Amgen

Senior Data Scientist

India · On-site · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerAmgen
LocationIndia
Work styleOn-site
Employment typeFull time
Employer posted6 Jul 2026

Career Category

Information Systems

Job Description

As a Senior Data Scientist, you will build and model digital product and platforms that bring Amgen’s AI/ML and GenAI solutions to life.

This role has to collaborate with Amgen’s Technical Architect, Product Manager, UX designers, and Back-end engineers to design secure, scalable, and user-centric products that accelerate discovery, manufacturing, and commercial analytics, corporate functions products

Key Responsibilities

Strong experience with statistics and machine learning, including deep learning, natural language processing (NLP) and, experience in building cloud-scale systems and working with open-source stacks for data
Experiment with large language models (LLM), Artificial intelligence (AI) for code or related fields, Generative AI, Foundational Models, Supervised and Unsupervised Learning
Collaborate with cross-functional teams to understand the requirement and design solutions that meet business needs. Also with Data Architects, Business SMEs, and Technical Architect to design and develop to meet fast-paced business needs.
Explore new tools and technologies that will help rapid development of solutions
Participate in sprint planning meetings and provide estimations on technical implementation
Embed responsible-AI and security-by-design controls
Experience in Generative AI, Foundational Models, LLM's, Feature Engineering, Selection & Extraction, BI & Automation, Predictive Modelling, Data Visualization, CNN, RNN, GNN, Transformers, Exploratory Data Analysis and Causal AI
Familiarity with Python packages (Pytorch, TensorFlow, Hugging FaceScikit-learn, Pandas, NumPy, Matplotlib, Cloud Vision API, RAG, TensorBoard, OpenCV,NLTK)), programming languages ( C, C++, Java, CUDA,SQL, NoSQL, PHP, HTML, JS, CSS etc.)

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Required Qualifications

6–12 years of experience in Data Science (eg: managing structured and unstructured data, applying statistical techniques and reporting results)
Doctorate or Master's or Bachelor's in Computer Science, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science or a related field
Leverage cloud platforms (AWS preferred) to build scalable and efficient solutions
Strong background in Deep Learning, Machine Learning, NLP, Data Mining.
Excellent communication and stakeholder management skills.

Preferred Skills

Prior exposure to pharma / life sciences AI environments is preferred.
Strong understanding of Responsible AI and model validation principles.

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