Data Science Manager in London

Data Science Manager in London

London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Women in Data®

At a Glance

  • Tasks: Lead a team of data scientists tackling real-world logistics challenges.
  • Company: Join Relay, a fast-growing logistics startup backed by major investors.
  • Benefits: Generous equity, private health coverage, and extensive perks.
  • Other info: Dynamic culture focused on innovation and collaboration.
  • Why this job: Shape the future of e-commerce with impactful data-driven decisions.
  • Qualifications: Experience in data science and leadership in fast-paced environments.

The predicted salary is between 36000 - 60000 £ per year.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.

THE TEAM

  • ~110 people, more than half in engineering, product and data
  • 45+ advanced degrees across computer science, mathematics and operations research
  • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle
  • An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation

The Opportunity

Relay's network runs on decisions. Behind each decision is a model, and behind each model is a data scientist who built it, tested it, and shipped it to production. As Data Science Manager, you will lead a team of six data scientists working across some of the hardest problems in logistics: last-mile marketplace dynamics, courier performance and retention, route length estimation, network simulation, and telematics. This role exists to set direction across domains, keep raising the bar on execution, and take a strong team to the next level.

You will also shape how Data Science works as a function: setting up cross-team forums, establishing ways of working, and building the culture that lets the team scale. You will stay close to our models, actively review meaningful changes, pair on complex problems, and step in on high-impact work when needed. You will run a team that owns what it builds, turning ambiguity into plans, plans into delivery, and delivery into real-world impact. You will work tightly with Product, Engineering, and Operations to make tradeoffs explicit and keep the team focused on what matters most. This role reports to the Director of Data.

What You’ll Do

  • Lead and grow a team of data scientists across multiple domains: marketplace, courier excellence, route length estimates, finance, and telematics
  • Set technical direction and quality standards, reviewing meaningful work and stepping in on high-impact problems
  • Own the DS roadmap: prioritise across competing demands, make tradeoffs explicit, and keep the team focused
  • Partner with Product, Engineering, and Operations to turn ambiguity into plans and plans into production
  • Build the team: hire strong data scientists, run a fair performance process, and help people grow in ways that compound over time
  • Raise standards across velocity, model quality, and observability. Diagnose and fix issues when things break or slow down
  • Shape the DS function: establish cross-team forums, ways of working, and the culture that helps the team scale

Who Will Thrive in This Role?

  • You’re comfortable spending most of your time leading and enabling others, while still being willing, and able, to dive into the work when it matters
  • You take full ownership of outcomes and don’t wait for permission to improve things
  • You care deeply about the people using and operating the systems your team builds: couriers, retailers, operatives, teammates, and consumers
  • You do well in fast-moving, ambiguous environments and bring structure through action, not ceremony
  • You communicate clearly, set clear metrics and goals for the team, give direct feedback, listen carefully, and collaborate deliberately
  • You’ll take on any problem, technical or otherwise, if it unblocks the team or improves results

Fast and Focused Hiring Process

Talent Acquisition Interview - 30 min Case Study - 1 hour Values & Impact Interview - 1 hour Decision and offer within 48 hours.

Compensation, Benefits & Workplace

  • Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success.
  • Private health & dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it.
  • 25 days of holidays
  • Enhanced parental leave.
  • Hardware of your choice.
  • Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).
  • Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote.

Who Thrives at Relay?

  • Aim with Precision: You define problems clearly and measure your impact meticulously.
  • Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction.
  • 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth.
  • All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts.
  • People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour.
  • Grow the Whole Pie: You seek out win‑win solutions for merchants, couriers, and our customers, because when they thrive, so do we.

If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let’s connect.

Relay is an equal‑opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Data Science Manager in London employer: Women in Data®

Women in Data® is an exceptional employer that champions diversity and innovation within the tech industry. With a strong commitment to employee growth, you will benefit from generous annual leave, ongoing development opportunities, and a collaborative work culture that values mentorship and technical excellence. Join us in a role that not only enhances your career but also contributes to meaningful initiatives in data and machine learning.

Women in Data®

Contact Details:

Women in Data® Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Manager in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Relay. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Prepare for those interviews by diving deep into Relay’s mission and values. Understand how your skills as a Data Science Manager can directly impact their goals. Show them you’re not just a fit on paper but a perfect match for their culture.

Tip Number 3

Practice your problem-solving skills! Relay is all about tackling complex logistics issues. Brush up on case studies or real-world scenarios that showcase your ability to think critically and lead a team through challenges.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Relay team.

We think you need these skills to ace Data Science Manager in London

Team Leadership
Data Science
Technical Direction
Model Development
Cross-Team Collaboration
Roadmap Prioritisation
Performance Management

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Science Manager role. Highlight relevant experience, especially in leading teams and working on production systems. We want to see how your skills align with our mission at Relay!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for logistics and data science, and explain why you’re excited about the opportunity at Relay. Let us know how you can contribute to our vision of freeing commerce from friction.

Showcase Your Impact:When detailing your past projects, focus on the impact you made. Use metrics and examples to illustrate how your work improved processes or outcomes. We love seeing how you’ve turned ambiguity into actionable plans!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Relay!

How to prepare for a job interview at Women in Data®

Know Your Data Science Fundamentals

Brush up on your core data science concepts, especially those relevant to logistics. Be prepared to discuss models you've built and how they impacted business decisions. Relay values practical applications, so focus on real-world examples.

Showcase Leadership Skills

As a Data Science Manager, you'll be leading a team. Highlight your experience in mentoring and guiding others. Prepare to discuss how you've turned ambiguity into actionable plans and how you foster collaboration across teams.

Understand Relay's Mission

Familiarise yourself with Relay's mission to free commerce from friction. Think about how your skills can contribute to this goal. Be ready to share ideas on improving delivery systems and enhancing the online shopping experience.

Prepare for Technical Challenges

Expect to tackle complex problems during the interview. Brush up on your technical skills and be ready to dive into discussions about model quality, observability, and performance metrics. Show that you're not just a manager but also a hands-on problem solver.