Also act as a conduit for secure data transfer between critical platform applications and third-party data providers or receivers. Collaborate: Collaborating with product owners, business stakeholders and ITSO’s to ensure the system's architecture supports the organization's goals and objectives. Testing: Writing and executing tests to ensure the reliability, scalability, and performance of the platform. Deployment: Managing the deployment process and ensuring smooth deployments of platform updates and releases. Monitoring and Maintenance: Monitoring the platform for performance issues, bugs, and security vulnerabilities, and addressing them promptly. This includes performing routine preventative maintenance such as system patching, updates and upgrades. Automation: Implementing automation tools and processes to streamline development, deployment, and maintenance tasks. Documentation: Creating and maintaining technical documentation for the platform components and processes. Infrastructure as Code: Managing infrastructure using code-based tools like Terraform or CloudFormation in order to ensure simplicity of the platform, minimization of errors and adherence to Change Management principles. Containerization and Orchestration: Implementing containerization using Docker and container orchestration using Kubernetes or similar tools. Monitoring and Logging: Setting up monitoring and logging solutions to track the performance and health of the platform. This involves ensuring that any logs generated throughout the platform are tracked in firm-approved systems and are secured according to their level of confidentiality. What You’ll Bring To The Role At least 8 years' relevant experience would generally be expected to find the skills required for this role Good working experience in at least some of the below technologies: Middleware (i.e. Tomcat, WebSphere, WebLogic) App containerization (i.e. Kubernetes, Redhat OpenShift) Automation (i.e. UiPath RPA, Microsoft Power, Airflow) Message Queue (i.e. Kafka, MQ) ETL (i.e. Glide) Analytics (i.e. Dataiku) Data Management (i.e Snowflake, Data Bricks) Should have sound knowledge on IT Application architecture, Design methodologies across multiple platforms. Good understanding of applications capacity management Good experience on applications resilience planning Good working knowledge on SQL and scripting. Sound knowledge on multiple operating systems. Flexibility on off-hours and weekends availability. Excellent understanding of the organization’s goals and objectives. Good project management skills. Excellent written, oral, and interpersonal communication skills. Proven analytical and creative problem-solving abilities. Able to prioritize and execute tasks in a high-pressure environment. Ability to work in a team-oriented, collaborative environment. 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 - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll 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. There’s also ample opportunity to move about the business for those who show passion and grit in their work. 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

Job Description Intern- Data Solutions As an Intern- Data Solutions , you will be part of the Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery. Your Specific Responsibilities Will Include Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field Required Experience High proficiency in SQL, Python and AWS Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer Understanding in creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Hands on with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Hands on with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders 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 Intern/Co-op (Fixed Term) Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/16/2025 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 R344334 Show more Show less

Job Description Manager, Data Scientist 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 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’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 Senior Data Scientist to join our Enterprise IT Advanced Analytics team in our company. This role offers an exciting opportunity to work on initiatives that support our Finance, Procurement, Human Resources, and related business partners. If you have a strong background in machine learning, data science, and optionally large language models, and are passionate about leveraging technology to drive business success, we would love to hear from you. What Will You Do In This Role Understand the needs of the business and translate those needs into technical/DS/ML language. Assess the applicability and develop machine learning and data science solutions to given problems with a focus on AI/ML methods, including large language models. Leverage software engineering methods, including coding, testing, and documentation. Apply data engineering and data modeling skills as needed to deliver the AI/ML solutions. Use visual analytics techniques during the data and business exploration and model building, and, if needed, as a part of the client-facing solution. Define, document, and execute small projects or sub-projects, managing risks and stakeholder involvement. Manage junior staff as a part of the delivery. Within a project delivery, manage stakeholder relationships, including problem resolution and feedback collection. Collaborate cross-functionally to deliver more complex IT or business solutions What Should You Have 3+ years’ experience as a Data Scientist Required Advanced knowledge of statistical modelling and machine learning, in particular regression, classification and forecasting models Proficiency in R and/or Python, git Experience in software development and data engineering with a focus on ML solution build and deployment Ability to apply data engineering and data modelling on a level supporting DS delivery Ability to apply visual analytics techniques and tools on a level supporting DS delivery Experience in project management, including risk management and stakeholder management Working proficiency in English language Preferred Knowledge of large language models (prompt engineering, RAG, agents...), not limited to GPT Knowledge of mathematical optimization techniques Advanced MLOps skills – DS/AI/ML solution build, deployment, monitoring Experience in one or multiple of the supported business functions and types of data (structured and unstructured) existing across those functions Knowledge of cloud services, in particular AWS stack Knowledge of data science platforms Dataiku, Databricks Experience in a similar role in a global, research-oriented pharmaceutical company Proven track record of implementing machine learning and data science solutions Experience in managing stakeholder relationships Demonstrated experience in software development and data engineering Proven experience in project management 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 Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/14/2025 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 R342325 Show more Show less

Job Description Associate Specialist/Analyst - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Understand the business requirements and support the manager to translate those to analytical problem statements. Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding. Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task. Collaborate with cross-functional teams to design and implement solutions that meet business requirements. Present the findings to US DS stakeholders in a clear and concise manner and address feedback. Adopt a continuous learning mindset, both technical and functional. Develop deep expertise in therapeutic area, with clear focus on commercial aspects. Minimum Qualifications Bachelor’s degree with at least 0-3 years industry experience (experience requirement can be waived off for exceptional candidates) Strong Python/R, SQL, Excel skills Strong foundations of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) 1-3 years’ experience in healthcare analytics and consulting Familiarity with Physician and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.) Experience in HCP & Patient Level Data analytics (e.g., HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku 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 Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/16/2025 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 R335736 Show more Show less

Summary Novartis specialists within Data and Product Solutions are on a data and digital transformation journey, leveraging analytics to generate actionable insights for Novartis medicines impacting more than 799 million patients worldwide. The team is poised to enable easier, faster, and reliable decisions for Novartis divisions across the globe. About the Role Location – Hyderabad #Hybrid About the role: Novartis specialists within Data and Product Solutions are on a data and digital transformation journey, leveraging analytics to generate actionable insights for Novartis medicines impacting more than 799 million patients worldwide. The team is poised to enable easier, faster, and reliable decisions for Novartis divisions across the globe. Key Responsibilities: Explore, develop, implement, and evaluate innovative solutions that address customer needs Co-create with key partners to build partnerships & collaborations Develop and coordinate project plans across the design, development, and production stages of a project to support the successful delivery within set KPI's Works in collaboration with brand teams, technical teams & all functions to improve value. Serve as collaborate with the global and local Brand teams on Project Planning and delivery management through delivery of proven analytics-based solutions Take initiative to drive standardization of reports across brands, data, and platforms Essential Requirements: Experience (1-3 years) in data analytics in a market research firm or pharmaceutical company or Pharma KPO Proficiency in SQL, Dataiku, PowerBI, Alteryx, Matillion, Excel, PowerPoint Exposure to US pharma datasets like APLD,SP, IQVIA Xponent, DDD, SMART, Affiliations, Promotional Activity etc. Exposure to DevOps tools like Azure DevOps, JIRA x-Ray etc. -Exposure to Workflow management and automation tools like SharePoint, MS -PowerApps, and Testing techniques on RPA, etc is preferred Proven communication, presentation and stakeholder management skills Strong and proactive business results-focus, and proven ability to provide insights Strong analytical thinking with problem solving approach Ability to drive initiative and deliver Desirable requirements: Exposure to Python is preferred Should have worked in an international company with exposure to healthcare analytics and working in cross-cultural environment. Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Operations Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Description Description Job Objective: To contribute with strong problem-solving skills and process orientation on the projects independently. To help the team with the required training and mentor new joiners. Designation: Senior Business Analyst Job Location: Bangalore/Chennai Type of employment: Permanent Roles & Responsibilities: Provide insights through data analysis and visualization for small to large datasets Ability to translate a business questions into analytical problem to develop business r ules, process flow and methodology for analysis Ability to summarize the analysis using basic statistical methods Work with team to execute Adhoc/ Regular reporting projects Requirements: 2+ years of past professional experience, preferably in the pharma / life sciences domain. Hands on experience in data analytics. Technical Skills: Must – Advanced Excel, SQL or other database query language Good to have: Data analysis tools: Python or PySpark Data visualization tools: Tableau, Qlik or Power BI Automation tools: VBA or Google Apps Scripts No/low code platforms: Dataiku Domain and Data skillset: Good to have – One or more of below dataset knowledge: Patient level data analytics (RWD Data Lake, Optum/ DRG Claims, IQVIA APLD, IQVIA LAAD, Symphony claims, Komodo claims) Field / Sales Analytics (Ad-hoc field analytics, field operations (sizing, structuring, targeting & segmentation) Marketing analytics (Market assessment, Forecasting, competitive intelligence) Experience in analyzing IQVIA/IMS data (patient insights, MIDAS) Additional Skills: Ability to work independently across teams Passion for solving challenging analytical problems Ability to assess a problem quickly, qualitatively, and quantitatively Ability to work productively with team members, identify and resolve tough issues in a collaborative manner Should have excellent communication skills Company Description: Trinity is a life science consulting firm, founded in 1996. We are a trusted strategic partner that provides evidence-based solutions for life science corporations around the world. With over 25 years of experience, we are committed to solving our clients' most challenging problems through exceptional levels of service, powerful tools, and data driven insights. Globally we have 12 offices and 270+ life sciences customers with 1200+ employees worldwide. We started our India office in 2017 and we have around 350+ employees in India, which we are further keen on growing exponentially. Qualifications B.E graduates are preferable Show more Show less

Job Description Primary Responsibilities Drive product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions Define and monitor Product Success metrics and criteria at incremental product development phases, and product adoption Facilitate cross-functional collaboration with engineering, marketing, and sales teams to align on product goals and roadmap planning for automation/improvements as per business needs Effectively communicate progress, challenges, learning and success stories to key stakeholders Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams Gather user feedback to refine product features. Evaluate technical feasibility of new product features and enhancements. Ensure smooth handoff of product requirements to development teams Lead creation of benchmark techniques being deployed across multiple product development strategies Identify cutting-edge trends and best practices in the market to improve product positioning Qualifications Education & Work Experience Requiremen ts Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 6+ years relevant experience Master’s degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 4+ years work experience 2+ Years of Product management or Software development experience Skillset Candidates must have - Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus Experience in Software Development and Engineering, and Analytics Delivery Expertise in developing scalable, secure, and modular product architectures Proficiency in designing & implementing data structure, pipeline & architecture Hands-on experience with product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong problem solving, critical thinking, business analysis and quantitative skills Story Boarding - Ability to effectively communicate proposals to key stakeholders Understanding of end-to-end Pharma commercial landscape Understanding of analytics tools like Tableau, PowerBI, Dataiku etc Candidates are desired but not mandatory to have - Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, A/B testing, propensity score matching etc. Experience working with healthcare, financial, or enterprise SaaS products Experience with Marketing Mix Modeling and optimization with underlying concepts such as ad-stock, decay, interaction and halo effects etc. 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 Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 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 R335759 Show more Show less

Job Description Analytics Engineer We are seeking a talented, motivated and self-driven professional to join the HH Digital, Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier “Data First” commercial biopharma organization. As a Analytics Engineer, you will be part of the HHDDA Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery. Your specific responsibilities will include Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field Required Experience 5+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred Experience Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI) 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 Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/31/2025 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 R335382 Show more Show less

Morgan Stanley Model Risk - RPVG - Associate Profile Description We’re seeking someone to join our team as a [Associate] to [RPVG, Model Risk]. Firm Risk Management In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation strategies, develop tools to analyze and monitor risks and lead key regulatory initiatives. Company Profile Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Primary Responsibilities What you’ll do in the role: Perform independent validations of select FRM processes and controls, including those relating to regulatory and Basel requirements; Support execution of reviews (e.g., planning, documenting, reporting) and continuous monitoring activities (e.g., risk assessments); Contribute to improving the team's validation methodology and execution capabilities; Interface with key stakeholders, governing bodies, and business partners to review status of validation work, results of test work, and quarterly reporting; Partner with other independent validation teams, e.g., Model Risk Management, Regulatory Reporting Quality Assurance (RRQA), to support a unified validation program end-to-end. Experience What you’ll bring to the role: Bachelor's or higher degree in Finance, Economics, Computer Science, Mathematics, Engineering or other business or risk management related areas Experience from consulting, risk management, or internal audit covering processes and controls across risk stripes (e.g., Credit, Market, Liquidity, Capital and Data Risk); Experience in data analytics, data visualization, or process automation; Strong risk, process, and control validation/testing, and assessment skills; Strong communication and analytical skills A commitment to teamwork; Ability to prioritize and manage multiple competing objectives. Skills Strong understanding banking regulatory environment, including familiarity with Bank of International Settlements (BIS) principles (e.g., Basel III, BCBS 239, FRTB) and FRB Capital Planning requirements and practices (e.g., CCAR, DFAST); 3+ years of relevant industry experience with core banking, investment and trading products, and banking regulations (e.g., FRB SR 11-07, SR 12-17, SR 14-08, SR 15-18, PRA SS1/23); Understanding of data lineage and database schema; experience working with large data sets, data warehouse, or data lake; knowledge of IT general controls; business analyst experience; Knowledge and experience with data analytics and data visualization tools and systems (e.g., PowerBI, Alteryx, Dataiku, QlikView, Tableau); experience with writing or editing SQL, VBA (delete VBA), Python and/or other programming languages; advanced Excel knowledge; Relevant certifications or designations (e.g., CFA or FRM) (preferred). 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 - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll 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. There’s also ample opportunity to move about the business for those who show passion and grit in their work. 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

Job Description Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems. About us: Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality. Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last. About the role: We are currently seeking a Machine Learning (Ops) - Engineer , to join our Digi team based in Noida. Key Responsibilities: ML Pipeline Development and Automation: Design, build, and maintain end-to-end AI/ML CI/CD pipelines using Azure DevOps and leveraging Azure AI Stack (e.g., Azure ML, AI Foundry …) and Dataiku Model Deployment and Monitoring: Deliver tooling to deploy AI/ML products into production, ensuring they meet performance, reliability, and security standards. Implement and maintain a transversal monitoring solutions to track model performance, detect drift, and trigger retraining when necessary Collaboration and Support: Work closely with data scientists, AI/ML engineers, and platform team to ensure seamless integration of products into production. Provide technical support and troubleshooting for AI/ML pipelines and infrastructure, particularly in Azure and Dataiku environments Operational Excellence : Define and implement MLOps best practices with a strong focus on governance, security, and quality, while monitoring performance metrics and cost-efficiency to ensure continuous improvement and delivering optimized, high-quality deployments for Azure AI services and Dataiku Documentation and Reporting: Maintain comprehensive documentation of AI/ML pipelines, and processes, with a focus on Azure AI and Dataiku implementations. Provide regular updates to the AI Platform Lead on system status, risks, and resource needs About you: Proven track record of experience in MLOps, DevOps, or related roles Strong knowledge of machine learning workflows, data analytics, and Azure cloud Hands-on experience with tools and technologies such as Dataiku, Azure ML, Azure AI Services, Docker, Kubernetes, and Terraform Proficiency in programming languages such as Python, with experience in ML and automation libraries (e.g., TensorFlow, PyTorch, Azure AI SDK …) Expertise in CI/CD pipeline management and automation tools using Azure DevOps Familiarity with monitoring tools and logging frameworks Catch this opportunity and invest in your skills development, should your profile meet these requirements. Additional attributes: A proactive mindset with a focus on operationalizing AI/ML solutions to drive business value Experience with budget oversight and cost optimization in cloud environments. Knowledge of agile methodologies and software development lifecycle (SDLC). Strong problem-solving skills and attention to detail Work Experience: 3-5 years of experience in MLOps Minimum Education: Advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Engineering, or a related field. What’s next? Once receiving your application, our Talent Acquisition professionals will screen and match your profile against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application. We invite you to get to know more about our company by visiting and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates. Show more Show less

Job Description Senior Specialist, 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. 3–5 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. 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 07/3/2025 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 Show more Show less

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education BE/B.Tech in IT or Computer Master Diploma - Business Administration in Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey, like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc, using various data sources Experience using various patient-level data like APLD, LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Position Summary To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Statistics Work Experience Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting Effectively communicate with onshore/ client (as per business needs) Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

What You’ll Do "We are seeking a highly skilled and experienced Senior Power BI Specialist to join our team. The ideal candidate will be responsible for designing, developing, and maintaining business intelligence solutions using Microsoft Power BI. This role requires a deep understanding of data modeling, data visualization, and advanced analytics to provide actionable insights and support data-driven decision-making." " Collaborate with stakeholders to gather and analyze business requirements and translate them into technical specifications. Create wireframes, mockups, and interactive prototypes using Figma to visualize Power BI dashboard designs. Design and develop complex data models to support dynamic and scalable reporting solutions. Create and maintain data models, including data extraction, transformation, and loading (ETL) processes. Design and develop Power BI reports and dashboards to meet business requirements. Develop and implement advanced analytics solutions, including predictive analytics and machine learning models. Assess and plan the capacity requirements to ensure optimal performance and resource utilization Regularly monitor capacity usage and performance metrics to identify and address potential bottlenecks. Configure and manage workloads within Power BI Premium capacities to balance resource allocation effectively Utilize the Power BI Premium Capacity Metrics app to monitor and interpret capacity metric Diagnose and resolve capacity-related issues to maintain high availability and performance Ensure data accuracy, integrity, and security in all Power BI solutions. Provide training and support to end-users on Power BI tools and best practices. Stay up to date with the latest Power BI features and industry trends to continuously improve BI solutions." Qualifications " Bachelor’s degree in computer science, Information Technology, or a related field. Minimum of 7 years of experience in business intelligence and data analytics, with at least 3 years of hands-on experience with Power BI. Skills " Experience with Figma, Power Apps, Dataiku. Experience with multiple visualization tools like QlikView, Tableau. Experience working in agile environment using tools like Jira. Knowledge of Snowflake, Azure Data Services, including Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Certification in Microsoft Power BI or related technologies." Strong proficiency in DAX (Data Analysis Expressions) and M language for Power Query. Experience with SQL and relational databases. Knowledge of data warehousing concepts and ETL processes. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills to work effectively with stakeholders at all levels. Ability to work independently and as part of a team in a fast-paced environment." ]]> Show more Show less

POSITION / TITLE: Data Science Lead Location: Offshore – Hyderabad/Bangalore/Pune Who are we looking for? Looking for individuals with 6+ years of experience implementing and managing Data science projects . Working knowledge of Machine and Deep learning based client projects, MVPs, and POCs. Should have expert level experience with machine learning frameworks like scikit-learn, tensorflow, keras and deeplearning architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc. and have a working knowledge of SQL and no-SQL databases and microservices. Should be adapt at Python Scripting. Experience on NLP and Text Analytics is preferred Responsibilities Technical Skills – Must have:  Knowledge of Natural Language Processing(NLP)techniques and frameworks like Spacy, NLTK, etc. and good knowledge of Text Analytics  Should have strong understanding & hands on experience with machine learning frameworks like scikit-learn, tensorflow, keras and deep learning architectures like RNNs and LSTM , BERT  Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases.  Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles  Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization  Strong understanding of evaluation and monitoring metrics for machine learning projects  Strong understanding of containerization using docker and Kubernetes to get the models into production  Ability to Translate complex machine learning problem statements into specific deliverables and requirements  Adept at Python Scripting Technical Skills – Good To Have  Knowledge of distributed computing frameworks and cloud ML frameworks including AWS.  Experience in natural language processing, computer vision, or deep learning.  Certifications or courses in data science, analytics, or related fields.  Should exhibit diligence and meticulousness in working with data Other Skills We'd Appreciate  4+ years of experience in the Data Science and Machine Learning techniques  Proven track record of getting ML models into production  Hands-on experience with writing ML models with Python.  Prior experience in ML platforms and tools such as Dataiku, DataBricks, etc. would be a plus Education Qualification  Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred). Process Skills  General SDLC processes  Understanding of utilizing Agile and Scrum software development methodologies  Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills  Good Attitude and Quick learner.  Well-developed design, analytical & problem-solving skills  Strong oral and written communication skills  Excellent team player, able to work with virtual teams.  Self-motivated and capable of working independently with minimal management supervision. Certification  Having Machine Learning or AI certifications would be an added advantage. Show more Show less

Job Description Manager, Data Visualization 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. 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 the 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: A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats As a Manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What will you do in this role: Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. 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 visualization best practices & technologies by reviewing external resources & marketplace. What Should you have: 5 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) 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 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: Remote Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills: Job Posting End Date: 07/9/2025 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: R329043

About Us With Citi’s Analytics & Information Management (AIM) group, you will do meaningful work from Day 1. Our collaborative and respectful culture lets people grow and make a difference in one of the world’s leading Financial Services Organizations. The purpose of the group is to enable building Citi’s data assets and to analyze information and create actionable intelligence for our business leaders. We value what makes you unique so that you have opportunity to shine. You also get the opportunity to work with the best minds and top leaders in the analytics space. Position We are hiring for the position of Officer – Data Management/Information Analyst in Wealth Data Strategy with technical expertise, based in Chennai, India. In this role, you will be a key individual contributor, responsible for bridging the gap between business needs and technical solutions, working closely with stakeholders, product owners and development team to ensure platform development meets business objectives and requirements. You will be an SME in the group supporting one of our key wealth platform developments team analyzing the data and improvements in platform features and performance. Key Responsibilities Requirement Gathering. Engage with stakeholders to identify, gather and document requirements for framework, pipelining solutions and translate business requirements to detailed technical specifications that can be understood and acted upon by development teams. Technical Solutions Mapping. Collaborate with tech team to map business processes that will be supported by framework and pipelines. Work with cross-functional teams to design end to end technical solutions that optimize business workflows and ensure seamless integration. Technology Partnership. Work closely with technology teams to identify opportunities for automation, process improvement, and system optimization. Stakeholder Communication & Collaboration. Serve as the liaison between business stakeholders, product owners, and the tech teams. Facilitate regular meetings and manage stakeholder expectations by delivering clear, concise, and timely updates on development progress, risks, and issues. Process & Controls Orientation. Develop strong processes, and indestructible controls to address risk and seek to propagate that culture to become the core value of the team. Agile Project Management. Work with product owners to prioritize features and improvements based on business impact and technical feasibility. Use Agile methodologies (Scrum/Kanban) to facilitate the development process, ensuring efficient execution of tasks within sprints Quality Assurance. Support the creation and execution of test cases, focusing on validating technical solutions against business requirements. Ensure that the tools, frameworks, and pipelines are thoroughly tested for performance, security, and business continuity. Documentation & Reporting : Create detailed documentation of requirements, processes, and system interactions for technical solutions and frameworks. Prepare reports and presentations that provide insights and recommendations for stakeholders regarding system performance, business continuity, and pipeline optimization. Continuous Improvement . Continuously assess existing tools, frameworks to identify opportunities for optimization and automation. Provide recommendations to enhance the scalability, resilience, and efficiency of the solutions being developed. Mentorship and Knowledge Sharing. Provide technical mentorship to junior team members, sharing your expertise in data engineering and business technology collaboration. Key Qualifications Education: Bachelor’s degree in computer science, Information Technology, Business Administration, or a related field. Experience: Minimum of 6+ years of experience in business analysis, preferably in a tech-focused role with exposure to frameworks, SRE, and data pipelining. Technical Knowledge: Proficient in PySpark and Python and ability to understand and leverage data engineering principles. Familiarity with cloud platforms with expertise in Snowflake for data storage, retrieval and querying and business intelligence initiatives. D ata Visualization and Reporting: Proficiency in visualizing data using tools like Tableau, Dataiku or similar with strong understanding of ETL processes from Snowflake or other data bases. Desired Skills: Ability to translate complex technical information into business-friendly language. Strong analytical and problem-solving skills. Excellent communication and management skills : Ability to manage multiple tasks and competing priorities in a fast-paced environment. Experience with automation tools and cloud-native technologies is a plus. Mentorship & Leadership: Proven ability to mentor and develop team members while successfully managing and delivering complex projects with measurable impact. Banking Industry: Prior experience in the banking or financial sector is a plus, or a keen interest in exploring this domain. Additional Information: This role offers the opportunity to work on innovative projects within a dynamic technical environment. Citi values diversity and inclusion, and we encourage individuals from diverse backgrounds to apply. - Job Family Group: Decision Management - Job Family: Data/Information Management - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description Manager, Data Visualization 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. 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 the 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 A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats As a Manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What Will You Do In This Role Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. 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 visualization best practices & technologies by reviewing external resources & marketplace. What Should You Have 5 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) 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 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 Remote Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills Job Posting End Date 07/9/2025 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 R329043 Show more Show less

Data Analyst A Business Analyst in the Financial Crime Surveillance Operations (FCSO) Data & Reporting PO Team understands the core concepts, principles, processes or procedures of Data & MI. Experienced in using MSTR reports & Dataiku. The FCSO Business Analyst gathers requirements from various stakeholders and creates user stories for the squad to understand and take it for delivery. They must have strong analytical skills, understand the strategic framework & make sense of data. Core Business Analysis Skills Requirement Gathering Documentation Gap analysis 2. Data & MI Expertise Data Analysis Data mapping & Metrics understanding FCSO Process knowledge (Good to have)\ 3. Technical Skills Query Databases Familiarity with BI Tools like Dataiku, MSTR 4. Agile & Scrum Understanding of Scrum for collaborating with Squads User Story Creation Backlog Management Stakeholder Management 5.Soft Skills Problem Solving Skills & Analytical thinking to trouble shoot data issue and propose solutions Communication Negotiation Quick learner

Do you want to make a global impact on patient health? Join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Data Science Industrialization team leads engineering efforts to advance AI and data science applications from POCs and prototypes to full production. As a Senior Manager, AI and Analytics Data Engineer, you will be part of a global team responsible for designing, developing, and implementing robust data layers that support data scientists and key advanced analytics/AI/ML business solutions. You will partner with cross-functional data scientists and Digital leaders to ensure efficient and reliable data flow across the organization. You will lead development of data solutions to support our data science community and drive data-centric decision-making. Join our diverse team in making an impact on patient health through the application of cutting-edge technology and collaboration. Role Responsibilities Lead development of data engineering processes to support data scientists and analytics/AI solutions, ensuring data quality, reliability, and efficiency As a data engineering tech lead, enforce best practices, standards, and documentation to ensure consistency and scalability, and facilitate related trainings Provide strategic and technical input on the AI ecosystem including platform evolution, vendor scan, and new capability development Act as a subject matter expert for data engineering on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support for data engineering needs Train and guide junior developers on concepts such as data modeling, database architecture, data pipeline management, data ops and automation, tools, and best practices Stay updated with the latest advancements in data engineering technologies and tools and evaluate their applicability for improving our data engineering capabilities Direct data engineering research to advance design and development capabilities Collaborate with stakeholders to understand data requirements and address them with data solutions Partner with the AIDA Data and Platforms teams to enforce best practices for data engineering and data solutions Demonstrate a proactive approach to identifying and resolving potential system issues. Communicate the value of reusable data components to end-user functions (e.g., Commercial, Research and Development, and Global Supply) and promote innovative, scalable data engineering approaches to accelerate data science and AI work Basic Qualifications Bachelor's degree in computer science, information technology, software engineering, or a related field (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline). 7+ years of hands-on experience in working with SQL, Python, object-oriented scripting languages (e.g. Java, C++, etc..) in building data pipelines and processes. Proficiency in SQL programming, including the ability to create and debug stored procedures, functions, and views. Recognized by peers as an expert in data engineering with deep expertise in data modeling, data governance, and data pipeline management principles In-depth knowledge of modern data engineering frameworks and tools such as Snowflake, Redshift, Spark, Airflow, Hadoop, Kafka, and related technologies Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.) Familiarity with machine learning and AI technologies and their integration with data engineering pipelines Demonstrated experience interfacing with internal and external teams to develop innovative data solutions Strong understanding of Software Development Life Cycle (SDLC) and data science development lifecycle (CRISP) Highly self-motivated to deliver both independently and with strong team collaboration Ability to creatively take on new challenges and work outside comfort zone. Strong English communication skills (written & verbal) Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline (preferred, but not required) Experience in software/product engineering Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes. Experience working effectively in a distributed remote team environment Hands on experience working in Agile teams, processes, and practices Expertise in cloud platforms such as AWS, Azure or GCP. Proficiency in using version control systems like Git. Pharma & Life Science commercial functional knowledge Pharma & Life Science commercial data literacy Ability to work non-traditional work hours interacting with global teams spanning across the different regions (e.g.: North America, Europe, Asia) Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

Why Patients Need You The Revenue Management (RM) Digital Solutions team manages technology strategy and delivery for the Pfizer’s Commercial Business Units, the Global Access and Value (GAV) organization and Pfizer Commercial Finance teams. The team plays a critical role in ensuring Patients can easily access Pfizer’s breakthrough medicines through contracting opportunities with Payer and Providers. What You Will Achieve This role will be responsible to configure, maintain and enhance strategic technology platforms and related reporting dashboards that support market access pre-deal analytics, post-deal analytics and broader performance reporting. These web-based tools are used by Market Access Strategy, Pricing and Analytics (MASPA) teams that are responsible for payer and provider contract analytics. The candidate will be accountable for finding the most effective ways for technology to support Pfizer’s business objectives in these domains and optimize the return on all technology investments. The ideal candidate would be someone with strong technical skill on Data management tools, Data Architecture, data profiling/quality tools, AWS services, Tableau, Snowflake, Informatica Cloud Services, Dataiku AI/ML tools. This role will work closely with functional and technical leads and become a subject matter expert with solutions to identify, develop, and deploy processes and reporting. The role will lead Deal Analytics data integration, create analytic solutions, and utilize data prep and visualization platforms. How You Will Achieve It Evaluates and implements solutions to meet business requirements, ensuring consistent usage and adherence to data management best practices. Collaborates with product owners to prioritize features and manage technical requirements based on business needs, new technologies, and known issues. Develops application design and documentation for leadership teams. Assists in defining the vision for the shared data model, including sourcing, transformation, and loading approaches. Manages daily operations of the team, ensuring on-time delivery of milestones. Accountable for end-to-end delivery of program outcomes within budget, aligning with relevant business units. Fosters collaboration with internal and external stakeholders, including software vendors and data providers. Works independently with minimal supervision, capable of making recommendations. You will have the opportunity to: Demonstrate a solid ability to tell a story with simplistic views of complex datasets. Deliver data reliability, efficiency, and best-in-class data governance, ensuring security and compliance. Will be an integral part of developing best-in-class solution for the GAV organization. Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools. Work in close collaboration with business teams throughout MASPA (Market Access Strategy Pricing and Analytics) to determine tool functionality/configuration and data requirements to ensure that the analytic capability is supporting the most current business needs. Partner with the Digital Client Partners to align on priorities, processes and governance and ensure experimentation to activate innovation and pipeline value. Qualifications Must-Have Bachelor’s degree in computer science, Software Engineering, or engineering related area. 5+ years of relevant experience emphasizing data modeling, development, or systems engineering. 1+ years with a data visualization tool (e.g. Tableau, Power BI). 2+ Years of experience in any number of the following tools, languages, and databases: (e.g. MySQL, SQL, Aurora DB, Redshift, Snowflake). Demonstrated capabilities in integrating and analyzing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns. Demonstrated expertise and capabilities in matrixed, cross-functional teams and influencing without authority. Proven experience and demonstrated skills with AWS services, Tableau, Airflow,Python and Dataiku. Must be experienced in DevSecOps tools JIRA, GitHub. Experience in Database design tools. Deep knowledge of Agile methodologies and SDLC processes. Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization. Strong analytical, critical thinking, and troubleshooting skills. Ambition to learn and utilize emerging technologies while working in a stimulating team environment. Nice-to-Have Advanced degree in Computer Engineering, Computer Science, Information Systems or related discipline. Knowledge with GenAI and LLMs framework (OpenAI, AWS). US Market Access functional knowledge and data literacy. Statistical analysis to understand and improve possible limitations in models. Experience in AI/ML frameworks. Pytest and CI/CD tools. Experience in UI/UX design. Experience in solution architecture & product engineering. Organizational Relationships Global Access and Value Organization Market Access Strategy, Pricing and Analytics Channel Management, Contract Operations Trade Operations Government Pricing Managed Markets Finance Vaccines Business Unit Leadership Commercial Leaders for newly launched brands AIDA Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

5 - 7 Years 1 Opening Kochi, Trivandrum Role description Job Title: Lead ML-Ops Engineer – GenAI & Scalable ML Systems Location: Any UST Job Type: Full-Time Experience Level: Senior / Lead Role Overview: We are seeking a Lead ML-Ops Engineer to spearhead the end-to-end operationalization of machine learning and Generative AI models across our platforms. You will play a pivotal role in building robust, scalable ML pipelines, embedding responsible AI governance, and integrating innovative GenAI techniques—such as Retrieval-Augmented Generation (RAG) and LLM-based applications —into real-world systems. You will collaborate with cross-functional teams of data scientists, data engineers, product managers, and business stakeholders to ensure AI solutions are production-ready, resilient, and aligned with strategic business goals. A strong background in Dataiku or similar platforms is highly preferred. Key Responsibilities: Model Development & Deployment Design, implement, and manage scalable ML pipelines using CI/CD practices. Operationalize ML and GenAI models, ensuring high availability, observability, and reliability. Automate data and model validation, versioning, and monitoring processes. Technical Leadership & Mentorship Act as a thought leader and mentor to junior engineers and data scientists on ML-Ops best practices. Define architecture standards and promote engineering excellence across ML-Ops workflows. Innovation & Generative AI Strategy Lead the integration of GenAI capabilities such as RAG and large language models (LLMs) into applications. Identify opportunities to drive business impact through cutting-edge AI technologies and frameworks. Governance & Compliance Implement governance frameworks for model explainability, bias detection, reproducibility, and auditability. Ensure compliance with data privacy, security, and regulatory standards in all ML/AI solutions. Must-Have Skills: 5+ years of experience in ML-Ops, Data Engineering, or Machine Learning. Proficiency in Python, Docker, Kubernetes, and cloud services (AWS/GCP/Azure). Hands-on experience with CI/CD tools (e.g., GitHub Actions, Jenkins, MLflow, or Kubeflow). Deep knowledge of ML pipeline orchestration, model lifecycle management, and monitoring tools. Experience with LLM frameworks (e.g., LangChain, HuggingFace Transformers) and GenAI use cases like RAG. Strong understanding of responsible AI and MLOps governance best practices. Proven ability to work cross-functionally and lead technical discussions. Good-to-Have Skills: Experience with Dataiku DSS or similar platforms (e.g., DataRobot, H2O.ai). Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) for GenAI retrieval tasks. Exposure to tools like Apache Airflow, Argo Workflows, or Prefect for orchestration. Understanding of ML evaluation metrics in a production context (drift detection, data integrity checks). Experience in mentoring, technical leadership, or project ownership roles. Why Join Us? Be at the forefront of AI innovation and shape how cutting-edge technologies drive business transformation. Join a collaborative, forward-thinking team with a strong emphasis on impact, ownership, and learning. Competitive compensation, remote flexibility, and opportunities for career advancement. Skills Artificial Intelligence,Python,ML-OPS About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

About BNP Paribas India Solutions Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions. About BNP Paribas Group BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialized businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporate and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability Commitment to Diversity and Inclusion At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in. About Business Line/Function BNP Paribas IT teams are providing infrastructure, development and production support services to all applications used worldwide by all business lines. There is a great variety of technologies and infrastructures from legacy systems to cutting edge Cloud technologies. Within BNP Paribas Group IT, teams are organized in several divisions called “APS” which are each responsible for a business line. French Retail Banking Personal Finance Payments Group Functions. The current position is to be filled within Real Estate APS team. CTO Personal Real Estate is responsible of the Production for Real Estate, either Application Production, Infrastructure and/or Production Security. The organization relies on Producers (ITG, BP2I, CIB ITO, Local Producer) for Infrastructure services and platforms. The CTO manages Application Production for Real Estate Manage Production environment for applications, guaranteeing quality & stability for Business, relying on Data. Frame & run conditions to consume infrastructure services for applications in a secured mode. Advice Métiers to adopt proper technologies means regards to business application needs Job Title ITOPS / Automation & Tooling Engineer Date Jan, 2025 Department ISPL ITGP Location: Chennai/Bangalore Business Line / Function RE APS Reports To (Direct) ISPL ITGP RE APS Lead Grade (if applicable) (Functional) NA Number Of Direct Reports Directorship / Registration: NA Position Purpose The ISPL RE APS Automation & Tooling team is being built to set-up a Real Estate APS Center of excellence in synergy with teams in France & other international sites of Real Estate APS. Leveraging BNP Paribas Paris team’s expertise and ISPL IT skills, to deliver automated and standardized solutions. The APS Automation & Tooling team is meant to provide a set of added value, Industrialized solution and services contributing to major IT transformations including infrastructure obsolescence management, modernization of our tools & technologies, automation of our operations and definition of referential guidelines. The Production Engineer – Automation and tooling will be primarily responsible for ensuring the setup and maintenance of automation and reporting models, while contributing to project and programs linked to the RE APS. This team will actively co-ordinate & lead together with France team on different transformation levers of Real Estate Production. To meet these challenges, the APS team will be using BNP Paribas procedures and processes defined by Paris teams or jointly defined with ISPL teams. A strong relationship is also to be built between the RE APS team and dedicated business lines’ teams. The team’s scope will be expanded in the future beyond the first set of described activities depending on business applications needs and the overall BNP Paribas IT organisation. Responsibilities Direct Responsibilities The Production engineer Automation & tooling duties are as follows, as a whole or in part Ansible development Continuous deployment tool & support Certificates Renewal Service now automation Monitoring and alerting setup Develop and maintain dashboards and reporting. Ensuring descriptive modelling Ensuring knowledge sharing Ensuring quality and security Contributing Responsibilities Contribute to the knowledge transfer with Paris APS teams. Contribute to the definition of procedures and processes necessary for the team. Help build team spirit and integrate into BNP Paribas culture. Contribute to the regular activity reporting and KPI calculation. Contribute to continuous improvement actions. Contribute to the acquisition by ISPL team of new skills & knowledge to expand its scope. Contributing to continuous process improvement Contributing to user training and information Contribute to projects and programs Technical & Behavioral Competencies Strong Knowledge of ITIL Strong knowledge IT infrastructure Knowledge of ansible Knowledge on Production tools like Dynatrace, Elastic Search, Autosys. Strong knowledge of Data visualization tools (Tableau) Knowledge of Scripting and automatization workflows Strong knowledge of data processing (Dataiku) Knowledge of Data Lab environment - Test & learn methodologies Methodologies Test AB Experience on control methodology Good written and spoken English. Measure and identify areas for improving Quality and overall Delivery. Able to communicate efficiently. Good Team Player Knowledge of service Now development Skills Referential Specific Qualifications (if required) Behavioural Skills: (Please select up to 4 skills) Ability to collaborate / Teamwork Ability to deliver / Results driven Communication skills - oral & written Attention to detail / rigor Transversal Skills: (Please select up to 5 skills) Ability to develop and adapt a process Analytical Ability Ability to set up relevant performance indicators Ability to understand, explain and support change Ability to manage / facilitate a meeting, seminar, committee, training… Education Level Master Degree or equivalent Experience Level At least 3 years Show more Show less