At a Glance
- Tasks: Drive innovation in our marketplace by making key decisions on booking and matching.
- Company: Join Relay, a fast-growing logistics startup reshaping e-commerce delivery.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture focused on collaboration, feedback, and continuous improvement.
- Why this job: Be at the forefront of transforming how goods move online and make a real impact.
- Qualifications: Experience in decision-making within a two-sided marketplace; SQL skills are a plus.
The predicted salary is between 56700 - 69300 £ per year.
Relay is fundamentally reshaping how goods move in an online era.
Backed by Europe’s largest-ever logistics Series A ($35M) led by deep-tech investors Plural, and a recently closed Series B ($95M), Relay is scaling faster than 99% of venture-backed startups.
We're assembling the most talent-dense team the logistics industry has ever seen
Relay’s Mission is to 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
- ~160 people, around 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
Relay delivers 400,000 parcels a day through people who don't work for us: van drivers who choose their own shifts, local shops that hold parcels, and couriers who take them to the door.
We went from 3,000 parcels a day in London to 400,000 across the UK in under three years.
Delivery companies have always bought capacity by guesswork.
Book too few drivers and parcels wait; book too many and you pay for empty vans.
Most carriers accept that waste as the price of being reliable.
Relay is building a marketplace where it isn't.
You can't schedule drivers.
You can only design what's on offer, and measure what happens.
Every part of our network runs on decisions.
The next two years are about building the systems that make them well, and proving they do.
Engineering and operational research build what you design.
- Marketplace Highlights
- You own decision-making, not the model: you decide what Marketplace changes on booking, matching and shifts, and recommend on pay.
Our scientists' models and experiments feed your calls, and the squad lead acts on them.
- Drivers choose when to work. What makes a shift worth booking early, and how do you prove what works when a clean experiment isn't possible?
- Every booked shift is paid, used or not, and every unserved route means late parcels.
Where should each area sit between the two, and what would let the network get there on its own?
- Local shops hold our parcels while running their own businesses. Where does the network need more of them, what should a shop be paid, and how would you see a closed shop coming?
- A whole area, not a slice: no playbook, and the result is on the street the next morning.
- Analytics at the front, not in support: the squad's roadmap follows the analysis, in a data team of about 30 across analytics, operational research and data science.
The Opportunity
As a Staff Product Analyst, Driver Supply at Relay, you'll
- Decide which Marketplace problems are real and which only look real, before anyone builds a fix.
- Design how Marketplace decides: which signals count, and what good looks like for booking, matching and pay.
- Tell the squad lead what to change and what to stop, and get a decision.
- Build the thing that decides: data applications, monitors and alerts, not decks, using Claude and agents to ship your own tools.
- Go and look when the data and the street disagree: the sort centre, the van, the shop.
- Get the missing data built, and prove whether each change worked. In a year, Marketplace's booking and pay decisions run on a system you designed.
- We're looking for candidates who…
- Have owned the decisions a matching, pricing or incentive model fed, in a two-sided marketplace or gig platform, rather than building the model itself.
- Have seen their work acted on: a leader changed a plan, a team adopted your method, or engineers built what you asked for.
- Can trace why drivers or couriers stop booking or cancel, and can read the experiments behind a pricing or incentive change, including when a clean test isn't possible.
- Have been through real change, such as a pivot, fast growth or a new market, and rebuilt something because of it.
- Are hands-on and fluent in SQL, with or without AI, and happy to build their own analysis apps, monitors and alerts.
- Would rather ship a working answer this week than a perfect one next quarter. No logistics experience needed, just the appetite to learn a physical operation fast.
Don’t tick every box? If this problem excites you, we'd still love to hear from you.
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,
Relay is an equal‑opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Staff Product Analyst, Driver Supply employer: Relay Technologies
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 hands-on experience and mentorship, Relay empowers its team to tackle complex challenges in logistics while enjoying extensive perks and a supportive environment. Join us to be part of a mission-driven company that values your contributions and fosters a sense of ownership and community.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Product Analyst, Driver Supply
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Relay Technologies!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Staff Product Analyst, Driver Supply at Relay Technologies.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Relay Technologies.
✨Apply Directly through Our Website
When you find a suitable opening like Staff Product Analyst, Driver Supply at Relay Technologies, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Staff Product Analyst, Driver Supply
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Relay Technologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Relay Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Relay Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Relay Technologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.