AI Data Scientist
hackajob is collaborating with Tesco to connect exceptional tech professionals for this role.
Location: London, England, United Kingdom.
About the Role
At Tesco, the 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. 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.
Responsibilities
* Build intelligent systems that go beyond prediction—systems that can reason, act, and adapt to real-world challenges.
* Work across the full lifecycle of AI projects, using LLMs and agentic AI techniques to develop practical solutions for business problems.
* Design AI systems that are technically sound, scalable, and safe while keeping business constraints in mind.
* Collaborate closely with stakeholders to understand their needs and translate them into effective AI solutions.
* Communicate clearly, document work, present results to non‑technical audiences, and support product managers and lead scientists.
* Shape how agentic AI is applied across different areas, ensuring systems can make decisions independently while staying within safe and defined boundaries.
* Share work with the broader AI community and contribute to internal knowledge sharing.
Qualifications
* Broad understanding of LLM architectures, training methodologies, and usage patterns.
* Practical experience applying LLMs, including managing context windows effectively, selecting appropriate models, implementing safety guardrails and alignment techniques, and decomposing complex tasks into model‑friendly components.
* Strong experience 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.
Values
* Actively engaged in learning and staying current with developments in AI and machine learning.
* Curious, adaptable, and committed to continuous improvement.
* Focused on delivering practical, scalable, and responsible AI solutions.
Benefits
* Annual bonus scheme of up to 20% of base salary.
* Holiday starting at 25 days plus a personal day (plus bank holidays).
* Private medical insurance.
* 26 weeks maternity and adoption leave (after 1 year of service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay; 4 weeks fully paid paternity leave.
* Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
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