Applied Data Science Manager

dunnhumby; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

dunnhumby, a global leader in Customer Data Science, seeks an Applied Data Science Manager to lead a team focusing on promotional planning. The role involves managing data science deliverables, engaging with internal and external stakeholders, and enhancing product offerings. This position offers a competitive salary, a flexible working environment, and opportunities for personal growth.

Benefits

Flexible working hours

Birthday off

Qualifications

• Degree in Statistics, Maths, Physics, Economics or similar field required.
• Experience applying data science into client problems.
• Ability to present methodology and solutions effectively.

Responsibilities

• Manage and lead a team of Data Scientists.
• Design science pipelines to meet new promo planning requirements.
• Build strong relationships with clients to understand strategies.

Skills

Analytical Techniques

Logical thinking

Problem solving

Strong communication

Stakeholder Management

Statistical Modelling

Education

Degree in Statistics, Maths, Physics, Economics or similar field

Job description

Join to apply for the Applied Data Science Manager role at dunnhumby

Join to apply for the Applied Data Science Manager role at dunnhumby

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.

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, Meijer, Procter & Gamble and Metro.

We’re looking for a dynamic Applied Data Science Manager to join the Tesco UK&I Applied Data Science team. You will be working on extending and improving dunnhumby’s promotional planning propositions and implementing these with Tesco UK. This is an exciting opportunity that will require you to work closely with the Tesco P&P team and with dunnhumby RDS, P&P Consulting and Product teams to deliver scalable results at pace.

What You’ll Be Working On

• Manage and lead a team of Data Scientists and take accountability for quality and timeliness of science deliverables to the client.
• Work with the Research Data Science team to design science pipelines to meet new promo planning requirements.
• Participate in client meetings, as required, to present methodology and solutions, demonstrating effective story telling techniques that distil complex problems into compelling insights to influence client decision making.
• Help the team to build strong relationships with internal contacts & clients to ensure full understanding of client strategy, challenges and agreed measures of success for the project.
• Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
• 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.
• Ensure the team are following dunnhumby Quality Assurance processes, ways of working and coding standards.
• 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.
• Hire, mentor, motivate and retain a strong team of applied data scientists who live the dunnhumby values.
• 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 We Expect From You

• Degree in Statistics, Maths, Physics, Economics or similar field
• Analytical Techniques and Technology
• Logical thinking and problem solving
• Strong communication skills
• Stakeholder Management
• Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact
• Statistical Modelling and experience of applying data science into client problems.
  
  

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 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)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Media

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