Senior Applied Data Scientist (FTC until end of March 2026)

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 Senior Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside highly experienced and like-minded colleagues challenging and rewriting the rules, not just following them.

Responsibilities:

• Develop and deploy machine learning models using advanced algorithms to solve real-world business problems.
• Work with large-scale datasets to extract insights and drive decision-making.
• Collaborate with cross-functional teams and external stakeholders to understand requirements and deliver impactful solutions.
• Apply feature engineering and data transformation techniques to enhance model performance.
• Communicate complex technical concepts clearly to non-technical audiences.

What we expect from you:

• Proficiency in Python and PySpark.
• Proven understanding of statistical modelling and data confidence.
• Hands-on experience with machine learning techniques such as classification and regression.
• Solid foundation in data engineering and reporting.
• Proven ability to manage and analyse large datasets in accordance with big data best practices.
• Strong stakeholder management and communication skills.
• Commercial acumen and ability to translate data insights into business value.
• Strong command of Microsoft Office Suite.

Preferred:

• Background in Retail or Financial Services is highly desirable.

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)