Associate Data Scientist - Value & Access Strategy
- Compensation
- Not disclosed
- Location
- India - Hyderabad
- Work setup
- Not specified
- Seniority
- Junior
- Employment
- Contract
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- Strong programming skills in Python, PySpark, and SQL
- Solid understanding of Data Structures & Algorithms, OOP, and System Design fundamentals
- Hands-on experience with core Machine Learning techniques (Regression, Classification, Clustering)
- Working knowledge of NLP fundamentals (tokenization, embeddings, transformers)
- Exposure to LLMs (OpenAI, HuggingFace, Anthropic, etc.) and prompt engineering / GenAI workflows
- Experience with data manipulation libraries (Pandas, NumPy) and working with both structured and unstructured data
- Familiarity with REST APIs and backend development basics
- Mandatory hands-on experience with 2–3 real AI/ML projects
- AI/GenAI: LLM-based chatbot with RAG (document Q&A), AI summarization tools, or agent-based multi-step reasoning systems
- Engineering: Deployed ML models (API or web app), data pipelines (ETL/ELT)
- - Bachelor's or master’s degree in computer science, Artificial Intelligence, Data Science, Statistics, Engineering, or other STEM majors
- - 2–6 years of hands-on experience in AI/ML, data science, or software engineering roles
- - Demonstrated portfolio of AI/ML projects (GitHub, publications, or production deployments)
- EQUAL OPPORTUNITY STATEMENT
- Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disab
- We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to rece
Nice to have
- Experience with RAG pipelines and vector databases (FAISS, Pinecone, Chroma, Weaviate)
- Hands-on experience with LangChain, LlamaIndex, or agent frameworks (AutoGen, CrewAI)
- Exposure to MLOps tools (Docker, CI/CD, MLflow, Kubeflow, Airflow)
- Knowledge of time-series forecasting and anomaly detection techniques
- Frontend basics (Streamlit, React) for building dashboards and demos
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with Databricks for data analytics and ML workflows
- Foundational understanding of the US pharmaceutical ecosystem, relevant datasets (e.g., claims, prescription data), and Patient Support Services offerings
Full description
Career Category
Value and Access
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Job DescriptionABOUT AMGEN
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
ABOUT THE ROLERole Description:
As an Associate Data Scientist, you will help build next-generation AI-powered platforms that transform how commercial, contracting, and patient access strategies are designed and executed across the US Value & Access organization. Our AI portfolio includes AI copilots, intelligent contract systems, anomaly detection engines, and real-time decision platforms that directly impact how Amgen serves patients and partners.
In this role, you will work on production-grade AI systems, contributing to the development of scalable, intelligent solutions that integrate structured and unstructured data, power decision-making, and deliver measurable business impact. You will collaborate with senior data scientists, engineers, and business partners to bring cutting-edge GenAI, LLM, and ML solutions from prototype to production.
Roles & Responsibilities:
You will contribute to one or more of the following high-impact areas:
- AI Copilots & Agents: Build LLM-powered assistants, implement prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and agentic workflows and related applications
- Intelligent Document & Contract AI: Extract, classify, and query insights from unstructured documents (contracts, policies, SOPs); build NLP pipelines for semantic search and summarization
- Data & AI Platforms: Work on data ingestion, transformation, and feature engineering pipelines; contribute to scalable AI/ML infrastructure
- Real-time AI Systems: Build APIs, dashboards, and backend services that power AI-driven insights for end users
- Analytics & Decision Engines: Develop anomaly detection models (e.g., claims, pricing, Gross-to-Net); build forecasting and optimization models to support commercial decisions