Applied Data Science Manager

• 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.

• 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.

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. 

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)