US Value & Access Insights - Associate Data Scientist
Amgen (company site, opens in a new tab)2–6 yrsHyderabadOn-siteDirect career pageEst. 12–25 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI-powered platforms and solutions across commercial, contracting, and patient access functions in the US Value & Access organization.
- Build and maintain production-grade AI systems including LLM-powered assistants, NLP pipelines for document analysis, real-time AI insights systems, and decision-support models with measurable business impact.
- Collaborate with data scientists, engineers, and business stakeholders to translate business needs into scalable AI/ML solutions from prototype through production.
Minimum Requirements
- Bachelor's or master's degree in Computer Science, AI, Data Science, Statistics, Engineering, or related STEM field.
- 2 to 6 years of hands-on experience in AI/ML, data science, or software engineering roles with a demonstrated portfolio of AI/ML projects published, deployed, or on GitHub.
- Strong programming skills in Python, PySpark, SQL and working knowledge of machine learning techniques and NLP fundamentals including exposure to LLMs and prompt engineering.
- Mandatory hands-on experience on 2–3 real AI/ML projects involving LLM chatbots with RAG, AI summarization, agent systems, ML model deployment, or data pipelines.
Ideal Candidate Profile
- Experienced in building and scaling AI/ML production systems, particularly those integrating large language models, NLP, and real-time analytics.
- Capable of working across cross-functional teams to transform business requirements into technically robust AI-driven platforms in fast-paced environments.
- Familiarity with pharmaceutical datasets and ecosystem, cloud platforms, MLOps practices, and emerging AI tools like LangChain or vector databases is advantageous but not required.