D2P Data & Analytics Senior Data Scientist - RDT ERP

Description

This is a Senior Data Scientist role, D2P Data & Analytics, in the RDT ERP area. You will lead and build data-driven AI and GenAI solutions for complex business problems, from spotting analytical opportunities on your own to deploying predictive models built with machine learning.

The D2P Data & Analytics area sets data and AI direction for procurement, accounts payable, and travel and expense management, turning functional goals into outcomes that can be measured. You will work with the Global Procurement, Diagnostics Direct Procurement, and RSS Operations teams.

The role is a generalist full-stack AI developer position on a small, quick-moving team. Breadth and adaptability matter more than deep specialization, and you will help deliver the AI and data strategy on global platforms.

The company is a healthcare business with more than 100,000 employees. Its medicines have reached over 26 million people, and its diagnostics products have supported over 30 billion tests.

Responsibilities

• Take projects from first idea to production, owning architecture, build, testing, and release
• Build backend services and APIs in Python
• Create responsive frontends in JavaScript or TypeScript
• Connect LLMs to products for practical use cases
• Improve RAG pipelines, prompt flows, and agentic AI systems
• Use modern AI coding tools to speed up delivery
• Work closely with product and business stakeholders at a fast pace

Requirements

• A bachelor's degree in computer science, software engineering, or a related field is preferred, but equivalent hands-on experience is fully accepted
• A record of finding analytical opportunities on your own, exploring data in depth, and owning projects end to end
• A track record of leading medium-sized projects that shape business decisions and support strategic goals
• A strong portfolio or GitHub profile with personal projects is highly valued
• Strong Python backend skills
• Solid JavaScript or TypeScript frontend skills
• Able to work across the full stack and ship complete features
• Experience with Snowflake CORTEX AI or Dataiku is optional
• Hands-on experience building AI-powered applications
• Working knowledge of prompt engineering, RAG pipelines, LLM integrations, and AI agents or agentic workflows
• Experience with LangChain, LangGraph, or similar AI orchestration frameworks
• You use AI coding assistants every day. This is a core requirement and multiplies your other skills. Examples include Claude Code, OpenAI Codex, Cursor, and GitHub Copilot
• Ability to explain complex findings clearly to both technical and non-technical audiences
• Skill at working with business units to understand and meet their data needs
• Product-minded and pragmatic, comfortable moving between frontend, backend, and AI work
• Quick to learn, with solid fundamentals, self-directed, and comfortable in teams where everyone owns outcomes

Conditions

Job code: RDT2026

The company is an equal opportunity employer