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Senior Data Scientist

Novo Nordisk
7+ years
INR 40 LPA – 50 LPA
Bangalore, India
1 June 10, 2026
Job Description
Job Type: Full Time Education: M.Pharm/B.Pharm or M.Sc. Skills: Data Analysis, Document Management, Life Science, Regulatory Compliance, Waterfall Model, Environment, Experiments Design, Health And Safety (Ehs), Laboratory Equipment, Manufacturing Process, Materials Science, Process Simulation, Sop (Standard Operating Procedure), Technical Writing, Wat, GCP guidelines

Senior Data Scientist

Company: Novo Nordisk Global Business Services (GBS)
Department: Commercial USO EAI Reinvent & Engineering
Category: Data & AI
Location: Bangalore, Karnataka, India
Employment Type: Full-Time


About the Role

Novo Nordisk is seeking an experienced Senior Data Scientist to drive the development and deployment of advanced AI, Machine Learning, Deep Learning, and Large Language Model (LLM) solutions that transform healthcare outcomes.

In this role, you will work on cutting-edge AI initiatives supporting diabetes, obesity, and other chronic disease therapeutic areas. You will collaborate with business stakeholders, healthcare experts, data engineers, and AI teams to build scalable, production-grade solutions that improve patient engagement, healthcare professional interactions, commercial effectiveness, and business decision-making.

This is a high-impact role where advanced analytics and AI innovation directly contribute to improving millions of lives worldwide.


Key Responsibilities

Machine Learning & Advanced Analytics

  • Design, develop, and deploy machine learning and deep learning models.

  • Build predictive models for consumer analytics, demand forecasting, personalization, and business performance optimization.

  • Apply advanced statistical techniques to solve complex healthcare and commercial challenges.

  • Develop scalable analytical solutions that drive data-driven decision-making.

Generative AI & Large Language Models (LLMs)

  • Design and implement LLM-powered applications and solutions.

  • Build Retrieval-Augmented Generation (RAG) architectures for enterprise knowledge management.

  • Develop intelligent AI assistants, healthcare chatbots, and content analysis platforms.

  • Fine-tune foundation models using techniques such as PEFT and LoRA.

  • Implement agentic AI workflows using LangChain, LlamaIndex, and similar frameworks.

AI-Powered Healthcare Solutions

  • Develop AI solutions supporting healthcare professionals (HCPs) and Key Opinion Leaders (KOLs).

  • Create intelligent systems for literature review, content generation, and medical information retrieval.

  • Build targeted engagement and campaign optimization engines.

  • Enhance patient engagement through personalized AI-driven recommendations.

Statistical Analysis & Business Insights

  • Analyze campaign effectiveness and commercial performance.

  • Evaluate healthcare utilization patterns and patient journeys.

  • Perform hypothesis testing, causal inference, and advanced statistical modeling.

  • Generate actionable insights from structured and unstructured healthcare data.

Data Engineering & MLOps

  • Develop and manage end-to-end data science pipelines.

  • Work with modern cloud-based analytics platforms.

  • Implement MLOps best practices for model deployment, monitoring, and lifecycle management.

  • Ensure model scalability, reliability, and operational excellence.

Data Platforms & Technology Enablement

  • Build solutions using platforms such as:

    • Snowflake

    • Dataiku

    • Cloud-based AI ecosystems

  • Optimize data processing and model execution workflows.

  • Ensure compliance with healthcare data privacy regulations.

Stakeholder Collaboration

  • Translate business challenges into AI and data science solutions.

  • Collaborate with commercial, healthcare, and technology teams.

  • Present analytical findings to technical and non-technical stakeholders.

  • Drive adoption of AI solutions across business functions.

Innovation & Research

  • Evaluate emerging AI technologies and industry trends.

  • Explore opportunities to apply Generative AI in healthcare.

  • Contribute to AI strategy and innovation initiatives.

  • Promote a culture of experimentation and continuous learning.


About the Department

The Commercial AI & Data Solutions Team at Novo Nordisk is focused on building next-generation healthcare solutions using Artificial Intelligence, Advanced Analytics, and Data Science.

The team works at the intersection of:

  • Healthcare

  • Artificial Intelligence

  • Machine Learning

  • Commercial Analytics

  • Digital Transformation

to create innovative solutions that improve patient outcomes, healthcare engagement, and business performance globally.


Required Qualifications

Education

  • Bachelor's Degree in:

    • Computer Science

    • Data Science

    • Statistics

    • Mathematics

    • Artificial Intelligence

    • Engineering

    • Related Quantitative Discipline

Preferred

  • Master's Degree

  • PhD in a quantitative or AI-related field


Experience

  • Minimum 7+ years of Data Science experience.

  • Healthcare, pharmaceutical, life sciences, or biotech experience preferred.

  • Proven experience deploying production-grade AI solutions.