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 (here)
Skills Required
- Experience leading, coaching, and developing teams in a collaborative, inclusive, high-performing environment
- Experience managing end-to-end delivery of analytics and data science initiatives
- Knowledge of agile methodologies and experience applying agile principles to analytics, data science, or technology projects
- Strong stakeholder management, communication, influencing, and relationship-building skills
- Structured and analytical problem-solving skills, including translating business challenges into actionable solutions
- Knowledge of customer behavior and insights, category management, pricing, promotions, loyalty programs, and retail media in pharmacy and health-related retail environments
- Strong foundation in statistics, machine learning, and advanced analytical techniques
- Experience with Python, SQL, Spark, Hadoop, and AI-enabled data science tools and platforms
- Curiosity and enthusiasm for emerging AI technologies
- Advanced English and Portuguese proficiency
dunnhumby Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dunnhumby and has not been reviewed or approved by dunnhumby.
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Fair & Transparent Compensation — Pay is considered competitive relative to similar-sized firms in several markets. Positive perceptions of the overall pay-and-benefits mix support the view that compensation is broadly fair.
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Leave & Time Off Breadth — Paid time off is described as generous, with multi‑week starting allowances plus extras like a paid birthday, loyalty‑based additional days, and periodic early Friday finishes. These features contribute to a favorable time‑off experience across several U.S. locations.
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Healthcare Strength — Core coverage includes employer‑verified medical, dental, vision, life, and disability insurance alongside HSA/FSA options. This breadth of coverage is positioned as a solid component of the U.S. package.
dunnhumby Insights
What We Do
Dunnhumby is a customer data platform that provides models and insights into how customers engage with retail and e-commerce spaces.
