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US Value & Access Insights - Associate Data Scientist
Amgen (company site, opens in a new tab)1–3 yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI-powered platforms and tools that support commercial, contracting, and patient access strategies within the US Value & Access organization.
- Build and maintain scalable AI/ML systems including AI copilots/agents, NLP pipelines for document and contract analysis, real-time AI decision engines, and data platforms integrating structured and unstructured data.
- Collaborate with cross-functional teams including senior data scientists and engineers to translate business needs into AI-driven technical solutions and oversee best practices in MLOps and software engineering.
Minimum Requirements
- Bachelor's or master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or related STEM field.
- 1–3 years of hands-on experience in AI/ML, data science, or software engineering roles, with 2–3 AI/ML projects including production deployments mandatory.
- Strong programming skills in Python, PySpark, and SQL; experience with core ML techniques and NLP fundamentals; familiarity with REST APIs and backend development.
- Work Experience Required: 1–3 years in relevant AI/ML roles. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in end-to-end AI/ML system development including LLM-powered applications such as chatbots with retrieval-augmented generation and summarization tools.
- Proficient in building scalable data pipelines, NLP workflows, and AI-driven real-time decision support platforms within regulated or data-sensitive environments like pharmaceutical domain.
- Comfortable working collaboratively with cross-functional technical teams and translating complex business challenges into practical AI solutions, with exposure to MLOps and cloud platforms as a plus.