At a Glance
- Tasks: Build dynamic models to simulate Relay's logistics network and drive strategic financial decisions.
- Company: Join Relay, a fast-scaling 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, collaboration, and continuous improvement.
- Why this job: Make a real impact in reshaping e-commerce logistics with cutting-edge data science.
- Qualifications: Strong modelling skills, experience in financial modelling, fluent in Python and SQL.
The predicted salary is between 48000 - 72000 £ 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
- ~90 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 is scaling fast. The decisions that shape that growth depend on models that can simulate how the network behaves and how it will develop as density, geography, and operating models change. This role exists to build them. As a Senior Data Scientist, Strategic Finance, you will own the simulation of Relay's network. You will build and maintain a modular collection of models that captures how our unit economics work end‑to‑end, from first‑mile collection through sortation, middle‑mile, and last‑mile delivery.
Your primary partner is the finance team: Strategic Finance, Commercial Finance, and FP&A. You translate their questions into data science problems and give them tools that let them explore pricing, margins, and projections dynamically rather than waiting for models to be manually rebuilt. You product‑manage your own roadmap: you take in the needs, prioritise what to build, and ship it. This is a new role. There is no existing system to inherit. You are building from scratch; part of a data organisation of around 30 engineers, analysts, and data scientists, but embedded in our finance squad.
Who Will Thrive in This Role?
- You’re a strong modeller who thinks in systems.
- You’re a builder. You don’t wait for requirements to be handed to you.
- You’re fluent in Python and SQL, and you’re comfortable doing your own data engineering when needed.
- You have real experience with financial modelling, forecasting, or simulation.
- You communicate clearly with non-technical partners.
- You care about the problem more than the technique.
- You take ownership of your domain.
- Logistics or delivery network experience is a plus.
Compensation And Benefits
- Generous equity, richer than 99% of European startups, with annual top‑ups to share Relay’s success.
- Private health & dental coverage.
- 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).
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.
- People-Powered Greatness: You invest in your teammates.
- Grow the Whole Pie: You seek out win‑win solutions for merchants, couriers, and our customers.
Relay is an equal‑opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Senior Data Scientist - Strategic Finance employer: Relay Technologies
Relay is an exceptional employer, offering a vibrant and intellectually stimulating work culture that prioritises creativity and collaboration. As a Growth Marketing Manager, you'll have the unique opportunity to drive impactful marketing strategies in a fast-paced environment, backed by significant investment and a mission to revolutionise logistics. With a commitment to employee growth and a focus on diversity and inclusion, Relay empowers its team members to experiment, learn, and thrive while making a meaningful difference in the e-commerce landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Strategic Finance
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data science and finance. Use real-world examples from your experience to showcase your skills and how you can contribute to Relay's mission.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repository or a portfolio of your work, make sure to highlight your modelling skills and any relevant financial simulations you've done. This will give you an edge over other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Relay team and contributing to our exciting journey.
We think you need these skills to ace Senior Data Scientist - Strategic Finance
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with financial modelling, Python, and SQL, and don’t forget to showcase any relevant projects that demonstrate your ability to build and iterate on models.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about Relay’s mission and how your skills can help us free commerce from friction. Be specific about how your past experiences align with the challenges we face.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We love candidates who can break down issues and come up with innovative solutions, so don’t hold back on sharing your thought process!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see 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 Relay Technologies
✨Know Your Models Inside Out
As a Senior Data Scientist, you'll be expected to build and maintain complex models. Make sure you can discuss your previous modelling experiences in detail, including the assumptions behind them and how you've iterated on them. Be ready to explain how your models have informed strategic decisions.
✨Communicate Like a Pro
You'll need to work closely with finance teams who may not be as technical. Practice explaining your models and their implications in simple terms. Use examples from your past work to demonstrate how you've successfully communicated complex data insights to non-technical stakeholders.
✨Show Your Problem-Solving Skills
Relay is looking for builders who take initiative. Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your ability to break down complex problems and your experience in creating solutions that drive better decisions.
✨Be Ready to Discuss Industry Knowledge
While logistics experience is a plus, what's more important is your ability to learn quickly. Brush up on key concepts in logistics and delivery networks. Be prepared to discuss how you would approach modelling in this context and what factors you think are crucial for success.
