Level

Roche

D2P Data & Analytics Data Scientist - RDT ERP

AI in this role

Full-Stack AI Developer designing, building, and shipping AI-powered applications, LLM integrations, and RAG pipelines at Roche.

openaiclaudecopilotlangchainlanggraphcursorclaude-codecodexpythonjavascripttypescriptllms
prompt-engineeringragllm-integrationai-agentsmachine-learningfull-stackagentic-ai

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

Education / Experience

  • 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.

  • A strong portfolio / GitHub profile with personal projects is highly valued

Technical Skills

  • Strong experience in Python backend development

  • Solid experience with JavaScript / TypeScript frontend development

  • Comfortable working across the full stack and shipping complete features

  • Snowflake CORTEX AI or Dataiku (Optional)

AI / GenAI Experience

  • Practical experience building AI-powered applications

  • Strong understanding of:

    • Prompt engineering

    • RAG (Retrieval-Augmented Generation) pipelines

    • LLM integrations

    • AI agents / agentic workflows

  • Experience with frameworks/tools such as:

    • LangChain

    • LangGraph

    • or similar AI orchestration frameworks

AI Coding Tools

You should actively use AI-assisted coding tools as part of your daily workflow. This is a key requirement and will significantly amplify all other capabilities.

For Examples:

  • Claude Code

  • OpenAI Codex

  • Cursor

  • GitHub Copilot

Additional Qualifications

  • Exceptional communication skills, with the ability to present complex findings clearly to various stakeholders, including non-technical audiences.

  • Strong collaborative capabilities to effectively engage with broader business units to understand and meet data needs.

  • Product-minded and pragmatic, comfortable switching between frontend, backend, and AI workflows.

  • Fast learner with strong fundamentals, Self-driven and proactive, and Enjoys working in teams with high ownership

What you get:

  • Salary range 14 175,00 - 26 325,00 PLN gross based on the employment contract.

  • Annual bonus payment based on your performance.

  • Dedicated training budget (training, certifications, conferences, diversified career paths etc.).

  • Recharge Fridays (2 Fridays off per quarter available).

  • Take time Program (up to 3 months of leave to use for any purpose).

  • Vacation subsidy available.

  • Flex Location (possibility to perform our work from different places in the world for a certain period of time).

  • Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice).

  • Private healthcare (LuxMed packages), group life insurance (UNUM) and Multisport.

  • Stock share purchase additions.

  • Yearly sales of company laptops and cars and many more!

Apply directly and join us in shaping the future of healthcare.

If you feel this offer suits a friend of yours, feel free to share it. 

Want to know what it’s like to be a part of Roche IT first-hand?  Check out our blog!  

https://careers.roche.com/global/en/we-are-roche

The controller of your personal data is Roche Polska Sp. z o.o., ul. Domaniewska 28, 02-672 Warsaw. The data is processed for the purpose of recruitment. You have the right to access your data, rectify it, delete it, limit processing, transfer it and - if processing is based on your consent - withdraw this consent at any time. Contact the Data Protection Officer at: Ochrona.danych@roche.com. More information on the principles of processing your personal data by Roche at the link:  

 https://www.roche.pl/pl/content/klauzula-informacyjna-rekrutacja-en.html

Roche Polska sp. z o.o.  operates in full compliance with the law and does not tolerate any violations. Roche  Polska sp. z o.o.  has implemented a Procedure for Reporting Violations of Law. If you wish to report any irregularities related to our activities, all necessary information regarding the reporting process can be found on our website: https://www.roche.pl/kontakt/ochrona-sygnalistow-zglaszanie-naruszen.


 

Administratorem Twoich danych osobowych jest spółka Roche Polska Sp. z o.o., ul. Domaniewska 28, 02-672 Warszawa.  Dane przetwarzane są w celu prowadzenia rekrutacji. Przysługuje Ci prawo dostępu do treści swoich danych, ich sprostowania, usunięcia, ograniczenia przetwarzania, przenoszenia oraz – w sytuacji, gdy są one przetwarzane na podstawie udzielonej zgody – cofnięcia tejże zgody w dowolnym momencie. Kontakt do Inspektora Ochrony Danych: ochrona.danych@roche.com. Więcej informacji o zasadach przetwarzania przez Roche Twoich danych osobowych pod linkiem:  

https://www.roche.pl/pl/content/klauzula-informacyjna-rekrutacja-pl.html


 

Roche Polska Sp. z o.o. działa w pełnej zgodności z przepisami prawa i nie toleruje żadnych naruszeń. W Roche Polska Sp. z o.o. obowiązuje Procedura zgłaszania naruszeń prawa. W przypadku chęci zgłoszenia nieprawidłowości związanych z naszą działalnością, wszelkie niezbędne informacje dotyczące zgłaszania naruszeń znajdują się na naszej stronie internetowej: https://www.roche.pl/kontakt/ochrona-sygnalistow-zglaszanie-naruszen.

Compensation & Benefits

The expected salary range for this position, based on the primary location of Warsaw Grafit is 170’100.00 PLN - 315’900.00 PLN. Final compensation will be determined by a number of factors, including your skills, experience, qualifications, and location. In addition to base pay, this role may be eligible for a discretionary annual bonus with a target of 15% subject to both individual and company performance.

This position also offers an attractive benefits package.

Learn more about how we reward our employees at Roche.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.

How we rate this

D2P Data & Analytics Data Scientist - RDT ERP at Roche rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGLLM IntegrationAI AgentsMachine LearningFull StackAgentic AIOpenAI

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How have you integrated a large language model into a production application?
  4. How do you decide when an AI agent can act on its own versus asking for approval first?
  5. Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, RAG, LLM Integration, AI Agents, and Machine Learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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