dunnhumby
Senior Applied Data Scientist
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Applied Data Scientist
London | Full-time | Hybrid
About dunnhumby
dunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers.
Applied Data Science
Our Applied Data Science team turns dunnhumby’s analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail — from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce is grounded in real customer data and built to make a measurable difference.
About the Role
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We’re Looking For
- 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.
You'll Thrive If You…
- Enjoy balancing technical depth with commercial impact.
- Like exploring new analytical approaches and challenging established thinking.
- Take ownership of complex problems and see them through to delivery.
- Are motivated by helping others develop and succeed.
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.
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 your recruiter know what adjustments would help.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
UK Benefits
- Healthcare & Protection: Flexible allowance, private medical insurance through Vitality, life assurance, partner life assurance, income protection and critical illness cover.
- Pension: Aviva pension scheme with up to 7.5% employer matching.
- Wellbeing: Access to the Wellness Hub and confidential employee assistance support services.
- Lifestyle Benefits: Car leasing, Cycle to Work scheme, technology purchase options and additional voluntary benefits.
- Time Off: 25 days' holiday plus public holidays, option to buy up to 5 additional days, early finish Fridays, loyalty days and a day off for your birthday.
- Additional Recognition: Long service awards and Talent Scout referral rewards.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location