Senior Research Data Scientist
at dunnhumby
London
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.
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, Meijer, Procter & Gamble and Metro.
We’re looking for a talented Senior Research Data Scientist who expects more from their career. You will be at the forefront of dunnhumby’s research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and state‑of‑the‑art AI algorithms. Joining our research data science team, you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. You will learn from experts and grow your career in our organisation.
What we expect from you
* A relevant degree in a statistical, mathematical, or related discipline.
* Strong knowledge of statistical and mathematical methodologies, including forecasting, regression, linear models, time series analysis, hypothesis testing, and optimization.
* Proven ability to prototype solutions using Python and Spark, enabling development and testing of algorithms on large-scale datasets.
* Solid understanding of machine learning techniques and their applications in classification, prediction, and clustering.
* Expertise in experimental design methodologies.
* Hands‑on experience implementing at scale deep learning based solutions, including the use of frameworks such as PyTorch.
* Familiarity with transformer based models. Direct experience building and training these would be a plus.
* Ability to research and apply the latest machine learning approaches.
* Strong grasp of Object‑Oriented Programming principles.
* Effective stakeholder management and communication skills.
* Experience developing solutions in areas such as Causal AI or Generative AI.
* Able to work quickly and independently with new tools and new subjects based on project needs.
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.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
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.
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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