Job Title: Analyst - Data Scientist

Grade : C3

Shift: 2 pm to 11 pm IST

Role: Individual contributor role.

Location: Manyata Tech Park Bangalore.

Introduction to role:

Are you ready to dive into the world of commercial analytics and make a real impact As a Data Scientist youll partner with cross-functional teams to tackle business challenges head-on using data-driven solutions. Your mission will be to design develop and deploy advanced AI and machine learning models leveraging diverse healthcare datasets to uncover actionable insights and optimize business processes.

Accountabilities:

Platform & Pipeline Ownership: Design build and maintain robust ETL/ELT pipelines across Snowflake Redshift S3 and AWS services; implement workflow orchestration with Apache Airflow and similar tools; manage environments for reliability observability and cost efficiency.

Data Integration & Quality: Ingest and harmonize internal and external data including EHR administrative claims and laboratory data (e.g. IQVIA Komodo Symphony Prognos); implement data profiling quality checks reconciliation and lineage to ensure accuracy and timeliness.

Data Modeling & Performance: Engineer curated data models and feature-ready datasets and marts; optimize SQL and storage strategies; enable performant data services that power analytics dashboards and ML scoring.

Automation & DevOps: Apply scheduling monitoring alerting and process improvements. Use Git-based CI/CD methods. Build reusable components and frameworks that coordinate and prioritize data descriptions to streamline transformations and business rules at scale.

Architecture Security & Governance: Contribute to cloud architecture decisions data cataloging access controls and governance standards; promote best practices for scalability security and compliance in healthcare/biopharma contexts.

BAU & Support: Provide operational support for data solutions manage tickets and incident response and drive continuous improvement across pipelines and platform processes.

Essential Skills/Experience:

- Education & Experience: BS/MS in a quantitative field (Computer Science Data Science Engineering Information Systems Economics) and at least 4 years of relevant data engineering/analytics engineering experience.
- Core Technologies: Proficiency with Python and SQL; hands-on experience with Snowflake AWS (e.g. S3 Lambda) Amazon Redshift Apache Spark and Apache Airflow. Familiarity with MongoDB Oracle Teradata and/or SQL Server.
- Data Engineering Skills: Strong track record building ETL/ELT pipelines integrating diverse sources orchestrating workflows and implementing data quality lineage and governance; proven performance tuning and scalability practices.
- Analytics & DS Fundamentals: Ability to translate business logic into technical requirements and analytical datasets; experience supporting feature engineering and model operations; proficiency in data manipulation cleansing and interpretation; ability to analyze results and present findings.
- Communication & Collaboration: Clear written and verbal communication to convey complex methods and outcomes to technical and non-technical stakeholders; comfortable working cross-functionally and in cross-cultural environments.
- Operational Excellence: Experience with support/maintenance projects ticket handling and change management; experience with Git and CI/CD workflows.

Desirable Skills/Experience:

- Model Enablement: Partner with Commercial Data Science and Advanced Analytics teams to translate business logic into technical requirements; prepare analytical datasets and features; optimize queries and data flows for model training scoring and monitoring.
- Applied Analytics: Conduct analyses using HCP and de-identified patient-level healthcare data to generate disease insights lead generation targeting segmentation and field alerts; maintain scalable analytical assets for recurring use cases.
- Methods & Tools: Contribute to predictive modeling workflows (e.g. regression classification clustering time series); support development and optimization of ML tools that improve patient finding and HCP identification; build dashboards and reports in Tableau Power BI Qlik or Databricks/Dataiku notebooks.
- Collaboration: Work with Commercial partners and the internal AI community to identify value-driving opportunities and share best practices; support ad hoc analyses and production operations as needed.
- Big Data & Distributed Computing: Knowledge of Hive Spark Scala HDFS; designing solutions for large-scale distributed environments.
- APIs & Integration: Experience with HTTP requests/responses and RESTful services for data ingestion and application integration.
- Visualization & BI: Experience with Tableau Qlik Power BI and Excel-based reporting.
- Domain & Tools: Working knowledge of Salesforce/Veeva CRM data governance practices and data mining algorithms; consulting healthcare or biopharma experience; hands-on work with EHR claims and lab data ecosystems.
- ML Enablement: Experience operationalizing ML pipelines (training scoring monitoring) and optimizing data flows for model performance in Databricks or Dataiku.

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZenecas Alexion division for Rare Diseases youll find an environment where innovation thrives! Our commitment to patients drives us forward every day. Here youll 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 leaderyour career here is more than just a pathits a journey towards making a difference where it truly counts.

Ready to make an impact Apply now!

Date Posted

Closing Date

Alexion 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 lackthereof sex sexualorientation age ancestry national origin ethnicity citizenship status marital statuspregnancy (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 aninteractive dialogue with Alexion regarding an accommodation please contact . Alexion participates in E-Verify.