---
title: 'Applied Data Science Manager at dunnhumby'
canonical: 'https://feeny.ai/job/applied-data-science-manager-dunnhumby-bentonville-6wm8xrs8zm0k'
type: 'job'
last_seen: '2026-11-05'
---

# Applied Data Science Manager at dunnhumby

- **Company:** dunnhumby
- **Location:** Bentonville, AR / Cincinnati, OH
- **Posted:** 2026-11-04
- **Last confirmed live:** 2026-11-05
- **Apply:** https://job-boards.greenhouse.io/dunnhumby/jobs/8083658003

## 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

As an Applied Data Science Manager, you'll lead a team of applied data scientists, turning complex problems into compelling insights using the best of dunnhumby science. You'll combine technical expertise, client understanding and people leadership to develop recommendations that resonate with clients and lead them to action.

You'll play an important role in connecting client strategy with advanced data science, ensuring your team delivers high-quality, timely work while identifying new opportunities to create value through our products, analytical techniques and science.

## What You'll Be Doing

- You'll lead both the people and the work, creating an environment where applied data science delivers clear commercial impact.
- Partner with Client Leads to shape annual client workplans around business needs and strategy, while allocating people and resources to deliver measurable, timely results.
- Lead your team in translating complex client challenges into compelling insights and recommendations, using advanced data science techniques to support executive decision-making and action.
- Build strong relationships with internal stakeholders and clients, ensuring the team clearly understands client challenges, growth strategies and agreed measures of success.
- Champion the reuse of dunnhumby science, modules and code, and guide the team in deploying data science algorithms and market products on the appropriate technology stack.
- Hire, mentor, motivate and retain a strong team of applied data scientists, while maintaining high standards for quality assurance, ways of working and coding.

## What We're Looking For

- You'll bring a combination of practical data science experience, strong leadership and the ability to connect sophisticated analysis with real customer and commercial outcomes.
- Experience applying advanced statistical models and machine learning algorithms to solve complex problems, alongside a practical approach to using data to create tangible customer impact.
- Experience handling large data volumes with modern processing tools such as Hadoop, Spark, SQL or Python.
- Strong data analysis, modelling and project management skills, with the ability to frame problems, test hypotheses and turn findings into clear recommendations.
- Strong client and stakeholder management skills, including the ability to present analytical methodologies, insights and solutions through effective storytelling.
- Experience leading and developing people, with an appreciation for product development, quality assurance and creating reusable, scalable data science solutions.

## 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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