Novartis
Analyst - Data Science
- Location
- Hyderabad
- Work mode
- Onsite
- Experience
- 2+ yrs exp
- Pay
- ₹10–16 LPA (Est.)
- Type
- Full-time job, AI & ML
- Added
- 13 November 2026
About this role
The AI and Data Science Operations team at Novartis BSI Insights uses data, analytics and machine learning to support business decisions across international units. This Hyderabad office-based Analyst role focuses on commercial pharma analytics. You will build predictive, classification and statistical models and analyse claims, sales and promotion data. You will also support projects in multi-channel marketing, targeting and segmentation, and resource optimisation. Alongside senior associates, you will turn business questions into analytical solutions and help with documentation, automation and Generative AI exploration. The role suits people with at least two years of data science experience who are comfortable in Python, R or PySpark.
Novartis is hiring for Analyst - Data Science, a full-time role based in Hyderabad (onsite).
Who can apply: 2+ yrs exp. Skills: Python, R, PySpark, Machine Learning, Statistics, SQL.
Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.
What you'll do
- Build predictive, classification, machine learning and statistical models for commercial pharma projects
- Analyse large datasets such as claims, sales and promotions data to generate insights
- Support projects in multi-channel marketing, targeting, segmentation, resource allocation and optimisation
- Work with senior associates and stakeholders to turn business problems into analytical solutions
- Contribute to process improvement, automation, SOPs, quality checklists and Generative AI/LLM exploration
- Manage project delivery with clear documentation and stakeholder updates
What you need
- Any full-time graduate
- Minimum 2 years of experience in data science, preferably in pharma, healthcare, life sciences or analytics
- Strong understanding of statistics, predictive analytics, machine learning and deep learning
- Hands-on programming in Python, R or PySpark
- Experience analysing large, complex datasets from multiple sources
- Good verbal and written communication and ability to work across teams and time zones
Skills
- Python
- R
- PySpark
- Machine Learning
- Statistics
- SQL
"Est." = Hirastra's estimate based on market data, not an official figure.
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