Analyst- Data Science

Novartis India; Andhra Pradesh; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Novartis India is seeking an experienced Data Scientist to join the AI and Data Science Operations team. You will build predictive and ML models for commercial pharma analytics, analyze multi-source data, and collaborate with stakeholders across regions to drive actionable insights and performance improvements.

The role emphasizes hands-on analytics, model deployment, and contributing to emerging AI technologies while ensuring high-quality, well-documented work across time zones.

Qualifications

• Minimum 2 years of data science experience in pharma, healthcare, life sciences, or analytics.
• Strong knowledge of statistics and ML/deep learning algorithms.
• Hands-on programming in Python, R, or PySpark.
• Experience analyzing large, complex datasets from multiple sources.
• Ability to translate business problems into analytical solutions.
• Excellent written and verbal communication for stakeholders.

Responsibilities

• Build and deliver predictive, classification, ML, and statistical models for pharma analytics.
• Analyze large datasets from claims, sales, promotions, and other data to generate insights.
• Support analytics projects across multi-channel marketing analytics, targeting, and optimization.
• Collaborate with senior associates to translate business problems into solutions.
• Contribute to process improvements, automation, and quality checks.

Skills

Python

R

PySpark

Statistics

Machine learning

Deep learning

Communication

Data analysis

Education

Graduate

Job description

Summary

The AI and Data Science Operations team at BSI Insights supports better decision making at Novartis by using data to generate actionable insights and improve performance. We work with international business units to solve complex problems, develop analytical strategies, apply engineering and machine learning methods, and automate processes for efficiency.

Summary

The AI and Data Science Operations team at BSI Insights supports better decision making at Novartis by using data to generate actionable insights and improve performance. We work with international business units to solve complex problems, develop analytical strategies, apply engineering and machine learning methods, and automate processes for efficiency.

Our team values collaboration and continuous learning, partnering closely with stakeholders across diverse regions to ensure our solutions align with specific business needs. Our work not only drives innovation but also empowers teams throughout Novartis to make informed, impactful decisions based on real-world data.

About The Role

Key Responsibilities

• Build and deliver predictive, classification, machine learning, and statistical models for commercial pharma analytics projects.
• Analyze large datasets from sources such as claims, sales, promotions, and other commercial data to generate actionable insights.
• Support analytics projects across multi-channel marketing analytics, targeting and segmentation, predictive analytics, resource allocation, optimization, and ad-hoc business requests.
• Work closely with senior associates and internal stakeholders to translate business problems into analytical solutions.
• Support process improvements, automation, documentation, SOPs, and quality checklists to ensure consistent and high-quality delivery.
• Contribute to the exploration and integration of emerging AI technologies, including Generative AI and LLMs.
• Manage project delivery with structured communication, documentation, and timely stakeholder updates.

Essential Requirements

• Minimum 2 years of experience in data science, preferably within pharmaceutical, healthcare, life sciences, or analytics domains.
• Strong understanding of statistics, predictive analytics, machine learning, and deep learning algorithms.
• Hands-on experience in programming languages such as Python, R, or PySpark.
• Experience in analyzing large and complex datasets from multiple sources.
• Strong problem-solving skills with the ability to develop practical and creative analytical solutions.
• Good verbal and written communication skills with the ability to present insights and solutions to stakeholders.
• Ability to work independently as an individual contributor and collaborate effectively across teams and time zones.

Desirable Requirements

• Experience working with pharma or healthcare datasets such as claims, sales, promotions, targeting, segmentation, or marketing analytics data.
• Exposure to commercial pharma analytics, multi-channel marketing analytics, resource allocation, or optimization projects.
• Knowledge or hands-on exposure to Generative AI, LLMs, or emerging AI technologies.
• Experience in process improvement, automation, SOP creation, quality checks, or project documentation.
• Relevant certifications in Data Science, Machine Learning, AI, Python, R, PySpark, Cloud Analytics, or Generative AI would be an added advantage.

Education

• Any Full-time Graduate.

Why Novartis:

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards:

Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)