At a Glance
- Tasks: Own and evolve geospatial datasets to enhance Relay's delivery operations.
- Company: Join Relay, a fast-growing logistics startup backed by major investors.
- Benefits: Generous equity, private health coverage, 25 days holiday, and extensive perks.
- Other info: Dynamic team culture focused on innovation and collaboration.
- Why this job: Make a real impact on e-commerce by improving how goods move.
- Qualifications: Experience with geospatial data and a passion for solving complex problems.
The predicted salary is between 70000 - 90000 € 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’re assembling the most talent-dense team the logistics industry has ever seen.
Relay’s Mission
Free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. 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 operates a delivery network that generates rich location and movement data every day. Understanding that data — and turning it into improvements across the delivery operation — is the focus of this role. As Staff Data Scientist for Geospatial, you will own the location and movement datasets that underpin Relay’s delivery operation, defining how they are built, measured, and evolved. You will use signals from across the network to build models that make the operation faster and more reliable. This is a senior individual contributor role. You will work cross-functionally with Engineering, Operational Research and Data Scientists to integrate your data solutions across the Relay network.
What You’ll Do
Define how we measure the quality of our geospatial data: identifying gaps, quantifying their impact on the operation, and prioritising improvements. Continuously evolve our location datasets. Own the technical strategy and roadmap for Relay’s geospatial data solutions. Partner with engineering to productionise and integrate solutions into the delivery operation. Build observability into pipelines so that degradation in data quality is detected, understood, and acted upon. Build reusable data products and define core metrics that add value across the business. Coach and mentor other data scientists on technical approach, production standards, and problem decomposition.
Who Will Thrive in This Role?
You have deep experience with geospatial data, telemetry, or GPS trace processing. You love maps and urban geography. You are motivated by complex problems with high impact. You understand what it takes to own a production data product end to end — you treat observability, testing, and incident response as core responsibilities. You care about the people your work affects — couriers, retailers, and internal teams all feel the impact of the data products you own.
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. You move quickly, deliver results, and learn from every experience. 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. You build trust through high standards and shared success. 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.
Staff Data Scientist - Geospatial in London employer: relaytech.co
Relay is an exceptional employer, offering a vibrant work culture that thrives on innovation and collaboration in the heart of Shoreditch. With generous equity options, comprehensive health benefits, and a commitment to employee growth through mentorship and hands-on experience, Relay empowers its team to tackle complex challenges in the logistics industry. The unique blend of a supportive environment and cutting-edge technology makes Relay an attractive place for those seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Scientist - Geospatial in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Relay. Use LinkedIn to connect and engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for the interview by understanding Relay's mission and values. Think about how your experience with geospatial data aligns with their goals. Show them you’re not just a fit for the role, but for the company culture too!
✨Tip Number 3
Practice your problem-solving skills! Relay loves tackling complex issues, so be ready to discuss how you've approached similar challenges in the past. Use real examples to demonstrate your thought process and impact.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email can keep you top of mind. Mention something specific from your conversation to show you were engaged and are genuinely interested in the role.
We think you need these skills to ace Staff Data Scientist - Geospatial in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Data Scientist role. Highlight your experience with geospatial data and how it aligns with Relay's mission to free commerce from friction.
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made in previous roles. Use metrics and examples to illustrate how your work has improved data quality or operational efficiency.
Be Authentic:Let your personality shine through in your application. We want to see who you are beyond your technical skills. Share your passion for maps, urban geography, and solving complex problems.
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 don’t miss any important updates about the hiring process.
How to prepare for a job interview at relaytech.co
✨Know Your Geospatial Data
Make sure you brush up on your knowledge of geospatial data, telemetry, and GPS trace processing. Be ready to discuss specific examples from your past work where you've successfully handled similar datasets and how they impacted operations.
✨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 and be prepared to share your thoughts on improving the online shopping experience through data solutions.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data quality measurement and observability. Prepare to explain your approach to building reusable data products and how you would tackle gaps in geospatial data.
✨Show Your Collaborative Spirit
Relay values teamwork, so be ready to discuss how you've worked cross-functionally in the past. Share examples of how you've mentored others or collaborated with engineering teams to integrate data solutions effectively.