---
title: 'Applied Data Science Manager at dunnhumby'
canonical: 'https://feeny.ai/job/applied-data-science-manager-dunnhumby-sao-paulo-dm53dkeffeg6'
type: 'job'
last_seen: '2026-09-10'
---

# Applied Data Science Manager at dunnhumby

- **Company:** dunnhumby
- **Location:** São Paulo, Brazil
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/dunnhumby/jobs/7919992003

## 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 an Applied Data Science Manager who expects more from their career. You will be based in our São Paulo office, leading and developing a team of Applied Data Scientists across Brazil and India. In this role, you will leverage the best of data science, advanced analytics, AI, and human creativity to transform complex business challenges into compelling insights and impactful solutions for retailers and CPG companies.

This is an exciting opportunity to work directly with clients to help them identify the right problems and shaping, scoping, and successfully delivering our services and solutions to them through AI and data science while working alongside super-smart colleagues across dunnhumby, challenging and rewriting the rules, not just following them

## What You'll Be Working On

- Lead, develop, and inspire a team of Applied Data Scientists, fostering a high-performance culture built on quality, collaboration, continuous learning, experimentation, and accountability.
- Act as a trusted advisor to clients and internal stakeholders, communicating complex analytical concepts clearly and influencing decision-making through evidence-based insights.
- Partner with client and internal teams to shape and scope new opportunities, translating commercial challenges into scalable data science, analytics, and AI solutions that deliver measurable business value.
- Apply agile ways of working to plan, prioritize, and deliver analytics and data science initiatives, promoting collaboration, iterative development, continuous improvement, and effective delivery.
- Collaborate with global teams to bring the best of dunnhumby's science capabilities to clients leveraging advanced analytics, machine learning, AI, and emerging data sources to develop innovative and differentiated solutions that drive measurable business impact.
- Promote and scale a culture of reuse by leveraging existing dunnhumby science assets, frameworks, modules, and code wherever possible, while packaging new innovations for adoption across global markets.

## What We Expect From You

- Proven experience leading, coaching, and developing teams, fostering a collaborative, inclusive, and high-performing culture.
- Demonstrated success managing the end-to-end delivery of analytics and data science initiatives, with a strong focus on quality, scalability, and reusability.
- Knowledge of agile methodologies and experience applying agile principles to deliver analytics, data science, or technology projects.
- Stakeholder management and communication skills, with the ability to influence and build trusted relationships.
- A structured and analytical approach to problem-solving, capable of translating complex business challenges into pragmatic and actionable solutions.
- Knowledge of customer behavior and insights, category management, pricing, promotions, loyalty programs, and retail media within pharmacy and health-related retail environments.
- Strong foundation in statistics, machine learning, and advanced analytical techniques.
- Experience with modern data science and big data technologies, including Python, SQL, Spark, Hadoop, and AI-enabled tools and platforms.
- Curiosity and enthusiasm for emerging AI technologies.
- Advanced English and Portuguese proficiency.

## 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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