dunnhumby

About the Company

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers.

With deep heritage and expertise in retail — one of the world’s most competitive markets, with a deluge of multi-dimensional data — dunnhumby today enables businesses all over the world, across industries, to be Customer First.

The dunnhumby Customer Data Science Platform is our unique mix of technology, software and consulting enabling businesses to increase revenue and profits by delivering exceptional experiences for their Customers – in-store, offline and online. dunnhumby employs over 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble, Raley’s, and L’Oréal.

Listed Jobs

Company Name

dunnhumby

Job Title

Associate Data Scientist - Graduate Programme

Job Description

**Job Title:** Associate Data Scientist – Graduate Programme **Role Summary:** A 12‑month rotational graduate programme that alternates between Applied Data Science and Data Science Engineering. Participants develop analytical solutions, generate insights, and build scalable data products for diverse retail and brand clients. The programme nurtures technical, analytical, and stakeholder‑management skills, culminating in a comprehensive understanding of end‑to‑end data science workflows. **Expectations:** - Undergraduate degree (or equivalent) with a 2.1 or higher in a STEM or numerate discipline (Engineering, Mathematics, Computer Science, Statistics, Data Science, Chemistry, Physics, Economics, etc.). - Proven ability to apply a range of analytical techniques to solve business problems. - Strong logical reasoning and problem‑solving aptitude. - Excellent written and verbal communication, including presentation skills. - Demonstrated ability to build and maintain collaborative relationships across teams. **Key Responsibilities:** - Conduct data‑driven projects as an Applied Data Scientist: data exploration, feature engineering, model development, and insights communication. - Design and develop data science engineering solutions: build reusable pipelines, APIs, and dashboards to support internal and client-facing products. - Collaborate with cross‑functional teams (data engineers, product managers, clients) to understand objectives and deliver actionable outcomes. - Iterate on modelling approaches, conduct model validation, and monitor performance over time. - Participate in knowledge‑sharing sessions and contribute to the programme’s continuous improvement. **Required Skills:** - Statistical analysis and machine‑learning techniques. - Programming proficiency in Python (pandas, scikit‑learn, scikit‑surprise, etc.) and SQL. - Experience with data manipulation, visualization (Matplotlib/Seaborn/Plotly), and reporting tools. - Familiarity with data pipeline construction and version control (Git). - Strong analytical thinking and hypothesis‑driven approach. - Effective communication and presentation abilities. - Team‑oriented mindset and relationship‑building skills. **Required Education & Certifications:** - Bachelor’s (or equivalent) degree, 2.1 grade or higher, in a STEM or numerate field (Engineering, Mathematics, Computer Science, Statistics, Data Science, Chemistry, Physics, Economics, or related discipline). - No mandatory certifications, but knowledge of data‑science or analytics certifications (e.g., Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate) is a plus. ---

London, United kingdom

Hybrid

Junior

09-01-2026

Company Name

dunnhumby

Job Title

Senior Legal Counsel –Technology, AI & Procurement

Job Description

Job Title: Senior Legal Counsel – Technology, AI & Procurement Role Summary: Provide senior legal leadership on technology, artificial intelligence, data protection, and procurement matters. Draft, negotiate, and advise on commercial, licensing, data processing, and AI agreements while collaborating with cross‑functional teams and C‑suite stakeholders. Manage a direct report and contribute to the evolution of legal processes and policies. Expectations: - Obtain full solicitor qualification and possess several years of post‑qualification experience. - Demonstrate strong commercial, IP, data protection, and privacy law expertise with a focus on technology, AI, and procurement. - Exhibit proven in‑house experience in a technology‑heavy organization, ideally with global exposure. - Maintain effective stakeholder management and communication skills, delivering concise, risk‑aware solutions. Key Responsibilities: 1. Lead all legal support for technology, AI, and procurement across the organization. 2. Draft, review, negotiate, and advise on SaaS, software licensing, data processing, reseller/introducer, and AI‑related contracts. 3. Counsel stakeholders on AI, data protection, and emerging technology regulatory developments in partnership with Privacy, Data, and Security functions. 4. Act as the day‑to‑day liaison with Procurement and collaborate with Tech, Data Science, Corporate Development, Risk, and Compliance, including C‑suite interactions. 5. Manage and develop a direct report, fostering growth and legal excellence. 6. Define and continuously improve legal vision, policies, processes, and standards for the technology and procurement domain. Required Skills: - Deep knowledge of commercial, IP, data protection, privacy, outsourcing, and procurement law. - Strong background in technology contracts and AI regulatory frameworks. - Experience with cross‑functional project management and complex process implementation. - Excellent stakeholder engagement, negotiation, and communication abilities. - Ability to simplify intricate legal matters and deliver timely, risk‑aware outcomes. - Collaborative mindset with passion for legal technology and innovation. Required Education & Certifications: - Qualified solicitor (UK or equivalent). - Minimum of 3‑5 years post‑qualification experience in relevant legal fields. - Preferable advanced training or foundational experience from a leading technology or commercial law firm.

London, United kingdom

Hybrid

Senior

29-01-2026