Role Overview
Dunnhumby is hiring a Senior Applied Data Scientist. This is a full-time role in London. Part of Dunnhumby's Data Science hiring, posted 4 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Senior-level Data Science roles is $160k-$214k (based on 41 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
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 Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients.
Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.
Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value. You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data.
What we expect from you
- Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field
- Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous
- Experience with version control tools (e.g. GIT)
- Solid understanding of analytical technologies, tools, and techniques
- Excellent logical thinking and problem‑solving abilities
- Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences
- Proven experience in statistical modelling and applying data science solutions to real client problems
- A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact
- Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment
- Background in retail analytics (especially exposure to Category Management) is advantageous
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)
About Dunnhumby
Dunnhumby
dunnhumby.com
41 other open roles at Dunnhumby on TryApplyNow.
Frequently Asked Questions
How do I apply for the Senior Applied Data Scientist position at Dunnhumby?
Use the Apply button above to submit your application directly to Dunnhumby. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Applied Data Scientist position at Dunnhumby located?
This position is based in London. Dunnhumby has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Applied Data Scientist at Dunnhumby earn?
Dunnhumby has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Applied Data Scientist role at Dunnhumby posted?
This role was posted on July 8, 2026 (4 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Applied Data Scientist role at Dunnhumby require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Dunnhumby lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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