Research Data Scientist

Job Title: Senior Research Data Scientist

Employer: dunnhumby

Location: Lancashire, United Kingdom

Employment Type: Permanent

Reference Number: 10826_ca089dadf3639196ca427aec181728cd

Job Details:

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. 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.

Joining our team, you’ll work with world‑class and passionate people to apply machine learning, statistical, optimisation and econometric methods to business problems. You’ll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You’ll also have the opportunity to present results to both internal teams and clients.

What you’ll be working on

• Developing innovative methods to exploit dunnhumby’s world‑class Price & Promotions capabilities
• Supporting our high‑performing Price & Promotions experts by implementing new capabilities with significant business impact
• Performing exploratory data analysis and model validation

What we expect from you

• Master’s degree / PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field
• Strong mathematical and statistical skills
• Experience with Python, Spark and SQL
• Experience implementing and validating a range of machine learning and optimisation techniques
• Effective scientific communication for varied audiences
• Autonomy and ownership of projects
• Good understanding of software engineering principles and best practices

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.