US Value & Access Insights - Associate Data Scientist

Overview

Build and contribute to production-grade AI systems across the US Value & Access organization, including AI copilots, intelligent contract systems, anomaly detection engines, and real-time decision platforms, working alongside senior data scientists, engineers, and business partners.

What you'll do

• Build LLM-powered assistants, implement prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and agentic workflows and related applications.
• Extract, classify, and query insights from unstructured documents (contracts, policies, SOPs); build NLP pipelines for semantic search and summarization.
• Work on data ingestion, transformation, and feature engineering pipelines; contribute to scalable AI/ML infrastructure.
• Build APIs, dashboards, and backend services that power AI-driven insights for end users.
• Develop anomaly detection models (e.g., claims, pricing, Gross-to-Net); build forecasting and optimization models to support commercial decisions.
• Collaborate with cross-functional technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights.
• Participate in code reviews, design discussions, and adopt best practices across MLOps and software engineering.

What you'll need

• 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, such as an LLM-based chatbot with RAG (document Q&A), AI summarization tools, or agent-based multi-step reasoning systems, and deployed ML models (API or web app) or data pipelines (ETL/ELT).
• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Engineering, or other STEM majors.
• 1-3 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).

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.
• Any AWS / Azure / GCP certification.
• Any Python, Machine Learning, or GenAI certification.

Details

• Location: Hyderabad, India.
• Ability to work effectively with global, virtual, cross-functional teams.