Senior Associate, Data Science & AI
- India - Mumbai
The Global Commercial Analytics (GCA) team within the Chief Marketing Office (CMO) organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge Machine learning algorithms and artificial intelligence techniques to solve complex problems and create value.
We are looking for a Sr Associate, Data Science and AI who will be responsible for delivering data-derived insights and/or AI-powered analytics tools to Pfizer’s Commercial organization and will support a brand or therapeutic area. This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights. We are seeking a hands-on Data Scientist to design and implement advanced analytics and machine learning solutions that drive commercial decision-making in the pharmaceutical domain. The ideal candidate will have strong expertise in statistical modeling, forecasting, segmentation, clustering, classification, and regression, with experience in Bayesian methods. Familiarity with pharma or healthcare data is highly desirable. Exposure to agentic AI frameworks is a plus.
This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are driving business transformation through proactive thought-leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.
Key Responsibilities
- Predictive Modeling & Forecasting
- Develop and deploy forecasting models for sales, demand, and market performance using advanced statistical and ML techniques.
- Apply Bayesian modeling for uncertainty quantification and scenario planning.
- Segmentation & Targeting
- Implement customer/physician segmentation using clustering algorithms and behavioral data.
- Build classification models to predict engagement, conversion, and prescribing patterns.
- Commercial Analytics
- Design and execute regression models to measure promotional effectiveness and ROI.
- Support marketing mix modeling (MMM) and resource allocation strategies.
- Machine Learning & AI
- Develop ML pipelines for classification, clustering, and recommendation systems.
- Explore agentic AI approaches for workflow automation and decision support (good-to-have).
- Data Management & Visualization
- Work with large-scale pharma datasets (e.g., IQVIA, Veeva CRM, claims, prescription data).
- Create interactive dashboards and visualizations using Tableau/Power BI for senior stakeholders.
- Collaboration & Communication
- Partner with Commercial, Marketing, and Insights teams to understand business needs.
- Present analytical findings and actionable recommendations through clear storytelling.
Required Qualifications
- Education: Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related quantitative field.
- Experience: 0–2 years in data science or advanced analytics, preferably in commercial pharma or healthcare.
- Technical Skills:
- Strong proficiency in Python (pandas, scikit-learn, statsmodels, PyMC for Bayesian).
- SQL for data extraction and transformation.
- Experience with ML algorithms: regression, classification, clustering, time-series forecasting.
- Familiarity with Bayesian modeling and probabilistic programming.
- Visualization tools: Tableau, Power BI.
- Domain Knowledge: Pharma/healthcare datasets and commercial analytics concepts.
- Soft Skills: Excellent communication and ability to translate complex analytics into business insights.
Preferred Skills
- Experience with agentic AI frameworks (good-to-have).
- Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Exposure to marketing mix modeling (MMM) and promotional analytics.
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.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers.
Marketing and Market Research
Breakthroughs that change patients’ lives
Research confirms what intuition tells us: that purpose-driven companies perform better, are more innovative, attract and retain the best people, and know how to unleash the power of those people. Pfizer’s purpose—Breakthroughs that change patients' lives—fuels everything we do and reflects our passion for building on our legacy as one of the greatest contributors of good to the world.
Each word in our purpose has meaning and reflects the value we strive to bring to patients and society:
“Breakthroughs” - These are the innovations, scientific and commercial, that we seek to deliver every day. All colleagues, regardless of role, level or location, strive for breakthroughs every day.
“Change” - We want to do more than simply improve patients’ medical conditions; we want to dramatically change their lives for the better.
“Patients’ lives” - We consider not only patients, but everyone they touch—including their families, caregivers, and friends—and everything they love to do. It’s an intentionally holistic view.
Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.
Every decision we make and every action we take is done with the patient in mind—and to nurture an environment where breakthroughs can thrive.
Benefits at Pfizer
Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues. Our Pay for Performance Philosophy and Practices reward colleagues based on the contributions they make to our business.
Our Competitive Benefits Programs help our colleagues by:
- Promoting Health and Wellness to help colleagues maintain and improve their physical and mental wellbeing. Pfizer offerings include health and disability insurance, preventative health programs, medical screenings, free or reduced-cost vaccinations, discounts on Pfizer products, mental health support, nutrition and fitness counseling and more.
- Strengthening Colleagues’ Financial Security by providing company contributions to retirement plans, life insurance and financial planning education to help colleagues achieve their financial goals.
- Providing Benefits and Time off for the Moments that Matter to ensure Pfizer colleagues have the time away from the office to recharge, recover and return to work as the best version of themselves. Vacation, Holiday time and Sick time are just the beginning, with a 12 week parental leave policy for both parents of a new born, 10 day of caregiver leave for those times when your family needs you whether it’s a child, spouse or parent, bereavement leave, and additional country-specific programs.
- And so much more, depending on your country and site, Pfizer offers childcare facilities or discount programs, on-site health and/or fitness centers, movement and mindfulness solutions, “Log in for your Day” work flexibility and so much more.
For U.S. based jobs, view an overview of Pfizer’s U.S. benefits program (opens in a new window)