Level

Roche

Senior Data Scientist - AI & Machine Learning

Roche is hiring a Senior Data Scientist - AI & Machine Learning. Level rates it ; you can apply on Level.

AI in this role

Architect enterprise AI and machine learning frameworks to transform commercial and medical strategies at Roche.

pythonmachine-learninggenerative-airagmlopsci-cd
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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

At Roche UK, we are transforming healthcare by embedding advanced AI and machine learning into the heart of our commercial and medical strategies.


As a Senior Data Scientist, you will architect cutting-edge AI frameworks, transform vast enterprise data into actionable insights, and help double the number of patients accessing life-changing medicines. Join us in Welwyn Garden City to lead high-impact technical innovation and shape the future of tech-enabled patient care.

The Opportunity

  • Architect Enterprise AI: Lead the end-to-end development of advanced machine learning models, from exploratory data analysis and feature engineering to production deployment.
  • Drive Next-Gen Innovation: Prototype state-of-the-art AI solutions, including Generative AI, RAG systems, and predictive models to solve complex commercial and healthcare challenges.
  • Build Scalable Pipelines: Partner with data engineers and global IT teams to ensure AI solutions are scalable, secure, and integrated with CI/CD and MLOps standards.
  • Bridge Tech and Strategy: Translate complex algorithmic outputs and statistical concepts into clear, high-impact business strategies for senior stakeholders.
  • Advance Technical Excellence: Stay at the forefront of the evolving AI landscape (GenAI, ML, NLP) to keep our organization at the cutting edge.
  • Mentor and Guide: Act as a technical subject-matter expert, providing hands-on guidance on model selection and mentoring data science colleagues.

Who You Are

You are a visionary technical practitioner who thrives on turning complex organizational challenges into robust, scalable data science solutions. You bring a strong analytical mindset, a collaborative spirit, and a passion for using data to improve patient outcomes.

To be successful in this role, you bring:

  • Quantitative Foundation: Master’s or PhD degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field (or equivalent practical experience).
  • Deep Data Science Expertise: Proven professional experience building, deploying, and scaling machine learning models in Python, SQL, and modern AI frameworks.
  • Advanced Causal Inference & Modeling: Proven expertise in causal inference techniques (e.g., A/B testing, propensity score matching, synthetic controls) to isolate and measure true incremental business impact.
  • Cross-Functional Leadership: Demonstrated ability to lead complex data initiatives and collaborate effectively across diverse teams.
  • Stakeholder Impact: Exceptional communication skills with the ability to translate technical concepts into business value propositions.

Together, we’ll advance along the whole patient journey with the aspiration to prevent, stop, and cure diseases. Ready to make a lasting impact? Apply today and help us shape the future of healthcare!


 

 

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.

The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

How we rate this

Senior Data Scientist - AI & Machine Learning at Roche rates 90 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

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGML OpsNLPPythonMachine learningGenerative AIMLOpsCi Cd

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$169k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. What's a project where you used Python hands-on?
  5. Walk me through how you've used Machine learning in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, ML Ops, NLP, Python, 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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