Applied Data Science Manager

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 dynamicApplied Data Science Manager to join the Tesco UK&I ADS team. Your goal will be to use science and data to create new commercially valuable solutions for CPGs. This is an exciting opportunity that will require you to work closely with our propositions teams to turn ideas into MVPs and scalable solutions.

What you’ll be working on

• Manage and lead a team of Data Scientists and Market Researchers taking accountability for quality and timeliness of deliverables and building a culture of quality, collaboration and experimentation.
• Shape and define the scope of new propositions in collaboration with the propositions and client teams identifying the science, data and analytical requirements. Translate commercial ideas into solution designs identifying where science, AI or new data sources can unlock differentiated value.
• Demonstrate a solutions mindset, alongside strong industry and capability knowledge, to take complex (and sometimes unclear) requirements and develop a pragmatic, realistic programme of work that leads to tangible results.
• Lead the development and delivery of Minimum Viable Products (MVPs) for new propositions. Rapidly test ideas through prototyping, experimentation, and iteration. Assess technical feasibility, scalability, and commercial viability of new solutions. Work cross-functionally to bring MVPs to life. Clearly articulate trade-offs to support decision making.
• Drive innovation in applied data science using advanced analytics, machine learning, and new data sources. Continuously explore and introduce new techniques to create new solutions/propositions.
• Collaborate across Global Data Science to bring the best of our science capability into CPG solutions now and in the future.
• Promote a culture of re-use of dunnhumby science, modules and code lines over re-invention, and in turn, package up any new solutions for re-use globally if possible.
• Manage risk effectively, provide visible and consistent leadership on Values and Code of Business Conduct and act where you see issues. Protect our team by ensuring they have the skills and training needed.

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.

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