D2P Data Analytics Senior Data Scientist RDT ERP

Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

The Senior IT Data Scientist is responsible for leading, developing, and implementing data-driven AI and GenAI solutions to complex business problems. This role involves independently identifying analytical opportunities, conducting in-depth data exploration and analysis, and building, testing, and deploying predictive models using various machine learning techniques. You will own projects from inception to deployment, leveraging strong programming, statistical modeling, and data visualization skills, while clearly communicating findings to both technical and non-technical stakeholders.

Description of the area

The Demand to Pay (D2P) Data & Analytics area is responsible for driving the end-to-end Procurement, Accounts Payable and Travel & Expense Management Data & AI strategies by translating Functional strategies into measurable business outcomes. We’re looking for a hands-on Full-Stack AI Developer (Generalist) to join a small, fast-moving team. This role is ideal for someone who enjoys building end-to-end products, thrives in ambiguity, and is excited about applying AI in practical, user-facing applications.

This role seeks a broad skillset, strong foundational knowledge, and tech stack flexibility over deep specialization. You will support Roche's Data & AI strategies by working with global platforms.

This position involves collaboration with key stakeholders, including Global Procurement, Diagnostics Direct Procurement, and RSS Operations.

Job Responsibilities

Design, build, and ship AI-powered applications from concept to production

Develop backend services and APIs using Python

Build responsive frontend interfaces using JavaScript / TypeScript

Integrate LLMs into products for real-world use cases

Build and improve RAG pipelines, prompt workflows, and agentic AI systems

Work with modern AI coding tools to accelerate development and delivery

Collaborate closely with product and business stakeholders in a fast-paced environment

Take ownership of features across architecture, implementation, testing, and deployment

Qualifications

A bachelor's degree in Computer Science, Software Engineering, or a related field preferred

Equivalent practical experience is fully acceptable

Demonstrated experience in independently identifying analytical opportunities, conducting in-depth data exploration, and owning projects from inception to deployment.

Proven track record of driving medium-sized projects that influence business decisions and align with strategic objectives.