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Applied Data Science Manager

1 month ago

Auckland, New Zealand Engineeringuk Full time

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First.
We're looking for an Applied Data Science Manager who expects more from their career. You will manage and lead a team of Applied Data Scientists and apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you will investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.
Key responsibilitiesWork with Client Leads to develop annual client workplan tailored to their business needs and overarching business strategy.Manage and allocate resources and people to maximise productivity and deliver measurable and timely results.Help the team to build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, their growth strategy and agreed measures of success for the project.Promote a culture of re-use of dunnhumby science, modules and code lines over re-invention, utilising the most appropriate tool for project delivery.Manage the team of Applied Data Scientists to deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.Spot opportunities to grow client engagement by proactively solving client's strategic questions, using a mix of products and advanced data science techniques that support executive decision making and call to action.Participate in client meetings, as required, to present methodology and solutions through effective story telling techniques and help influence client decision making.Work closely with the global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering.Hire, mentor, motivate and retain a strong team of applied data scientists who live the dunnhumby values.What we expect from youDegree in Engineering, Statistics, Maths, Physics, Economics or similar fieldProgramming skills (Python, Pyspark, R, SQL)Logical thinking and approach to problem solvingStrong communication skills and stakeholder managementTeam management experienceAnalytical Techniques and Technology8+ years of experience working in a global company/professional services firmWhat you can expect from usWe 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 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.
Our approach to Flexible WorkingAt 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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