Senior Research Data Scientist

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.

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.

We’re looking for a talented Senior Research Data Scientist who expects more from their career. It’s a chance to extend and improve dunnhumby’s world class science capabilities. It’s an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers and suppliers.

Joining our team, you’ll work with world class and passionate people to apply statistical techniques and marketing science to business problems, especially demand forecasting, clustering, and measurement. You’ll support Price and Promotion experts by developing mathematical models, creative methods to address new and complex problems and perform data analysis and model validation. You will also develop innovative solutions for product support and insight using generative AI. You’ll create dunnhumby science solutions that can be delivered across our client and engineered into science modules. You’ll have the opportunity to present results to a variety of internal stakeholders.

What you’ll be doing

• Create new science-based solutions that can be captured as science modules and applied across clients, with support from senior team members.
• Pick up new machine learning approaches, such as regularised regression, clustering or tree-based ensembles, graph-based approaches, natural language processing and neural network techniques and apply them on client data.
• Perform exploratory data analysis to characterise and visualise datasets
• Extend and develop programming skills, in languages such as Python and Spark, to develop efficient science code for science modules.
• Help identify new opportunities within the Data Science space for future dunnhumby solutions.
• Implement advice from colleagues to resolve challenges.
• Follow Quality Assurance processes, ways of working and meet coding standards.
• Ensure smooth running of your projects, working with senior team members for direction.
• Build strong relationships within the team and with internal stakeholders, ensuring clear and effective communication.

Who you’ll get to work with

• Applied and Research Data Scientist teams
• Data Science Engineering teams
• Product and Client teams where required

What we expect from you

• Master’s degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or related field.
• Experience with machine learning techniques such asregularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
• Experience with Python programming, and handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
• Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with data visualisation technologies.
• A willingness to present your work to both technical and non-technical audience and to contribute to the wider data science community.

A plus if you also have

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or related field.
• Experience in retail sector.

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

Diversity and Inclusion

At dunnhumby, we utilise our diversity of thought as our competitive edge.

We are proud of our diversity and committed to making dunnhumby an even more inclusive place to work that we can be proud of.

Our diversity and inclusion work is designed to cultivate a culture of belonging, where every dunnhumbian feels safe to bring their whole self to work, where everyone is welcome and we practice what we preach.

We have a full D&I strategy to implement this long‑term behaviour change; in addition, we have five employee‑led network groups to support colleagues in the areas of gender, sexual orientation, multiculturalism, mental health and wellbeing, and family.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here).

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