At a Glance
- Tasks: Build dynamic models to simulate and optimise Relay's logistics network.
- Company: Join Relay, a fast-scaling logistics startup backed by top investors.
- Benefits: Generous equity, private health coverage, 25 days holiday, and extensive perks.
- Other info: Be part of a vibrant team focused on innovation and continuous improvement.
- Why this job: Make a real impact on e-commerce by shaping how goods move online.
- Qualifications: Strong modelling skills, experience in financial modelling, fluent in Python and SQL.
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
- ~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
Role Overview
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.
Key Responsibilities
- Build models that simulate network behaviour and growth.
- Upgrade existing models based on new operating models or service types.
- Translate finance team questions into data science problems.
- Product-manage your own roadmap and prioritise needs.
- Collaborate with a dedicated finance analyst to build reporting layers.
Who Will Thrive in This Role?
- You are a strong modeller who thinks in systems.
- You are a builder who takes initiative and iterates.
- You are fluent in Python and SQL, with data engineering skills.
- You have experience with financial modelling, forecasting, or simulation.
- You communicate clearly with non-technical partners.
- You care about problem-solving over technique.
- You take ownership of your domain and manage trade-offs.
- Logistics or delivery network experience is a plus.
Compensation and Benefits
- Generous equity, richer than 99% of European startups.
- 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: Define problems clearly and measure impact meticulously.
- Play to Win: Chase bold bets and tackle hard challenges.
- 1% Better Every Day: Believe in small, consistent improvements.
- All In, All the Time: Take ownership and deliver results.
- People-Powered Greatness: Invest in teammates and build trust.
- Grow the Whole Pie: Seek win-win solutions for all stakeholders.
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 employer: relaytech.co
Relay is an exceptional employer, offering a vibrant and intellectually stimulating work culture that prioritises innovation and collaboration. As a Senior Content Designer, you'll have the unique opportunity to shape communication strategies that enhance user experience while working alongside a talented team in a fast-paced environment. With a commitment to employee growth and a focus on diversity and inclusion, Relay empowers its team members to thrive and make a meaningful impact in the logistics industry.
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 logistics and data science fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews by practising common data science questions and case studies. Think about how you can apply your skills to Relay’s mission of reducing delivery costs. Show them you’re not just a number cruncher but someone who understands their business!
✨Tip Number 3
When you get an interview, come armed with questions! Ask about their current models and how they envision the future of their network. This shows you’re genuinely interested and ready to contribute to their growth.
✨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 proactive and really want to be part of the Relay team. Let’s make it happen!
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 speaks directly to the role of Senior Data Scientist - Strategic Finance. 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 reshape logistics. Be specific about how your past experiences align with the challenges we face in the role.
Showcase Your Problem-Solving Skills:Relay is all about tackling complex problems. In your application, share examples of how you've broken down intricate issues in the past and built effective solutions. This will show us you’re not just a modeller, but a builder who takes ownership.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents. Plus, it’s super easy!
How to prepare for a job interview at relaytech.co
✨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 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, so practice explaining complex data science concepts in simple terms. Prepare examples of how you've successfully communicated technical information to non-technical stakeholders in the past. This will show that you can bridge the gap between data and business needs.
✨Show Your Problem-Solving Skills
Relay is looking for builders who take initiative. Think of specific instances where you've identified a problem, taken ownership, and delivered a solution. Be prepared to discuss how you approach breaking down complex issues into manageable components and how you prioritise tasks.
✨Demonstrate Your Passion for Logistics
While logistics experience is a plus, what's more important is your ability to learn quickly. Research Relay's mission and values, and be ready to discuss how your skills can contribute to their goal of freeing commerce from friction. Show enthusiasm for the role and the impact you can make.
