387 Dataiku Jobs - Page 6

We are looking for a Junior Writer & Researcher to join our team who loves to explore ideas, delve into deep research, and collaborate to create impactful short-form content. As part of our team, you'll work across three dynamic channels, helping shape and script compelling narratives. Your Typical JD Checklist Experience: 1 to 2 years in any creative industry Reporting To: Director, Matar Media About the Role Are you a curious thinker who can also get things done? We're looking for a Junior Writer + Researcher who thrives in creative chaos, reads voraciously, and is excited to shape ideas into tight, insightful scripts. If youre passionate about content that makes an impact, wed love to meet you. What Will Your Day-to-Day Work Look Like Collaborate with the Senior Writer + Researcher on channel content direction Research approved video topics and develop detailed treatment notes Write scripts for short-form videos from start to finish Own and manage the pre-production process in line with the script Work closely with the post-production team to preserve narrative integrity Present new content ideas and strategies to the Head of Content Conduct deep-dive structured research across topics with the content team Deliver both short-form and long-form scripts for the channel You Are the Perfect Fit If: You must be a reader non-fiction, research papers, or anything that deepens your thinking Youre passionate about thoughtful, impactful content (not just UGC or trending reels) Youre a collaborative team player with a strong sense of initiative You see this as more than a job storytelling energizes you You work well under constraints and push for better-than-good Youre organized, with strong research and tabulation skills Youre proficient in scriptwriting and short-form narrative structure Youre comfortable writing treatment notes and breakdowns Familiarity with AI tools is a plus Soft Skills Clear and confident communication Prioritization in a fast-paced, deadline-driven environment Accountability and ownership of your deliverables What More Will You Get? A bandwagon of people who will always back you visit our office to find out Creative freedom to explore bold and whacky ideas We respect your time no hustle culture, just meaningful work

Summary Position Summary About Deloitte Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the “Deloitte” name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms. USI Assistant Manager, Data Scientist- Strategic Analytics –Data Science Are you ready to apply your financial and analytical skills in a dynamic environment? Are you looking for an exciting opportunity to be a strategic business advisor to executive leaders? If so, Deloitte could be the place for you! Join our team of experienced financial professionals who support financial planning and analysis for Strategic Analytics in a fast-paced business climate. If you are seeking a role that offers you the opportunity to develop personally and professionally, consider a career with the Data Science team within Strategic Analytics at Deloitte. The team and the role The Financial Planning & Analysis (FP&A) organization supports our business, market and enabling area leaders by providing world class financial support. FP&A is made up of advisors who are influential in decision-making and partner with finance leaders to drive meaningful strategic and financial outcomes. Within FP&A, the Strategic Analytics (SA) team integrates big data analytics, strategic thinking, and deep firm knowledge to provide leadership with insights to drive informed decision-making and enable continued growth. The team partners with business and operational leaders to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis. Specific responsibilities and qualifications for the USI Data Scientist role are outlined below. Work you’ll do Core Responsibilities Support large scale, data science projects that support key strategic priorities Support the development of first-class tools and insights for leadership by identifying key indicators of economic shifts, identifying business and/or policy changes, and preparing situational playbooks Support the automation and streamlining of projects by using advanced analytic techniques Understand fundamental procedures and processing to optimize data interactions and drive insights Facilitate storyboarding by performing data-driven analysis to inform prospective recommendations Work with cross-functional teams, including Deloitte’s businesses and Enabling Areas, to support key business functions Provide ad-hoc specialized analyses and support for leadership meetings Other Responsibilities Support Lead Data Scientist by maintaining project plans and milestones Lay out the elements of a story using logical structuring and assist in developing presentation content Build supporting materials that assist leaders and stakeholders in the decision-making process Support leaders in strategic activities and engage in stretch opportunities aligned with professional development goals and strengths Qualifications Required: Bachelor’s degree in Finance, Accounting, Computer Science or related subject Minimum of 6+ years of relevant experience Demonstrated accomplishments in the following areas: ― Financial reporting and analysis ― Data analysis, management, and visualization About Deloitte Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the “Deloitte” name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms. ― Machine learning algorithms (e.g., clustering, logistic regression) ― Artificial intelligence software (e.g., Dataiku, DataRobot) ― Advanced in MS Office (Excel, PowerPoint, Outlook, Teams) ― Advanced understanding of data science and visualization tools (Python, R, SQL) Preferred: Advanced education degree a plus Experience in a professional services firm is a plus Proficiency in Tableau Location: Hyderabad Shift timing: 2pm to 11pm How You’ll Grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Center. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. Recruiter tips We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you are applying to. Check out recruiting tips from Deloitte professionals. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300329

Job Description Primary Responsibilities - Define and drive the long-term product vision, strategy, design and roadmap, aligning with business goals and user needs. Define and monitor Product Success metrics and criteria at incremental product development phases, and product adoption. Analyze customer feedback, query logs, and market trends to identify opportunities for product innovation and enhancement, delivering high impact solutions. Translate business requirements into technical solutions, ensuring scalability, reliability, and maintainability of products. Lead 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 the strategy, progress, and updates to senior leadership, partners, key stakeholder, ensuring alignment and transparency . Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams. Lead creation of benchmark techniques being deployed across multiple product development strategies. Provide technical guidance and mentorship to junior members. 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 8+ years relevant experience Master’s degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 6+ years work experience 4+ 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 Leadership, problem solving, critical thinking, and quantitative skills Story Boarding - Ability to effectively communicate proposals to key stakeholders Must have good 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. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills 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 08/1/2025 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 R335758

Job ID: 33561 Location: Bangalore, IN Area of interest: Audit, Accounting & Finance Job type: Fixed Term Worker Work style: Office Working Opening date: 7 Jul 2025 Job Summary Our Data Analysts use data to build the best customer experiences and love helping to make better business decisions, by using diverse sets of data. We’re looking for brilliant minds who find meaning in structured and unstructured data, with business domain expertise to translate commercial goals into data-based deliverables to solve the world’s most complex challenges. About our Digital Channels & Data Analytics (DCDA) team They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They’re responsible for being an expert in digital products and services and partner with our sales and coverage teams. About Corporate & Investment Banking (CIB) For more than 170 years we’ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world’s fastest-growing economies and most active trade corridors. Key Responsibilities Support the development and execution of our data analytics strategy and roadmap. Develop and deploy analytical models to produce analytical solutions and provide insights that support business decisions, including coalition data viewer and expand data viewer. Translate business challenges into statistical problems and data analysis. Use data analysis techniques including trend analysis, regression analysis and the Monte Carlo simulation. Use analytical tools including Azure, Python and SQL to analyse datasets to gain key actionable insights to resolve business problems. Present key findings, insights and business recommendations to stakeholders using data storyboarding and visualisation techniques. Promote analytics-driven decision-making processes across our business to drive awareness of data led decision making and business opportunities. Build and automate data visualisation dashboards using tools such as Tableau and Power BI to enable stakeholder self-service. Partner with stakeholders to identify and optimise analytical tools including Dataiku, Python and Azure. Skills and Experience Statistical analysis. Agile project management. Big data management and analytics. Data monetisation. Financial mathematics. Business acumen entry. Emerging technologies. Client experience, behaviours and preferences. Financial services regulatory experience. Data governance and management. Qualifications About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. JOB LOCATION: Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, Noida Job Description Building the machine learning production System(or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients. Responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You’ll help automate and streamline Model development and Model operations. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS Work across all phases of Model development life cycle to build MLOPS components Build the knowledge base required to deliver increasingly complex MLOPS projects on the Cloud(AWS, Azure, GCP)/On Prem Be an integral part of client business development and delivery engagements across multiple domains. QUALIFICATIONS: REQUIRED QUALIFICATIONS: 3-5 years experience building production-quality software Strong experience in System Integration, Application Development or DataWarehouse projects across technologies used in the enterprise space Basic Knowledge of MLOps, machine learning and docker Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) Experience developing CI/CD components for production ready ML pipeline. Database programming using any flavors of SQL Knowledge of Git for Source code management Ability to collaborate effectively with highly technical resources in a fast-paced environment Ability to solve complex challenges/problems and rapidly deliver innovative solutions Team handling, problem solving, project management and communication skills & creative thinking Foundational Knowledge of Cloud Computing either one AWS, Azure or GCP Hunger and passion for learning new skills Education B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Area(s) of responsibility Job Title: Dataiku Developer Location: Pune/Mumbai/Chennai/Hyd/Bangalore/Noida Working Shift – Japan/Singapore time ( 7 AM IST to 4 PM IST) About The Role We are seeking a skilled Dataiku Developer to join our data science workbench program team. The ideal candidate will design, develop, and deploy scalable data pipelines and advanced analytics and AI/ML solutions using the Dataiku platform. You will work closely with data scientists, engineers, and business stakeholders to enable data-driven decision-making. Key Responsibilities Design, develop, extend and maintain end-to-end data workflows and pipelines in Dataiku DSS. Collaborate with data scientists and analysts to operationalize machine learning models. Leverage Generative AI models and tools within Dataiku to build advanced AI-powered applications and analytics solutions. Integrate Dataiku with various data sources (databases, cloud storage, APIs). Develop and optimize SQL queries and Python/R scripts for data extraction and transformation across relational and NoSQL databases Work extensively with cloud data warehouses like Amazon Redshift and/or Snowflake for data ingestion, transformation, and analytics. Implement automation and scheduling of data workflows. Monitor and troubleshoot data pipelines to ensure data quality and reliability. Document technical solutions and best practices for data processing and analytics. Required Skills And Qualifications Proven experience of 4+ years working with Dataiku Data Science Studio (DSS) in a professional environment. Strong knowledge of data engineering concepts, ETL/ELT processes. Proficiency in Python and/or R for data manipulation and automation. Solid SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle) Familiarity with cloud platforms (AWS or optionally Azure/GCP) and data storage technologies. Understanding of machine learning lifecycle and model deployment. Experience with REST APIs and integration tools. Strong analytical, problem-solving, and communication skills. Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. Preferred Qualifications Experience with big data technologies like Hadoop, Spark, or Kafka and databases like Redshift, Snowflake or AWS S3. Knowledge of containerization and orchestration (Docker, Kubernetes). Experience with CI/CD pipelines for data projects. Prior experience in agile development methodologies.

This role is a senior role at Senior Manager level within the organization with direct people managerial responsibilities. The role is expected to demonstrate a very strong leadership in driving initiatives and drive actions in close collaboration with cross functional teams with Digital and Cross functional teams within GLNS & beyond to Analytics day-to-day activities and strategic roadmap initiatives. The key focus area for this role is to centralize all Analytics work across GLNS into the same team and GLNS Analytics should be controlling all the Analytics related work. The role is responsible for leading all analytical projects / priorities supporting Global Logistics & Network Services, able to delivery accurate reporting to support business and ensure Zero Defects in Data Quality. The role is expected to manage a strong team of Associates & Sr. Associates in the space of analytics. Team Management – Recruitment onboarding, coaching, mentoring, grooming talent are the very crucial aspects on this role. The role is also responsible to manage data & analytics for every shipment is being capture in Integrate Platform Services. Provide leadership in driving advance analytics roadmap. Validating various data models to provide value added KPI’s to ensure faster delivery of products to patients. The scope of the role is ‘end to end’ data management from forwarders, plants through international logistics centers to the commercial markets/3rd party customers in distributor markets. Data Accuracy, Data confidence and Data Stewardship are key strategic deliverables on this role. The role will require effective communication, strong cross functional team management in a matrix set-up along with Analytics team in direct reporting structure. to independently drive and coordinate with colleagues in regional, site and global functional teams and Pfizer’s contracted Global Freight Forwarders. 1. Solution Design, Development and Deployment Leads the development of the logic associated with strong data connections across different environments and deployment of modules to enable Global Logistics Analytics. Drive Execution Platform connectivity and support any opportunities associated with process automation. 2. Business Subject Matter Expert Demonstrate Leadership capabilities to be able to manage the overall Global Logistics Analytics capabilities as a Business Subject Matter Expert in the space of Analytics supporting the stakeholders 3. Communication, Team & Stakeholder Management Interfaces regularly with cross functional teams to support the vision of Analytics roadmap to develop strategy and demonstrate Analytics progress and enablement in line with GLNS Vision Lead a team of Analytics at Associate & Senior associate level and takes end-to-end responsibility of recruiting, coaching, mentoring and grooming talent. Connects Analytics team with all E2E stakeholders (ex. Digital, Supply Chain, GLNS, Plants, AMP Hubs, Markets, Finance, etc.). Drive process and project alignment and standardization 4. Change Management / User Adoption Play pivotal role in adoption journey of newly designed Analytics platforms with cross functional leads within GLNS with greater level of acceptance of the new solutions in line with IMEX Adoption process across global GLNS Locations at different Tiers. 5. Integrated Manufacturing Excellence (IMEX) Instrumental in orchestrating Tier 2 process, standard work across PCTs and ensure robust application of IMEX standards, metrics, and continuous improvement loops. QULIFICATIONS Level of Education Bachelor’s degree with 15-20 years within Digital & Technology environment with in E2E supply chain Strong skills in managing extended and virtual teams, with range of x-functional stakeholders. Experience Hands-on experience in SQL queries and data exploration. Understand relational databases and familiar with Business Intelligence tools (Tableau, Power BI, etc.). Proven analytical skills, including technical skills with Business Intelligence platforms. Has good knowledge of Analytics, Data management, Order management, logistics execution and visualization platforms. Ability to design and develop with deep understanding of technology – SQL, Database Management, Query languages. Excellent in designing Pseudocode using condition, loop, and recursion approaches to drive logic design. Experienced in Python or similar scripting programming languages will be a plus. Problem solving and critical thinking. Highly developed communications skills critical – able to manage at multiple levels in the organization, written and verbal. Hands-on experience in Demand Planning, Supply Planning, Inventory Planning, Logistics operations, Manufacturing at different capacities in roles at Market & regional level in Consumer Health & Pharma environment supporting digital application development would be an added advantage to drive business impact Languages English Computer skills Hands on experience in Tableau (Must), Python (Must), DATAIKU (Must), SQL, Database Management, Query languages Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Logistics & Supply Chain Mgmt #LI-PFE

This role is a senior role at Senior Manager level within the organization with direct people managerial responsibilities. The role is expected to demonstrate a very strong leadership in driving initiatives and drive actions in close collaboration with cross functional teams with Digital and Cross functional teams within GLNS & beyond to Analytics day-to-day activities and strategic roadmap initiatives. The key focus area for this role is to centralize all Analytics work across GLNS into the same team and GLNS Analytics should be controlling all the Analytics related work. The role is responsible for leading all analytical projects / priorities supporting Global Logistics & Network Services, able to delivery accurate reporting to support business and ensure Zero Defects in Data Quality. The role is expected to manage a strong team of Associates & Sr. Associates in the space of analytics. Team Management – Recruitment onboarding, coaching, mentoring, grooming talent are the very crucial aspects on this role. The role is also responsible to manage data & analytics for every shipment is being capture in Integrate Platform Services. Provide leadership in driving advance analytics roadmap. Validating various data models to provide value added KPI’s to ensure faster delivery of products to patients. The scope of the role is ‘end to end’ data management from forwarders, plants through international logistics centers to the commercial markets/3rd party customers in distributor markets. Data Accuracy, Data confidence and Data Stewardship are key strategic deliverables on this role. The role will require effective communication, strong cross functional team management in a matrix set-up along with Analytics team in direct reporting structure. to independently drive and coordinate with colleagues in regional, site and global functional teams and Pfizer’s contracted Global Freight Forwarders. Solution Design, Development and Deployment Leads the development of the logic associated with strong data connections across different environments and deployment of modules to enable Global Logistics Analytics. Drive Execution Platform connectivity and support any opportunities associated with process automation. Business Subject Matter Expert Demonstrate Leadership capabilities to be able to manage the overall Global Logistics Analytics capabilities as a Business Subject Matter Expert in the space of Analytics supporting the stakeholders Communication, Team & Stakeholder Management Interfaces regularly with cross functional teams to support the vision of Analytics roadmap to develop strategy and demonstrate Analytics progress and enablement in line with GLNS Vision Lead a team of Analytics at Associate & Senior associate level and takes end-to-end responsibility of recruiting, coaching, mentoring and grooming talent. Connects Analytics team with all E2E stakeholders (ex. Digital, Supply Chain, GLNS, Plants, AMP Hubs, Markets, Finance, etc.). Drive process and project alignment and standardization Change Management / User Adoption Play pivotal role in adoption journey of newly designed Analytics platforms with cross functional leads within GLNS with greater level of acceptance of the new solutions in line with IMEX Adoption process across global GLNS Locations at different Tiers. Integrated Manufacturing Excellence (IMEX) Instrumental in orchestrating Tier 2 process, standard work across PCTs and ensure robust application of IMEX standards, metrics, and continuous improvement loops. QULIFICATIONS Level of Education Bachelor’s degree with 15-20 years within Digital & Technology environment with in E2E supply chain Strong skills in managing extended and virtual teams, with range of x-functional stakeholders. Experience Hands-on experience in SQL queries and data exploration. Understand relational databases and familiar with Business Intelligence tools (Tableau, Power BI, etc.). Proven analytical skills, including technical skills with Business Intelligence platforms. Has good knowledge of Analytics, Data management, Order management, logistics execution and visualization platforms. Ability to design and develop with deep understanding of technology – SQL, Database Management, Query languages. Excellent in designing Pseudocode using condition, loop, and recursion approaches to drive logic design. Experienced in Python or similar scripting programming languages will be a plus. Problem solving and critical thinking. Highly developed communications skills critical – able to manage at multiple levels in the organization, written and verbal. Hands-on experience in Demand Planning, Supply Planning, Inventory Planning, Logistics operations, Manufacturing at different capacities in roles at Market & regional level in Consumer Health & Pharma environment supporting digital application development would be an added advantage to drive business impact Languages English Computer skills Hands on experience in Tableau (Must), Python (Must), DATAIKU (Must), SQL, Database Management, Query languages Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Logistics & Supply Chain Mgmt

Responsibilities Include > Drive improvement in metric development and measurement across marketing campaigns, events, strategic initiatives, and digital products and platforms > Partner with the Path to Advice team to create opportunities for optimal impact and measurement across various products and service models > Complete ad-hoc analysis across various platform applications and products > Deliver key metrics, reports, and dashboards with insights to various stakeholders across multiple business units > Build data flows and models for studies and reporting > Establish strong working relationships with team members across business units and Wealth Management functions to support alignment of Wealth Management Strategic Initiatives Qualifications Required Skills > Bachelor's Degree in Science/Engineering/Mathematics or related field preferred along with 5+ years of experience in a hands-on data and analytics role > Strong proficiency in SQL, Python, Dataiku (preferred) and expertise in hands-on data analytics and deriving insights, with a high standard of analytical rigor > Highly motivated / self-starter with a sense of ownership, willingness to learn, high degree of curiosity and desire to succeed > Strong attention to detail and the ability to handle multiple tasks and projects concurrently > Strong problem-solving skills creatively, with a strong sense of accountability > Ability to work in a collaborative, transparent style with cross-functional stakeholders across the organization to lead and deliver results 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. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

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. 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 opportunity 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 team owns all the executive reporting, insights, and predictive modeling in support of Wealth Management, Banking, and Firmwide Marketing. The use of analytics and data will be a key driver in accelerating growth across client segments, enabling data-driven decision making and delivering the best client experience. Position Summary We are looking for an experienced professional to join the Analytics & Data organization in our Client Engagement Analytics function. The select will initially focus on Marketing Analytics and Client incentives/promotions; with a successful candidate, there is potential for this team to expand into leadership other areas within the function (WM Field and Client Solutions support). The candidate will lead a team as well as work with data in a hands-on capacity to provide analytics, insights, and business intelligence to power client engagement and drive cross-sell strategy across various Sales and Marketing channels. They will be responsible for owning delivery of key reports to US-based team members, senior management, and stakeholders. The ideal candidate will display a high-level of autonomy, curiosity about data, and the ability to determine timely solutions while also thinking strategically to drive business results. Optimal candidate will also possess leadership qualities and an ability to develop talent and scale support efficiently. Key Responsibilities Key responsibilities will include but will not be limited to the following: > Support US-based Client Engagement Analytics team colleagues with reporting, insights generation, and process optimization/maintenance on Client incentives and Marketing campaign initiatives. Focus areas will be performance measurement through KPI reporting, analytical deep dives, client profile analysis, customer segmentation, and Adhoc strategic requests. > Leverage data across disparate sources/formats to create and maintain new and innovative datasets and solutions while continuing to streamline existing processes to improve efficiency. > Partner with Data Strategy, Infrastructure, and Tech teams to drive continuous improvement in processes and platforms, while establishing self as the SME that they seek input from on new initiatives. > Manage and coach team of 3-4 associates. Experience > Bachelor's degree in science/engineering/mathematics; MBA or oth Required Skills: > Strong proficiency in SQL, Python and expertise in hands-on data analytics and providing insights; experience in defining analytical approaches and applying a range of analytical tools to synthesize insights and develop solutions will be critical > Familiarity with tools/applications like Dataiku, Snowflake, Hue (Hadoop), Salesforce, and Tableau is a plus > Proficiency with Microsoft Office tools (Excel, PowerPoint) > Keen focus on accuracy and analytical rigor as well as attention to detail, given the highly visibility nature of deliverables owned by the team > Track record of working independently and solving problems creatively, as well as the ability to debug/maintain complex codes, with a strong sense of accountability and an eye for innovation > Excellent oral and written communication skills, including the ability to present complex information in a clear and concise manner to audiences of various backgrounds/seniority; 2+ years in a client-facing position preferred > Ability to work in a collaborative, transparent style within the team and with cross-functional stakeholders across the organization Registration Required > None EOE M/F/D/V Committed to Diversity 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. 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.

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. 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 opportunity 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 team owns all the executive reporting, insights, and predictive modeling in support of Wealth Management, Banking, and Firmwide Marketing. The use of analytics and data will be a key driver in accelerating growth across client segments, enabling data-driven decision making and delivering the best client experience. Position Summary We are looking for an experienced professional to join the Analytics & Data organization in our Client Engagement Analytics function, with a focus on Marketing Analytics and client incentives/promotions. The candidate will work with data in a hands-on capacity to provide analytics, insights, and business intelligence to power client engagement and drive cross-sell strategy across various Sales and Marketing channels. They will be responsible for owning delivery of key reports to US-based team members and leadership. The ideal candidate will display a high-level of autonomy, curiosity about data, and the ability to determine timely solutions while also thinking strategically to drive business results. Key Responsibilities Key responsibilities will include but will not be limited to the following: Support US-based Client Engagement Analytics team colleagues with reporting, insights generation, and process optimization/maintenance on client incentives and marketing campaign initiatives. Focus areas will be performance measurement through KPI reporting, analytical deep dives, client profile analysis, customer segmentation, and ad hoc strategic requests Leverage data across disparate sources/formats to create and maintain new and innovative datasets and solutions while continuing to streamline existing processes to improve efficiency. Create comprehensive and consistent reporting and visualization suites to enable and enhance regular reporting and benchmark creation Partner with Data Strategy, Infrastructure, and Tech teams to drive continuous improvement in processes and platforms, while establishing self as the SME that they seek input from on new initiatives Experience Bachelor’s degree in science/engineering/mathematics; MBA or other advanced degree preferred A minimum of 3 years of experience in Data & Analytics (overall 3-5 years), preferably in the financial services industry Required Skills Strong proficiency in SQL, Python and expertise in hands-on data analytics and sourcing data from multiple data platforms Experience with data visualization tools like Tableau, and understanding of the end-to-end set-up of a dashboard as well as automated process setup for regular reporting processes Proficiency with Microsoft Office tools (Excel, PowerPoint) Basic familiarity with tools/applications like Dataiku, Snowflake, Hue (Hadoop), Adobe, and Salesforce is a plus Keen focus on accuracy and analytical rigor as well as attention to detail, given the highly visibility nature of deliverables owned by the team; ability to reproduce previously shared metrics/nos. by organizing codes, processes and creating validation procedures for key projects Track record of working independently and solving problems creatively with a strong sense of accountability and displaying a can-do attitude Strong skills in oral and written communication including experience in effectively and transparently communicating with colleagues and management in a different geographic location Registration Required None EOE M/F/D/V Committed to Diversity 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. 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.

JR0122892 Scientist, Decision Sciences- Pune India Are you ready to join a growing Decision Sciences team in a global company that customers depend on to prevent fraudulent transactions? Do you want to work in a role that has a direct impact on our customer experience? Join Western Union as Scientist, Decision Sciences. Western Union powers your pursuit. The Decision Scientist will be part of the Decision Sciences team responsible for managing fraud losses while optimizing revenue opportunities on online Western Union transactions. In this role you will use your analytical skills to develop and maintain a suite of risk models and rules to ensure our customers, as well as Western Union, are protected against fraud. Role Responsibilities Develop real time and batch risk models to screen online transactions and stop fraudulent ones Document and communicate model results and insights internally Support Senior/Staff Risk Scientists with ad-hoc analysis in response to internal and external requests Continuously track and evaluate the effectiveness of risk models and rules Analyze online transaction activity to identify loss reduction opportunities and devise actionable plans to exploit such opportunities Profile customer behavior to identify opportunities to enhance model/rule performance Role Requirements Preferably Master's degree or Graduate degree in quantitative related field (Statistics, Math, Operations Research, MS, M-tech, B-tech etc) required with proven track record in using advanced quantitative and statistical technique. Minimum bachelor’s degree in quantitative field required. 3+ years of relevant experience. Data analytics related Master thesis or certified coursework projects will add additional value. Strong problem solving and analytical skills Strong communication skills to convey fraud insight Ability to analyze problems and produce justification to enhance fraud decisions. SQL and at-least one of the Python/R programming experience and aptitude to learn on the job. Working knowledge of developing predictive models like logistic regression, decision tree etc and machine learning techniques Intermediate knowledge of Microsoft Excel/Power BI/PPT Exposure to cloud systems like AWS Sagemaker/ Dataiku is preferred We make financial services accessible to humans everywhere. Join us for what’s next. Western Union is positioned to become the world’s most accessible financial services company transforming lives and communities. We’re a diverse and passionate customer-centric team of over 8,000 employees serving 200 countries and territories, reaching customers and receivers around the globe. More than moving money, we design easy-to-use products and services for our digital and physical financial ecosystem that help our customers move forward. Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You’ll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you’re ready to help drive the future of financial services, it’s time for Western Union. Learn more about our purpose and people at https://careers.westernunion.com/. Benefits You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in-class development platforms, to name a few (https://careers.westernunion.com/global-benefits/). Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits during your interview process or in an offer of employment. Your India Specific Benefits Include Employees Provident Fund [EPF] Gratuity Payment Public holidays Annual Leave, Sick leave, Compensatory leave, and Maternity / Paternity leave Annual Health Check up Hospitalization Insurance Coverage (Mediclaim) Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance Cab Facility Relocation Benefit Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, problem-solve together, and innovate. Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week. We are passionate about diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws. Estimated Job Posting End Date 07-07-2025 This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.

We are looking for an experienced professional to join the Analytics & Data organization in our Client Engagement Analytics function, with a focus on Marketing Analytics and client incentives/promotions. The candidate will work with data in a hands-on capacity to provide analytics, insights, and business intelligence to power client engagement and drive cross-sell strategy across various Sales and Marketing channels. They will be responsible for owning delivery of key reports to US-based team members and leadership. The ideal candidate will display a high-level of autonomy, curiosity about data, and the ability to determine timely solutions while also thinking strategically to drive business results. Key Responsibilities Key responsibilities will include but will not be limited to the following: > Support US-based Client Engagement Analytics team colleagues with reporting, insights generation, and process optimization/maintenance on client incentives and marketing campaign initiatives. Focus areas will be performance measurement through KPI reporting, analytical deep dives, client profile analysis, customer segmentation, and ad hoc strategic requests > Leverage data across disparate sources/formats to create and maintain new and innovative datasets and solutions while continuing to streamline existing processes to improve efficiency. Create comprehensive and consistent reporting and visualization suites to enable and enhance regular reporting and benchmark creation > Partner with Data Strategy, Infrastructure, and Tech teams to drive continuous improvement in processes and platforms, while establishing self as the SME that they seek input from on new initiatives Experience > Bachelor's degree in science/engineering/mathematics; MBA or other advanced degree preferred > A minimum of 3 years of experience in Data & Analytics (overall 3-5 years), preferably in the financial services industry Required Skills > Strong proficiency in SQL, Python and expertise in hands-on data analytics and sourcing data from multiple data platforms > Experience with data visualization tools like Tableau, and understanding of the end-to-end set-up of a dashboard as well as automated process setup for regular reporting processes > Proficiency with Microsoft Office tools (Excel, PowerPoint) > Basic familiarity with tools/applications like Dataiku, Snowflake, Hue (Hadoop), Adobe, and Salesforce is a plus > Keen focus on accuracy and analytical rigor as well as attention to detail, given the highly visibility nature of deliverables owned by the team; ability to reproduce previously shared metrics/nos. by organizing codes, processes and creating validation procedures for key projects > Track record of working independently and solving problems creatively with a strong sense of accountability and displaying a can-do attitude > Strong skills in oral and written communication including experience in effectively and transparently communicating with colleagues and management in a different geographic location 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. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Summary -Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. About the Role Key Responsibilities Provide analytics support to Novartis internal customers on various high complexity analytical reports. Working knowledge of multiple datasets e.g. LAAD, Xponent, SMART etc. and managing and organizing data sets from databases to find patterns and trends in data. Transforming these complex and granular data into actionable insights. Putting together specifications to extract/transform data into required formats for different analytical elements using SQL/DSS or other data processing tools. Require experience in quantitative analysis with a demonstrated focus in analytics, and experience with coding languages (SQL OR Python) to query and extract data. Also, experience with BI tools, working with very large data sets is a plus. Create the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional stakeholders. Takes initiative to drive standardization of reports across brands. Essential Requirements : Masters/ bachelor’s in technology/ life-sciences/ management Minimum of 2 + years’ experience processing and analyzing real world patient level data (Claims data/EHR etc.,). Expertise in SQL, DataIKU and/or other data processing tool. Knowledge of Statistical modeling or ML is a plus. Understanding of healthcare terminology and real-world patient level data Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process Desired Requirements : Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance. 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 CTS 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.

Summary -Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. About the Role Job Description Key Responsibility: Solid understanding of multiple datasets (e.g. LAAD, Xponent, DDD) and managing and coordinating data sets from databases to find patterns and trends. Redefining these complex and granular data into actionable insights. Responsible for standard and ad-hoc extracts/reports across multiple primary and secondary data sources. Responsible for tracking ongoing outcomes reports and manage priorities for upcoming reports. Sharing findings with partners with reports and presentations on a timely basis. Putting together specifications to extract/transform data into required formats for different analytical elements using programming languages like SQL or other data processing tools. Build the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional partners. Essential Requirements : Ability to work independently and as an integral member of the team and Attention to detail and quality focused, good interpersonal and communication skills, influence, negotiation and tact skills, innovative, and collaborative behaviors and “can-do” orientation. Curiosity and strong analytical thinking, verbal and written communication skills and exposure to working in multifunctional/cultural environment. Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process. Ability to multi-task, work in a demanding distributed team environment, work under tight deadlines. Develop and maintain strong individual performance. Desirable Requirements : Masters or Bachelor’s in STEM At least 1+ years of experience in data modeling and reporting solutions development and hands-on experience of APLD and US national and subnational datasets and ability to lead teams functionally. Technical abilities: Excel, SQL or Dataiku, and PowerPoint is vital. Knowledge of statistical modeling or ML is a plus. 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 US 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.

Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements Identify and analyze issues, make recommendations, and implement solutions Utilize knowledge of business processes, system processes, and industry standards to solve complex issues Analyze information and make evaluative judgements to recommend solutions and improvements Conduct testing and debugging, utilize script tools, and write basic code for design specifications Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Job Description: The role requires advanced level skills and very good working knowledge in Python and DataIku (Analytics tool). Require very good knowledge in developing DataIku dashboards and reports Utilize knowledge of applications development procedures and concepts and other technical aspects to identify and define requirements to enhance the system Identify and analyze issues, make recommendations, and implement solutions Utilize knowledge of business processes, system processes, and industry standards to solve complex issues Resource should have experience on SDLC Deployment Cycle and Agile Methodology Good conceptual and working knowledge of DEV Ops Tools such as : Jira, Bitbucket, Jenkins etc... Candidate will extend support in release timing during weekend. Also, candidate willing to upskills in new techstack/skills for project need Qualifications: 2+ years of relevant experience as DataIku Developer with strong analytics query writing skills. Profile who has the strong knowledge on Basic/Advanced Python. Require DataIku Analytics tool experience Experience in programming/debugging used in business applications Working knowledge of industry practice and standards Comprehensive knowledge of specific business area for application development Working knowledge of program languages, analytical, logical & problem-solving capabilities Consistently demonstrates clear and concise written and verbal communication Excel/ SQL knowledge would be good to have. - Job Family Group: Technology - Job Family: Applications Development - 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.

Morgan Stanley Model Risk Process Validation Group - Associate Profile Description We’re seeking someone to join our team as a [Associate] to [Model Risk Process Validation Group]. 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. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Position : Data Analyst Power BI & Excel Specialist Location: Hyderabad Experience : 2 - 4 years Tenure : 6 months - extension based on performance Required Skills: 2 - 4 years of hands-on experience in Power BI development. Advanced proficiency in Microsoft Excel (formulas, pivot tables, charts). Experience in creating data-driven PowerPoint presentations. Good to Have: Understanding of the pharmaceutical business domain. Experience in client handling and stakeholder communication. Good to have working knowledge of at least one ETL tool (e.g., DataIKU, Alteryx). Budget- up to 12 LPA Job Summary: We are seeking a highly skilled and detail-oriented Data Analyst with strong expertise in Power BI and Microsoft Excel to join our team. The ideal candidate will be responsible for developing insightful dashboards, managing data workflows, and presenting data-driven insights through compelling presentations. Experience with ETL tools and a good understanding of the pharmaceutical business will be a plus. Key Responsibilities: Design, develop, and maintain interactive Power BI dashboards and reports. Perform advanced data analysis and modelling using Microsoft Excel. Good Knowledge of Power Automate Should have good knowledge of SQL queries building Good to have knowledge of at least one ETL tool to manage data extraction, transformation, and loading processes. Create and deliver high-quality PowerPoint presentations for internal and client-facing data reviews. Collaborate with cross-functional teams to gather requirements and translate them into analytical solutions. Understand client interactions and contribute to project discussions with data insights Interested share cv : busiraju.sindhu@manpower.co.in Whats App : 7013970562

About the Role This is a senior leadership position within Business Information Management Practice. The individual is responsible for the overall vision, strategy, delivery and operations of key accounts in BIM. This requires working closely with global executive team, subject matter experts, solution architects, project managers and client teams to conceptualize, build and operate Big Data Solutions. Communicate with internal management, client sponsors and senior leaders on the project status, risks, solution, etc. Responsibilities Client Delivery Leadership Role Candidate to be responsible for delivering at least $10 M + revenue using information management solution(s): Big Data, Data Warehouse, Data Lake, GEN AI, Master Data Management System, Business Intelligence & Reporting solutions, IT Architecture Consulting, Cloud Platforms (AWS/AZURE), SaaS/PaaS based solutions Practice and Team Leadership Role: Self-Driven for results - Able to take initiative and set priorities; pursue tasks tenaciously & with a need to finish. Able to overcome setbacks which may occur along the way. Customer Focus - Dedicated to meeting the expectations of internal and external clients. Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions. Probes all fruitful sources for answers. Is excellent at honest analysis. Looks beyond the obvious and doesn’t stop at the first answers. Learning on the Fly - Learns quickly when facing new problems. A relentless and versatile learner. Proven ability to handle multiple projects/programs while meeting deadlines and documenting progress towards those deadlines. Excellent communication skills (must be able to interface with both technical and business leaders in the organization). Leadership Skills to Coach, mentor and develop senior and middle level staff. Develop the manager layers to be leaders of the future. Be known as a Thought Leader in a specific aspect of Information Management technology spectrum or Pharma domain. Direct the training & skill enhancement of the team, in line with pipeline opportunities. Ability to lead large RFP responses, design and implement the solution for proposals and customer decks. Assist in generating order pipeline, road shows, develop Go-to-market strategy for regions & verticals. Create market facing collaterals as per requirements. Able to write white paper, blogs, technical/functional point of view. Qualifications MBA in Business Management Bachelor of Computer Science Required Skills Candidate should have 18+ years of prior experience (preferably including at least 5 yrs in Pharma Commercial domain) in delivering customer focused information management solution(s): Big Data, Data Warehouse, Data Lake, Master Data Management System, Business Intelligence & Reporting solutions, IT Architecture Consulting, Cloud Platforms (AWS/AZURE), SaaS/PaaS based solutions. Should have successfully done 4-5 end to end DW implementations using technologies: Big Data, Data Management and BI technologies such as Redshift, Hadoop, ETL tools like Informatica/Matillion/Talend, BI tools like Qlik/MSTR/Tableau, Dataiku/Knime and Cloud Offerings from AWS/Azure. Ability to lead large RFP responses, design and implement the solution for proposals and customer decks. Should have led large teams of at least 100+ resources. Good communication, client facing and leadership skills. Hands on knowledge of databases, SQL, reporting solutions like BI tools or Excel/VBA. Preferred Skills Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Capability Building / Thought Leadership About the Company Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives. Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsMax™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations. With customers in over 75 countries, Axtria is one of the largest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards. Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every associate is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?

Summary Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. About The Role Job Description Key Responsibility Solid understanding of multiple datasets (e.g. LAAD, Xponent, DDD) and managing and coordinating data sets from databases to find patterns and trends. Redefining these complex and granular data into actionable insights. Responsible for standard and ad-hoc extracts/reports across multiple primary and secondary data sources. Responsible for tracking ongoing outcomes reports and manage priorities for upcoming reports. Sharing findings with partners with reports and presentations on a timely basis. Putting together specifications to extract/transform data into required formats for different analytical elements using programming languages like SQL or other data processing tools. Build the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional partners. Essential Requirements Ability to work independently and as an integral member of the team and Attention to detail and quality focused, good interpersonal and communication skills, influence, negotiation and tact skills, innovative, and collaborative behaviors and “can-do” orientation. Curiosity and strong analytical thinking, verbal and written communication skills and exposure to working in multifunctional/cultural environment. Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process. Ability to multi-task, work in a demanding distributed team environment, work under tight deadlines. Develop and maintain strong individual performance. Desirable Requirements Masters or Bachelor’s in STEM At least 1+ years of experience in data modeling and reporting solutions development and hands-on experience of APLD and US national and subnational datasets and ability to lead teams functionally. Technical abilities: Excel, SQL or Dataiku, and PowerPoint is vital. Knowledge of statistical modeling or ML is a plus. 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

Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements Identify and analyze issues, make recommendations, and implement solutions Utilize knowledge of business processes, system processes, and industry standards to solve complex issues Analyze information and make evaluative judgements to recommend solutions and improvements Conduct testing and debugging, utilize script tools, and write basic code for design specifications Assess applicability of similar experiences and evaluate options under circumstances not covered by procedures Develop working knowledge of Citi’s information systems, procedures, standards, client server application development, network operations, database administration, systems administration, data center operations, and PC-based applications Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Job Description: The role requires advanced level skills and very good working knowledge in Python and DataIku (Analytics tool). Require very good knowledge in developing DataIku dashboards and reports Utilize knowledge of applications development procedures and concepts and other technical aspects to identify and define requirements to enhance the system Identify and analyze issues, make recommendations, and implement solutions Utilize knowledge of business processes, system processes, and industry standards to solve complex issues Resource should have experience on SDLC Deployment Cycle and Agile Methodology Good conceptual and working knowledge of DEV Ops Tools such as : Jira, Bitbucket, Jenkins etc... Candidate will extend support in release timing during weekend. Also, candidate willing to upskills in new techstack/skills for project need Qualifications: 2+ years of relevant experience as DataIku Developer with strong analytics query writing skills. Profile who has the strong knowledge on Basic/Advanced Python. Require DataIku Analytics tool experience Experience in programming/debugging used in business applications Working knowledge of industry practice and standards Comprehensive knowledge of specific business area for application development Working knowledge of program languages, analytical, logical & problem-solving capabilities Consistently demonstrates clear and concise written and verbal communication Excel/ SQL knowledge would be good to have. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ 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.

Reference 250003SW Responsibilities Familiarizing with data, to conceptualize its use. Transform data sets, quantitative and qualitative analysis into desired data requirements Reviewing the code to spot any potential issues, which might have probability of having cascading future effects like identify trends and patterns in the data or identify anomalies such as missing or incomplete values etc. Code automation, optimization and replacing referential user data with tech managed data platforms. Understand the purpose and liaising with the data consumers, for mutual use of data to reduce time to market. Recommending strategy through testing or exploratory data analysis Provides/proposes structured methods for data processing, provides analytical support to the conduct of complex exploration and analysis of data from different sources Formalize the procedures followed, documentation, presentations of work Use advanced systems and technologies integrated platforms, DataLake environment, operational best practices of the profession Required Profile required Hands on working experience in Python (3+ years) Should be familiar with data wrangling concepts like, cleaning, organizing, and transforming raw data into the desired format Experience working with Global Banks in their Risk & finance function Basic knowledge of programing languages like SQL,SAS, R etc. Dataiku knowledge would be an added advantage Should have good communication skills Why join us We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”. Business insight At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection. Diversity and Inclusion We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents , regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.

Job Title: Data Scientist Job Description : We are seeking Data Scientist for our team in Bangalore. As a Data Scientist your responsibility will be to build & deploy end-to-end Data Science and AI/ML solutions. Must Have Technical Skills : Data Science & ML Model Development : Design, develop, and deploy Machine Learning , AI and statistical models using Python, PyTorch, R and TensorFlow. AI & Gen AI Use Cases : Working knowledge of Generative AI and Large Language Model (LLM) technologies on public cloud platforms, utilizing RAG patterns Data Exploration & Feature Engineering : Conduct exploratory data analysis and prepare datasets using advanced feature engineering techniques. End-to-End ML Pipeline Implementation : Collaborate with engineering teams to develop scalable ML pipelines and workflows. Cloud & Platform Integration : Used cloud-native services on AWS like TensorFlow, Bedrock etc along with Dataiku/Databricks/Snowflake, will be added advantage. Model Evaluation & Optimization : Evaluate model performance using appropriate metrics and continuously optimize them. Stakeholder Collaboration : Translate business problems into data science use cases and present insights to technical and non-technical stakeholders. Working Knowledge : Good to have an experience of AIML platforms like Dataiku/ Databricks/Snowflake and Cloude services like AWS/Azure/GCP. Responsibilities Responsible for the design, development, and maintenance of applications and systems, as well as managing the technical infrastructure in the production environment. Develop and implement advanced machine learning and deep learning models to automate and transform business processes. Create and apply data science models to generate strategic insights, build predictive models, and deploy solutions that align with current industry standards. Leverage generative AI models to create synthetic financial data, simulate market scenarios, generate investment ideas, automate post-trade processes, and enhance interactions with stakeholders. Work closely with both technical and business teams to solve complex challenges and perform client demos. Experience Level : 3 to 5 years in Data Science, AI/ML project implementation. Educational Background : Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Good To Have: Understanding of CI/CD tools for ML model deployment. Understanding of data governance, data security, and compliance frameworks. Knowledge of visualization tools like Power BI, Tableau, or Plotly.

Area(s) of responsibility Key Responsibilities Design, develop, extend and maintain end-to-end data workflows and pipelines in Dataiku DSS. Collaborate with data scientists and analysts to operationalize machine learning models. Leverage Generative AI models and tools within Dataiku to build advanced AI-powered applications and analytics solutions. Integrate Dataiku with various data sources (databases, cloud storage, APIs). Develop and optimize SQL queries and Python/R scripts for data extraction and transformation across relational and NoSQL databases Work extensively with cloud data warehouses like Amazon Redshift and/or Snowflake for data ingestion, transformation, and analytics. Implement automation and scheduling of data workflows. Monitor and troubleshoot data pipelines to ensure data quality and reliability. Document technical solutions and best practices for data processing and analytics.

Area(s) of responsibility Key Responsibilities Design, develop, extend and maintain end-to-end data workflows and pipelines in Dataiku DSS. Collaborate with data scientists and analysts to operationalize machine learning models. Leverage Generative AI models and tools within Dataiku to build advanced AI-powered applications and analytics solutions. Integrate Dataiku with various data sources (databases, cloud storage, APIs). Develop and optimize SQL queries and Python/R scripts for data extraction and transformation across relational and NoSQL databases Work extensively with cloud data warehouses like Amazon Redshift and/or Snowflake for data ingestion, transformation, and analytics. Implement automation and scheduling of data workflows. Monitor and troubleshoot data pipelines to ensure data quality and reliability. Document technical solutions and best practices for data processing and analytics.