Senior AI Data Scientist

WeAreTechWomen; Welwyn Garden City; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading retail company is looking for a Senior AI Data Scientist to join their innovative Data Science team. This role emphasizes the end-to-end ownership of LLM systems, from rapid prototyping to production. The ideal candidate should possess practical experience in applying LLMs and be skilled in evaluating data pipelines. The company values diversity and inclusion, fostering a collaborative environment that balances work-life needs. Offering a hybrid working pattern, they aim to create a workplace where every individual can thrive.

Benefits

Flexible working patterns

Continuous learning opportunities

Inclusive workplace culture

Qualifications

• Experience managing context windows effectively for LLMs.
• Proficient in selecting appropriate models for tasks.
• Skilled in implementing safety guardrails and alignment techniques.
• History of decomposing complex tasks into model-friendly components.
• Capable of explaining complex concepts to non-technical audiences.

Responsibilities

• Design and ship production-grade LLM systems.
• Create prototypes and transition them into production.
• Solve cross-cutting pain points with build-vs-buy decisions.
• Foster a culture of learning and promote best practices in AI.
• Collaborate across various disciplines including software engineering and UX design.

Skills

Practical experience applying LLMs

Understanding LLM architectures

Evaluating data pipelines

AI-specific evaluation methods

Solution-oriented problem-solving

Effective communication

Guiding junior team members

Influencing decision-making

Job description

At Tesco, our Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning, generative AI, and large language models (LLMs) to personalise customer experiences, optimise operations and drive innovation. We work across several business domains, including customer experience, online, fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact.

We foster a culture of continuous learning, dedicating 10% of the working week to personal development. Our team benefits from academic partnerships, regular knowledge‑sharing events and a collaborative, inclusive environment that values work‑life balance and professional growth.

We are seeking a Senior AI Data Scientist to operate within a fast‑pacing team, to create new customer growth.

Expect end‑to‑end ownership‑rapid experimentation, fast shipping, and leaning in wherever the work takes you, beyond your job title. If you're ambitious, hard‑working, and excited to build 0→1 against tall ambitions, you'll thrive here.

You will be designing and shipping production‑grade LLM systems and shared platform capabilities that power experiences for millions, solving cross‑cutting pain points with smart build‑vs‑buy decisions. You'll work end‑to‑end‑from rapid prototypes to production code‑accelerating GenAI use cases across the business.

While existing knowledge is valuable, a strong ability to learn quickly and apply new skills effectively is essential. The ideal candidate will be solution‑oriented, eager to stay current with the latest developments, and comfortable in a fast‑paced environment with ample room for creativity and problem‑solving.

• Practical experience applying LLMs, including:
  • Managing context windows effectively
  • Selecting appropriate models for specific tasks
  • Implementing safety guardrails and alignment techniques
  • Decomposing complex tasks into model‑friendly components
• In‑depth understanding of LLM architectures, training methodologies, and usage patterns.
• Strong experience in evaluating and validating data pipelines and ML systems.
• Familiarity with AI‑specific evaluation methods, including both quantitative metrics and qualitative assessments.
• Ability to make well‑reasoned decisions grounded in technical understanding and real‑world constraints.
• Pragmatic approach to experimentation and solution design.
• Proven ability to understand complex business challenges and translate them into actionable AI solutions.
• Track record of explaining complex technical concepts in a clear, concise manner to non‑technical audiences, including senior stakeholders and business leaders.
• Experience guiding junior team members, fostering a culture of learning, and promoting best practices in AI.
• Ability to work effectively with colleagues from diverse disciplines, such as software engineering, UX design, data analysis, product management, and business leadership.
• Skilled at influencing decision‑making and gaining buy‑in, even in ambiguous or challenging environments.

Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full‑time & part‑time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.