Analyst - Data Scientist
astrazeneca · India - Bangalore ·
- Category
- Data science
- Experience
- 8+ years
astrazeneca · India - Bangalore ·
This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
Grade : C3
Are you ready to dive into the world of commercial analytics and make a real impact? As a Data Scientist, you'll partner with cross-functional teams to tackle business challenges head-on using data-driven solutions. Your mission will be to build, develop, and deploy advanced AI and machine learning models. You will use diverse healthcare datasets to uncover actionable insights and optimize business processes.
Education & Experience: Master's or PhD in Statistics, Biostatistics, Data Science, Econometrics, Applied Mathematics, or a related quantitative discipline, with 4–8+ years of relevant experience in healthcare, life sciences, or commercial analytics.
AI-Native Data Science Orientation: Strong focus on AI-first problem solving. Experience applying Generative AI, AI coding agents, and intelligent systems to speed up analytics delivery while preserving analytical rigour..
Statistical Expertise: Advanced proficiency in hypothesis testing, regression analysis, ANOVA, survival analysis, Bayesian inference, experimental design, power analysis, significance testing, and small-sample statistical methodologies.
Predictive Analytics & Machine Learning: Hands-on experience developing, deploying, and validating predictive models using XGBoost, LightGBM, Random Forest, SVM, neural networks, ensemble methods, and time-series forecasting algorithms.
Programming & Analytics Tools: Expert-level proficiency in Python and SQL with experience using machine learning, statistical modelling, and explainability libraries. Familiarity with Git, Jupyter, and CI/CD workflows.
Data Platforms & Engineering: Experience working with Snowflake, Snowpark, Spark/PySpark, MLflow, cloud-based data platforms, and scalable analytical environments.
Healthcare Data Expertise: Experience working with de-identified patient-level data including claims, specialty pharmacy, laboratory, EMR/EHR, and epidemiology datasets.
Commercial Analytics Experience: Knowledge of customer segmentation, targeting, patient identification, adherence analytics, forecasting, recommendation systems, and commercial effectiveness measurement.
Compliance & Governance: Working knowledge of HIPAA requirements, explainable AI frameworks (SHAP, LIME), model monitoring, bias detection, and governance practices in regulated environments.
Communication & Collaboration: Ability to communicate complex statistical and analytical concepts clearly to business stakeholders and senior leaders while working effectively in cross-functional global teams.
Agentic AI & Advanced AI Systems: Experience working with Agentic AI frameworks, autonomous decision systems, prompt engineering, AI evaluation frameworks, and AI governance.
Marketing Mix Modelling: Hands-on experience developing Bayesian Media Mix Models using tools such as PyMC, LightweightMMM, Robyn, or similar frameworks.
Next-Best-Action Analytics: Experience designing recommendation systems using reinforcement learning, multi-armed bandits, collaborative filtering, or related approaches.
Rare Disease & Specialty Pharma Analytics: Experience supporting rare disease or specialty pharmaceutical businesses, including patient identification, specialty pharmacy data, and high-value therapy environments.
Healthcare Industry Data Sources: Experience working with IQVIA, Komodo Health, Veeva CRM, MMIT, Model N, specialty pharmacy data, laboratory datasets, and EMR/EHR sources.
Causal Inference & Advanced Analytics: Expertise applying causal inference methodologies including propensity matching, difference-in-differences, synthetic controls, instrumental variables, and regression discontinuity techniques.
Deep Learning & NLP: Experience with NLP, topic modelling, NER, embeddings, transformers, and deep learning techniques for healthcare analytics applications.
Visualisation & BI Tools: Experience building executive dashboards and self-service reporting solutions using Power BI, Tableau, or Qlik.
Model Operations & AI Enablement: Experience operationalising machine learning pipelines, model registries, monitoring frameworks, and experiment tracking tools.
Pharmaceutical Commercial Systems: Familiarity with Veeva CRM, commercial operations systems, field force effectiveness platforms, and commercial analytics ecosystems.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
At AstraZeneca's Alexion division for Rare Diseases, you'll find an environment where innovation thrives! Our commitment to patients drives us forward every day. Here you'll be part of a team that values diversity of thought as much as diversity of people. We believe in empowering our employees through tailored development programs that align personal growth with our mission. With a rapidly expanding portfolio in a dynamic biotech atmosphere combined with the resources of a global biopharma leader—your career here is more than just a path—it's a journey towards making a difference where it truly counts.
Ready to make an impact? Apply now!
Date Posted
26-Aug-2026Closing Date
04-Sept-2026Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact [email protected]. Alexion participates in E-Verify.