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dunnhumby

Senior Applied Data Scientist

Location:  London
Hey there, we’re really sorry but this job is no longer available. Please take a look at our other roles, and check back again soon as we’re adding new roles all the time!

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Job Description

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 Retail Insight team, you’ll investigate, develop, implement and deploy a range of complex applications and components for our clients in Tesco, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them.

We work collaboratively with our client leadership team and with our clients , using all of the tools and techniques available to us to deliver insight and build solutions that are re-usable, scalable and deliver measurable value. You’ll drive change, shape innovative solutions, and actively redefine how organisations harness data.

What We’re Looking For

  • Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field.
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  • 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 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.

    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: Annual holiday allowance, public holidays, the option to purchase additional leave, loyalty days and a birthday day off.
    • 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).

    Working at dunnhumby

    3 office days / week

    Core hours 11–3

    Company employees:

    ~3000

    Hiring in countries

    Brazil

    Colombia

    India

    South Africa

    United Kingdom

    United States

    Office Locations

    Company benefits

    25 days annual leave + bank holidays
    Adoption leave
    Annual bonus
    Bank holiday swaps
    Bike parking
    Birthday off
    Book swaps
    Childcare credits
    Coaching
    Collaboration spaces
    Dental coverage
    Early finish Fridays
    Enhanced maternity leave
    Enhanced maternity leave
    Enhanced paternity leave
    Enhanced pension match/contribution
    Enhanced sick days
    Enhanced sick pay
    Ergonomic workstations
    Eye Care Support
    Faith rooms
    Family health insurance
    Fertility treatment leave
    Fertility treatment leave
    Hackathons
    Health insurance
    In house training
    L&D budget
    Language lessons
    Learning platform
    Life insurance
    Lunch and learns
    Meditation space
    Meditation space
    Menopause support
    Mental health platform access
    Mental health support
    Mentoring
    Modern office
    Neonatal leave
    On-site barista
    On-site catering
    On-site gym
    On-site massages
    On-site personal trainer
    On-site shower
    On-site wellness room
    On-site wellness services
    On-site yoga classes
    Open to job sharing
    Open to part time work for some roles
    Personal development days
    Pregnancy loss leave
    Pregnancy loss leave
    Pregnancy support
    Private booths
    Referral bonus
    Shared parental leave
    Women’s health leave
    Women’s health leave