Applied Data Science Manager
Applied Data Science Manager

Applied Data Science Manager

London Full-Time 84000 - 116000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a team of Data Scientists to deliver impactful data solutions for Tesco.
  • Company: dunnhumby is a global leader in Customer Data Science, empowering businesses with data-driven insights.
  • Benefits: Enjoy flexible working hours, your birthday off, and a comprehensive rewards package.
  • Why this job: Join a dynamic team that values innovation, collaboration, and making a real impact on customer experiences.
  • Qualifications: Degree in Statistics, Maths, or similar; strong analytical and communication skills required.
  • Other info: We promote diversity and inclusion, ensuring everyone can shine in their roles.

The predicted salary is between 84000 - 116000 £ per year.

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 is 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.

Applied Data Science Manager employer: Dunnhumby

At dunnhumby, we pride ourselves on being a leading employer in the data science field, offering a dynamic work environment in London that fosters innovation and collaboration. Our commitment to employee growth is evident through our investment in cutting-edge technology and comprehensive rewards packages, including flexible working hours and unique perks like your birthday off. We champion diversity and inclusion, ensuring that every team member has the opportunity to thrive and make a meaningful impact in their role.
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Contact Detail:

Dunnhumby Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Applied Data Science Manager

✨Tip Number 1

Familiarise yourself with dunnhumby's core values and mission. Understanding their commitment to being 'Customer First' will help you align your responses during interviews, showcasing how your experience and approach can contribute to their goals.

✨Tip Number 2

Prepare to discuss specific data science projects you've led or contributed to, especially those that involved stakeholder management and client interactions. Highlighting your ability to communicate complex insights effectively will resonate well with the role's requirements.

✨Tip Number 3

Network with current or former employees of dunnhumby on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your application process.

✨Tip Number 4

Showcase your leadership skills by preparing examples of how you've mentored or managed teams in the past. Since the role involves leading a team of Data Scientists, demonstrating your ability to inspire and develop talent will be crucial.

We think you need these skills to ace Applied Data Science Manager

Team Leadership
Data Science Algorithms
Statistical Modelling
Analytical Techniques
Problem-Solving Skills
Stakeholder Management
Effective Communication
Client Relationship Management
Quality Assurance Processes
Technical Proficiency in Data Science Tools
Project Management
Mentoring and Coaching
Adaptability to Market Feedback
Storytelling Techniques for Presentations

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, team management, and client engagement. Use keywords from the job description to demonstrate that you meet the specific requirements of the Applied Data Science Manager role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for customer-centric data science. Share specific examples of how you've successfully led teams and delivered impactful results in previous roles, particularly in promotional planning or similar projects.

Showcase Your Technical Skills: Clearly outline your technical skills related to statistical modelling and data science algorithms. Mention any relevant technologies or tools you are proficient in, as this will show your capability to deliver on the job's requirements.

Demonstrate Leadership Experience: Highlight your experience in mentoring and managing teams. Provide examples of how you've motivated your team and ensured quality deliverables, as this is crucial for the role at dunnhumby.

How to prepare for a job interview at Dunnhumby

✨Understand the Company Culture

Before your interview, take some time to research dunnhumby’s values and culture. They emphasise a customer-first approach and inclusivity, so be prepared to discuss how your personal values align with theirs.

✨Showcase Your Technical Skills

As an Applied Data Science Manager, you'll need to demonstrate your expertise in statistical modelling and data science applications. Be ready to discuss specific projects where you've successfully applied these skills to solve client problems.

✨Prepare for Storytelling

Dunnhumby values effective storytelling techniques. Prepare to present complex data insights in a clear and compelling way that influences decision-making. Practise distilling technical jargon into relatable concepts.

✨Highlight Leadership Experience

Since this role involves managing a team, be sure to share examples of your leadership style. Discuss how you’ve mentored and motivated teams in the past, and how you plan to foster a collaborative environment at dunnhumby.

Applied Data Science Manager
Dunnhumby
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  • Applied Data Science Manager

    London
    Full-Time
    84000 - 116000 £ / year (est.)

    Application deadline: 2027-06-20

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    Dunnhumby

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