Analyst - Data Science

Novartis

Hyderabad, INonsitePosted Jul 22, 2026
Posting intelligenceActively listedReposted 12×, possible evergreen/ghost posting

Skills

classificationpythonexcelllm

About the role

Summary

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.

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

Deliver predictive and classification models using machine learning and statistical algorithms as an individual contributor for various projects related to commercial pharma, in close collaboration with senior associates in the team.

Analyze large datasets from various sources (Claims, Sales, Promotions, etc.) to uncover insights and drive decision-making processes

Bring in operational efficiencies in the existing processes by closely working with senior associates in the team.

Deliver through a structured project management approach with appropriate documentation and communication throughout the project delivery cycle.

Support the creation and maintenance of standard operating procedures and quality checklists to ensure excellent quality outputs within the function.

Deliver projects and manage internal customer expectations across multi-channel marketing analytics, targeting and segmentation, predictive analytics, resource allocation and optimization, and ad-hoc requests.

Support the exploration and integration of cutting-edge AI technologies, particularly in the field of generative AI and LLM technologies.

Essential Requirements

Minimum 2 years of experience in data Science, Python, SQL, Excel, time series, Machine learning

Strong foundation in statistics, predictive analytics, machine learning, and deep learning algorithms

Proficiency in Python; familiarity with R is a plus

Proven ability to solve complex problems with creative, data-driven solutions

Comfortable working across time zones and collaborating with global teams

Excellent verbal and written communication skills for stakeholder engagement

Bachelor’s degree in a related field

Demonstrated ability to balance strategic thinking with operational execution

Desirable Requirements

Experience collaborating with senior leadership and cross-functional teams across Marketing, Sales, and Data Enablement

Ability to thrive in a dynamic environment and adapt quickly to evolving business priorities

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)

Division

International

Business Unit

Marketing

Location

India

Site

Hyderabad (Office)

Company / Legal Entity

IN10 (FCRS = IN010) Novartis Healthcare Private Limited

Functional Area

Data and Digital

Job Type

Full time

Employment Type

Regular

Shift Work

No

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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