REQ-10072515
Mar 09, 2026
India

Summary

- Understands business problems, supports an integrated analytical approach to mine data sources, manage data effectively, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use.
-Provide data science and quantitative analytical support by ensuring the timely delivery of high-quality reports.
-Build capabilities to leverage the Science of data.

About the Role

Major accountabilities:

  • Under guidance of their supervisors and team members and gradually more independently
  • Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modeling
  • Search and develop data management techniques, new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
  • Quickly learns and pilots the use of tools, data sources and analytical techniques needed to answer wide range of critical business questions and to improve status quo
  • Identifies research articles and reproduce /apply innovative methodology to Novartis business problems
  • Provide understandable and actionable business intelligence for key stakeholders.
  • Brings understanding of one or more areas of data sciences and is able to demonstrate practical knowledge of techniques
  • Helps developing new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources
  • Support various projects, of limited scope.
  • Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt
  • Distribution of marketing samples (where applicable)
  • Ensure a healthy and safe workplace by complying with Novartis HSE and ISEC standards, implementing measures, providing training and resources, supporting employee well-being, investigating incidents, and collaborating with HSE teams to maintain a safe environment while adhering to quality, ethical, health, safety, and environmental requirements

Key performance indicators:

  • Successful implementation based on KPI’s and data management, advanced analytics program objectives

Minimum Requirement: Work experience:

  • 2+ years of relevant experience in Data Science

Skills:

  • Artifical Intelligence (AI)
  • Biostatistics
  • Data governance
  • Data literacy
  • Data science
  • Data Visualization
  • Graph algorithms
  • Logistic Regression Model
  • Machine Learning (ML)
  • Machine Learning Algorithms
  • NLP (Neuro-Linguistic Programming) and GenAI
  • Pandas (python)
  • Python (Programming Language)
  • R (Programming Language)
  • SQL (Structured Query Language)
  • Time Series Analysis
  • Data quality
  • Learning Agility
  • Curiosity
  • Statistical Analysis

Language:

  • English


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)

Corporate
Information Technology
India
Hyderabad (Office)
Data and Digital
Full time
Regular
No
Thriving together - Our story. VIDEO

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

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REQ-10072515

Specialist Data Science & AI

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