About this role
Salary: £95,000 - 95,000 per year
Requirements: Experience designing and delivering production-grade analytical Python solutionsExperience working with relational databases and SQL-like operationsUnderstanding of machine learning techniques such as regularised regression, clustering, or tree-based ensemblesExperience applying machine learning with packages like Pandas, scikit-learn, and SciPy is highly beneficialExperience processing big data, ideally in a Hadoop/Spark environment, is beneficialProven experience implementing CI/CD and DevOps practicesAbility to improve deployment reliability, testing standards, and release processes Responsibilities: Design, build, and own standalone, reusable Python packages that surface novel data science solutionsCreate production-ready tools and modules that support best-in-class global products and servicesBuild processes and tools to support research into global science methods, including visual dashboardsTranslate stakeholder requirements into robust, production-ready solutionsCollaborate cross-functionallyMentor junior team members to raise engineering capability and impact Technologies: Big DataCI/CDDevOpsHadoopSupportMachine LearningPythonSQLSparkpandasNetwork More:
We are partnering directly to hire for our Customer Data Science team at dunnhumby, the global leader in Customer Data Science. We work with ambitious retailers and brands to put the customer at the heart of every decision, combining deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value. We employ nearly 2,500 experts across Europe, Asia, Africa, and the Americas, supporting iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever, and Metro. We offer a comprehensive rewards package, flexible working hours, your birthday off, investment in cutting-edge technology, and a nimble, small-business feel that encourages experimentation and learning. We value diversity, inclusion, and flexible working, and we are committed to creating an environment where our people can balance a successful career with life outside work.
last updated 33 week of 2026