---
title: 'Senior Applied Data Scientist at dunnhumby'
canonical: 'https://feeny.ai/job/senior-applied-data-scientist-dunnhumby-london-9f6yrvpeb2he'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Applied Data Scientist at dunnhumby

- **Company:** dunnhumby
- **Location:** London, United Kingdom
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/dunnhumby/jobs/7799176003

## 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 https://www.dunnhumby.com/recruitment-privacy-notice/

## About dunnhumby

## Company Overview
- **One-liner**: dunnhumby is a global Customer Data Science company that helps retailers and brands make faster, better decisions by combining customer data, AI-driven science, and decades of retail expertise.
- **Entity Type**: Private (subsidiary of Tesco PLC)
- **Headquarters**: United Kingdom (London area)
- **Founded**: 1989
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: Customer Data Science, Retail Analytics, Loyalty & Personalisation, Retail Media, Category Management
- **Target customers**: B2B – retailers (e.g., Tesco, Meijer, Metro) and consumer packaged goods (CPG) brands (e.g., Coca‑Cola, Procter & Gamble, L’Oréal) – from small businesses to global enterprises.
- **Mission or purpose statement**: “To enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers.” [dunnhumby.com](https://www.dunnhumby.com/wp-content/uploads/2024/11/dh-WhoWeAre-OnePager.pdf)

## Products & Services
dunnhumby delivers a combination of technology, software, consulting, and media. Key offerings include:

- **Category Management**: Data‑driven insights to optimise ranging, pricing, and merchandising decisions.
- **Loyalty & Personalisation**: Tailored experiences that increase engagement and repeat purchases.
- **Retail Media**: Helps brands and retailers connect with customers through personalised, measurable campaigns.
- **Supplier Collaboration**: Tech‑enabled joint business planning for mutual growth.
- **Customer Data & AI Strategy**: Proven frameworks to leverage customer data for business transformation.
- **Price & Promotions**: Optimisation and forecasting to put customers first while improving profitability.

All of these are powered by the **dunnhumby Customer Data Science Platform** – a proprietary mix of technology, software, and consulting. [dunnhumby.com](https://www.dunnhumby.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (wholly owned by Tesco PLC)
- **Key Metric**: Annual revenue of **£362.6 million** (LinkedIn, 2025 data) with **2,362 employees** (+6% YoY).
- **Notable Investors/Partners**: Parent company **Tesco PLC**; key clients include **Coca‑Cola, Meijer, Procter & Gamble, L’Oréal, Metro**.
- **Growth Signals**:
  - Operates in **33 countries** across Europe, Asia, Africa, and the Americas.
  - **70 active job postings** (as of mid‑2025), with a +29.6% monthly increase in job postings.
  - New **CEO Jamie Samaha** appointed effective July 20, 2026, signalling a strategic refresh.
  - 6% employee headcount growth year‑over‑year.

## Competitive Advantages
- **30+ years** of dedicated retail customer data science experience.
- **500+ data analysts and scientists** and partnerships with leading academic institutes. [dunnhumby.com PDF](https://www.dunnhumby.com/wp-content/uploads/2024/11/dh-WhoWeAre-OnePager.pdf)
- Proprietary **Customer Data Science Platform** that uniquely combines technology, software, consulting, and media.
- Deep, long‑standing relationships with the world’s largest retailers and CPGs (e.g., Tesco since inception).
- AI‑driven science built on real loyalty data, providing a moat in personalisation and category optimisation.

## Strategic Focus
- Expanding **Retail Media** as a new revenue stream for retailers.
- Embedding **AI and machine learning** deeper into decision‑making tools.
- Continuing global expansion – especially in the Americas and Asia.
- Strengthening **supplier collaboration** and joint business planning capabilities.
- Driving a **unified data strategy** for clients (e.g., a case study showing an additional $3M in annual profit for a fast‑food retailer). [dunnhumby.com](https://www.dunnhumby.com/)

## Why Work Here
- **Culture**: Strong emphasis on diversity, equity & inclusion with employee network groups (dhThrive for wellbeing, dhEnabled for disabilities, Proud for LGBTQ+, Gender Equality). Named “Gender Equality Champion” and “Top 20 Accelerating Women’s Careers” in 2026.
- **Values**: “Champion the customer behind the data”, “Treat people how they want to be treated”, “Collaborate for impact”, “Own your part”, “Stretch the thinking.”
- **Work environment**: Not explicitly labelled remote/hybrid, but global offices and a Technology & Product team of 672 suggest flexibility. LinkedIn ratings show a **4.3/5** employer score with high marks for work‑life balance (4.5) and culture (4.4).
- **Engineering & data science culture**: 672 technical employees and 377 in research; active hiring for Senior AI Software Engineer, Applied Data Scientist, and Data Science Engineer roles. The company uses AI in hiring for fairness (human final decisions) and encourages candidates to use AI tools in applications.
- **Notable perks**: Emphasis on skills‑based hiring; partnerships with Code First Girls to open tech careers; mental health support through dhThrive.

## Sources
1. [dunnhumby.com – Main site](https://www.dunnhumby.com/)
2. [dunnhumby.com – Careers page](https://www.dunnhumby.com/careers/)
3. [dunnhumby.com – Culture page](https://www.dunnhumby.com/our-culture/)
4. [LinkedIn – dunnhumby company page](https://www.linkedin.com/company/dunnhumby)
5. [dunnhumby.com – Who We Are PDF](https://www.dunnhumby.com/wp-content/uploads/2024/11/dh-WhoWeAre-OnePager.pdf)

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