At a Glance
- Tasks: Lead the development of forecasting models that drive operational decisions.
- Company: Join Relay, a fast-growing logistics startup backed by major investors.
- Benefits: Enjoy generous equity, private health coverage, and extensive perks.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact on how goods move in the online era.
- Qualifications: 5+ years in data science with strong Python and SQL skills.
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. Relay’s Mission is to free commerce from friction, envisioning 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 handled
- An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentation
About the role
Relay's network runs on forecasts. Every shift released in sortation, every middle-mile van dispatched, every last-mile route planned, and every expansion decision made are all downstream of models that predict how parcels move through our system. The Network squad builds and maintains the forecasting engine that powers all of it. As a Senior Data Scientist in the Network squad, you will lead a core domain within that engine, working alongside other Data Scientists and Analysts who each bring different expertise. The scope spans demand forecasting, expansion modelling, parcel intelligence, and sortation predictions.
What You'll Do
- Build and maintain forecasting models within your domain - from initial exploration through to validation and production deployment
- Learn the operational processes your models serve, supported by the squad and the teams who use the forecasts, and identify where the current approach falls short
- Monitor how your models perform in production, investigate when accuracy drops, and work with the squad to improve them
- Contribute to methodology decisions and validation approaches, working with other Data Scientists in the squad to improve the forecasting engine over time
- Translate problems from consuming squads into data science problems
- Work with Finance to ensure the handoff between operational and financial models is reliable
- Quantify the impact of model errors on cost per parcel, helping the squad and stakeholders prioritise where to invest effort
- Influence the squad's technical direction and modelling approaches as the team grows
Who Will Thrive in This Role?
- Experience thinking about interconnected systems
- A track record of building and delivering models
- Evaluate models beyond standard offline metrics
- Strong Python and SQL skills
- Experience with time-series forecasting methods
- At least 5 years of experience in a data science or quantitative modelling role
- Experience communicating with non-technical stakeholders
- Comfortable using AI tools to accelerate workflow
- Logistics or delivery network experience is a plus
Compensation, Benefits & Workplace
- Generous equity, richer than 99% of European startups
- Private health & dental coverage
- 25 days of holidays
- Enhanced parental leave
- Located in Shoreditch, with a hybrid work setup
- Extensive perks including gym subsidies and covered Uber home for late nights
Who Thrives at Relay?
- Aim with Precision
- Play to Win
- 1% Better Every Day
- All In, All the Time
- People-Powered Greatness
- Grow the Whole Pie
Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
Senior Data Scientist - Relay Network employer: Relay Technologies
Relay is an exceptional employer, offering a vibrant work culture that thrives on innovation and collaboration. With generous equity options, comprehensive health benefits, and a supportive environment for professional growth, employees are empowered to make impactful contributions in the fast-paced logistics sector. Located in the heart of Shoreditch, the office fosters meaningful interactions while providing extensive perks that enhance work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Relay Network
✨Tip Number 1
Network, network, network! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Relay or in logistics. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or models you’ve built, make sure to share them during interviews or networking events. It’s a great way to demonstrate your expertise and passion for data science.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python and SQL skills, and be ready to discuss your modelling experiences. Practice explaining your thought process clearly, as communication is key when working with non-technical stakeholders.
✨Tip Number 4
Don’t forget to 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!
We think you need these skills to ace Senior Data Scientist - Relay Network
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight relevant experience, especially in building and deploying forecasting models. We want to see how your skills align with our mission at Relay!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and logistics, and explain how your background makes you a perfect fit for our team. Let us know why you’re excited about joining Relay!
Showcase Your Projects:Include examples of models you've built that had a real impact on operations or decision-making. We love seeing how you've tackled complex problems and what results came from your work. Don’t hold back!
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. Plus, it shows you’re keen to join our 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 forecasting models. Make sure you can discuss your previous models in detail, including how they were built, validated, and deployed. Be ready to explain the impact of these models on operational decisions.
✨Understand the Operational Processes
Familiarise yourself with the operational processes that your models will serve. This means understanding how demand forecasts influence shift releases and route planning. Show that you can translate complex operational needs into data science problems.
✨Demonstrate Collaboration Skills
Relay values teamwork, so be prepared to discuss how you've worked collaboratively in the past. Highlight experiences where you’ve contributed to methodology decisions or worked closely with non-technical stakeholders to ensure trust in your models.
✨Showcase Your Technical Proficiency
Make sure you're comfortable discussing your experience with Python, SQL, and time-series forecasting methods. Be ready to talk about the trade-offs between different modelling approaches and how you've taken models from development to production.
