Novartis is inviting applications for the position of Analyst – Data Science in Andhra Pradesh. The opportunity is part of the AI and Data Science Operations team at BSI Insights, which supports business decision-making through data analytics, predictive modelling, machine learning, and process automation.
Candidates with at least 2 years of experience in data science, analytics, healthcare, pharmaceutical, or life sciences domains can apply. Applicants should have programming experience in Python, R, or PySpark, along with knowledge of statistics, machine learning, and predictive analytics.
Job Details
| Particulars | Details |
|---|---|
| Company | Novartis |
| Job Title | Analyst – Data Science |
| Job Requisition ID | REQ-10092186 |
| Job Location | Andhra Pradesh, India |
| Job Type | Full-Time |
| Experience | Minimum 2 Years |
| Education | Any Full-Time Graduate |
| Department | AI and Data Science Operations |
| Job Posting | 13 November 2026 |
Position
Analyst – Data Science
Novartis is looking for candidates who can develop analytical models, analyse large and complex datasets, and support commercial pharmaceutical analytics projects. The role also involves exploring Generative AI and Large Language Models (LLMs) to improve analytical capabilities and business processes.
Key Responsibilities
- Develop predictive, classification, machine learning, and statistical models for commercial pharmaceutical analytics projects.
- Analyse large datasets from claims, sales, promotions, and other commercial data sources.
- Support multi-channel marketing analytics, targeting, segmentation, predictive analytics, and resource allocation projects.
- Work with senior associates and stakeholders to convert business requirements into analytical solutions.
- Contribute to process improvement, automation, documentation, SOPs, and quality checklists.
- Explore and integrate emerging AI technologies, including Generative AI and Large Language Models (LLMs).
- Manage project delivery through structured communication, documentation, and timely stakeholder updates.
Eligibility Criteria and Qualifications
- Any full-time graduate can apply.
- Minimum 2 years of experience in data science, preferably in pharmaceutical, healthcare, life sciences, or analytics domains.
- Understanding of statistics, predictive analytics, machine learning, and deep learning algorithms.
- Hands-on programming experience in Python, R, or PySpark.
- Experience analysing large and complex datasets from multiple sources.
- Strong problem-solving and analytical skills.
- Good verbal and written communication skills.
- Ability to work independently and collaborate with cross-functional teams across different time zones.
Required Skills
Candidates should possess knowledge or experience in the following areas:
- Programming: Python, R Programming, PySpark
- Data Analytics: Statistical Analysis, Data Science, Data Visualization, SQL
- Machine Learning: Machine Learning Algorithms, Logistic Regression Models, Predictive Analytics, Deep Learning
- Python Libraries: Pandas
- Artificial Intelligence: Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP)
- Advanced Analytics: Time Series Analysis, Graph Algorithms, Biostatistics
- Data Management: Data Governance, Data Quality, Data Literacy
Desirable Skills
The following experience and certifications will be an added advantage:
- Pharmaceutical or healthcare datasets, including claims, sales, promotions, targeting, and segmentation.
- Commercial pharmaceutical analytics and multi-channel marketing analytics.
- Resource allocation and optimization projects.
- Exposure to Generative AI, LLMs, and emerging AI technologies.
- Process improvement, automation, SOP creation, and quality documentation.
- Certifications in Data Science, Machine Learning, AI, Python, R, PySpark, Cloud Analytics, or Generative AI.
