Sainsbury's

About the Company

Over 150 years old and still going strong, we’re the UK’s second-biggest retailer. Every day, the nation shops with us because they know they’ll get affordable, good food and excellent service.

We focus on great value and convenient shopping across our family of brands, from Argos, Nectar and Habitat to Sainsbury’s Bank, Smart Charge and Tu.

What’s next for Sainsbury’s?

We've put food back at the heart of our business and we’re taking Sainsbury’s to the next level. We’re investing in technology and people and we’re thinking bigger about how we attract and connect with our customers, while doing everything we can to create a more resilient UK food system.

Listed Jobs

Company Name

Sainsbury's

Job Title

Head of AI Centre of Excellence

Job Description

**Job title**: Head of AI Centre of Excellence **Role Summary**: Lead the enterprise AI Center of Excellence (AI COE) to operationalise the organisation’s AI strategy. Own AI governance, ethics, risk compliance, and AI literacy programmes, partnering with Product, Technology, Data & Analytics, Risk, and Legal. Drive AI adoption, value realisation, and cultural change across business units while ensuring alignment with UK and EU AI regulations. **Expectations**: - Deliver measurable AI adoption, compliance, and commercial value. - Create and enforce AI governance frameworks and ethical standards. - Foster a culture of responsible AI innovation and continuous learning. - Influence senior leadership and shape organisational culture around AI. **Key Responsibilities**: - Design and implement AI governance, assurance, and ethical frameworks; maintain enterprise AI Register. - Lead AI literacy and adoption programmes across the organisation. - Partner with Engineering & Architecture to develop scalable AI platforms, MLOps standards, and model lifecycle management. - Govern responsible experimentation with emerging technologies (Generative AI, agentic systems). - Ensure compliance with UK and EU AI Acts and other regulatory requirements. - Measure and report on AI adoption, value delivery, and cultural impact. **Required Skills**: - Senior leadership in AI, data, or technology within large complex organisations. - Proven experience in AI transformation, Centre of Excellence leadership, and cross‑functional governance. - Deep knowledge of AI/ML platforms, MLOps, and model lifecycle management. - Expertise in AI ethics, risk management, and regulatory compliance. - Strong stakeholder influence, communication, and change‑management abilities. - Inclusive, empowering leadership style. **Required Education & Certifications**: - Advanced degree (Bachelor’s or higher) in Computer Science, Data Science, AI, or related field. - Professional certifications in AI, data science, or project management are a plus.

London, United kingdom

On site

05-02-2026

Company Name

Sainsbury's

Job Title

Associate Data Scientist

Job Description

**Job Title** Associate Data Scientist **Role Summary** Assist in building and refining data pipelines and predictive models to support measurement and optimisation of marketing performance within a large retail loyalty programme. Collaborate with analysts, engineers, product managers, and stakeholders to deliver actionable insights using advanced data‑science techniques. **Expectations** - Deliver clean, scalable data solutions using Python and SQL. - Apply statistical and machine‑learning methods (regression, classification, clustering, experiment design). - Communicate findings clearly to both technical and non‑technical audiences. - Participate in code reviews, version control, and best‑practice coding standards. - Work independently and mentor junior analysts when required. **Key Responsibilities** - Extract, transform, and load (ETL) data from multiple sources into analytical platforms. - Develop and validate data models, including causal inference and multi‑touch attribution where applicable. - Contribute to the design and maintenance of data pipelines for marketing analytics. - Draft and maintain clear documentation of code, data schemas, and analysis workflows. - Collaborate with cross‑functional teams to define measurement frameworks and key performance indicators. - Stay current with emerging data‑science tools and techniques and recommend adoption. **Required Skills** - Proficient Python (pandas, scikit‑learn, SQLAlchemy). - Strong SQL scripting for relational databases. - Experience in data modelling, statistics, or machine‑learning projects. - Familiarity with cloud platforms (AWS, Azure, or similar). - Knowledge of version control (Git) and collaborative coding practices. - Ability to communicate complex insights in a business context. - Commitment to data quality, governance, and responsible data usage. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field. - Additional certifications in cloud, data‑engineering, or advanced analytics are advantageous but not mandatory.

London, United kingdom

On site

18-03-2026