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Principal Data Scientist

amgen.com Logo

Amgen

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Principal 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.

Job Responsibility:

  • Build and model digital product and platforms that bring Amgen’s AI/ML and GenAI solutions to life
  • 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
  • Collaborate with cross-functional teams to understand the requirement and design solutions that meet business needs
  • Collaborate 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.

Requirements:

  • 6 –12 years of experience in Data Science (eg: managing structured and unstructured data, applying statistical techniques and reporting results)
  • Doctorate 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.

Nice to have:

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

Additional Information:

Job Posted:
March 19, 2026

Work Type:
On-site work
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