Applied Data Scientist

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 an Applied Data Scientist who thrives on solving complex problems and delivering impactful, data-driven solutions. This role is an opportunity to combine the best of machine learning, analytical thinking, and human creativity to unlock insights and drive meaningful change for our clients.

As part of our advanced data science team, you’ll work alongside brilliant colleagues, developing and deploying cutting-edge ML models and analytical applications. Here, we don’t just follow the rules—we challenge and rewrite them.

What You’ll Do

• Develop, implement, and deploy data science solutions to drive business impact.
• Work with large-scale datasets, using tools like Python, SQL, and PySpark (preferred) to extract insights efficiently.
• Apply Machine Learning and Statistical Modeling to solve real-world problems.
• Create compelling data visualizations and translate findings into actionable recommendations for stakeholders.
• Collaborate with cross-functional teams to ensure data-driven decision-making.
• Communicate insights effectively through storytelling and stakeholder management.

What We’re Looking For

• Degree in Engineering, Statistics, Mathematics, or Analytics (or equivalent experience).
• Proficiency in Python and SQL; experience with PySpark is a plus.
• Strong foundation in Machine Learning and Statistical Modeling.
• Experience in data visualization (Power BI preferred) and storytelling.
• Problem-solving mindset with the ability to break down complex challenges.
• Strong collaboration and stakeholder management skills.
• Familiarity with version control systems, particularly Git and GitHub, for managing and collaborating on code.

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 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. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. 

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)