Location
London

Hours
Full Time

Salary
Competitive salary package

About the Role
dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. With nearly 2,500 experts across Europe, Asia, Africa, and the Americas, we work with transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever, and Metro.

Joining our Customer Data Science team, you will work with world-class and passionate people to create reusable science modules, ensuring they are productionised, robust, and available to the business. You will contribute to the research and implementation of new approaches to address complex problems and explore changes to process and tooling to enable research at scale.

Your responsibilities will include designing, building, and owning standalone, reusable Python packages that deliver novel data science solutions fundamental to best-in-class global products and services. You will build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches. Translating stakeholder requirements into robust, production-ready solutions and collaborating cross-functionally will be key. Additionally, you will mentor junior team members to raise engineering capability and impact.

At dunnhumby, you will enjoy a comprehensive rewards package typical of a leading technology company, combined with personal flexibility such as flexible working hours and your birthday off. We invest in cutting-edge technology reflecting our global ambition while maintaining a nimble, small-business feel that encourages experimentation and learning. We are committed to diversity and inclusion, demonstrated by thriving networks such as dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled, and dh Thrive.

We strive to create an inclusive culture where you can balance a successful career with your commitments and interests outside of work. We are open to discussing agile working opportunities during the hiring process to support your work/life balance.

Experience
- Designing and delivering production-grade analytical Python solutions
- Working with relational databases and SQL-like operations
- Understanding machine learning techniques such as regularised regression, clustering, or tree-based ensembles, with experience applying them using packages like Pandas, sci-kit-learn, and SciPy
- Processing big data, ideally in a Hadoop/Spark environment (beneficial)
- Implementing CI/CD and DevOps practices to improve deployment reliability, testing standards, and release processes

About you
- Passionate about data science and engineering with a collaborative mindset
- Able to translate stakeholder requirements into robust, production-ready solutions
- Skilled at mentoring junior team members to enhance team capability and impact
- Comfortable working in a fast-paced, innovative environment with a global outlook

Qualifications
- Relevant degree or equivalent experience in data science, computer science, engineering, or related fields preferred
- Strong programming skills in Python and familiarity with data science libraries and tools