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For Companies At a Glance
- Tasks: Build and maintain dynamic models to simulate Relay's logistics network and drive strategic decisions.
- Company: Join Relay, a fast-scaling logistics startup backed by top investors.
- Benefits: Generous equity, private health coverage, 25 days holiday, and extensive perks.
- 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, and proficiency in Python and SQL.
- Other info: Be part of a vibrant team focused on innovation and continuous improvement.
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), led by deep-tech investors Plural, 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
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 models span the full network, from volume forecasting through to routing.
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.
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.
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.
Senior Data Scientist - Strategic Finance in City of London employer: Relay Technologies
Contact Detail:
Relay Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Strategic Finance in City of London
✨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 in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your experience with financial modelling and data engineering, and show how your skills align with Relay's mission to free commerce from friction.
Showcase Your Problem-Solving Skills: Relay is all about tackling complex challenges. In your application, share specific examples of how you've broken down intricate problems and built effective models. This will demonstrate your ability to think in systems and take ownership of your work.
Communicate Clearly: Since you'll be working closely with finance teams, it's crucial to convey your ideas clearly. Use straightforward language in your application to explain your technical expertise and how it can benefit non-technical partners at Relay.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity to join our talent-dense team!
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 models that simulate Relay's network. Make sure you understand the intricacies of financial modelling and how your models impact decision-making. Be ready to discuss specific examples of how you've tackled complex problems in the past.
✨Communicate Like a Pro
You'll need to explain your models to non-technical partners in finance. Practice articulating your thought process clearly and concisely. Use simple language to describe complex concepts, and prepare to answer questions about where your models are reliable and where they might fall short.
✨Show Your Builder Mentality
Relay is looking for someone who takes initiative. Be prepared to share instances where you've identified a problem, taken ownership, and built a solution from scratch. Highlight your experience with Python and SQL, and demonstrate how you've used these tools to create impactful models.
✨Embrace Feedback and Iteration
In a fast-paced environment like Relay, being open to feedback is crucial. Discuss how you've iterated on your models based on input from stakeholders. Show that you're not just about getting it right the first time, but that you value continuous improvement and learning from each experience.
