At a Glance
- Tasks: Lead a team of Data Scientists to optimise logistics and drive real operational decisions.
- Company: Fast-growing venture-backed logistics platform reshaping eCommerce.
- Benefits: Equity, competitive salary, 4-day in-office model, and rapid career growth.
- Other info: Join a talent-dense team with a clear and fast hiring process.
- Why this job: Make a tangible impact in a dynamic environment with cutting-edge data science.
- Qualifications: Proven leadership in data science and strong modelling skills required.
The predicted salary is between 36000 - 60000 £ per year.
A venture-backed logistics platform is quietly rebuilding how goods move in the eCommerce era. Fresh off one of Europe’s largest logistics Series A rounds and scaling faster than 99% of VC-backed start-ups, they’re building one of the most talent-dense data teams in the industry.
The Role
You’ll lead a team of Data Scientists working on production systems that directly control:
- Marketplace and last-mile dynamics
- Courier performance and retention
- Route estimation and network simulation
- Pricing, finance and telematics models
These models don’t sit in notebooks. They power real operational decisions every single day.
You’ll:
- Set technical direction and raise the quality bar
- Own roadmap prioritisation across competing business demands
- Partner deeply with Product, Engineering and Ops
- Hire, develop and compound the capability of the team
- Stay close enough technically to review, unblock and step in when it matters
Proven experience leading Data Scientists in production environments. Strong modelling background (optimisation, marketplace, forecasting, simulation or similar). Comfortable in ambiguity and fast-moving environments. Clear, direct communicator who can translate models into business impact. High standards around velocity, observability and model quality.
You care about outcomes, not optics. You’re willing to get hands-on when needed. You build teams that own what they ship.
Equity richer than 99% of European start-ups, with annual top-ups. Deeply technical, first-principles culture (45+ advanced degrees internally). 4-day in-office model designed for real collaboration. Clear, fast hiring process (decision within 48 hours at final stage).
Data Science Manager employer: Omnis Partners
As the Head of Marketing Effectiveness for a leading global consumer brand based in London, you will thrive in a dynamic and innovative work culture that prioritises creativity and collaboration. The company offers competitive compensation, robust employee growth opportunities, and a hybrid working model that promotes work-life balance, making it an excellent employer for those seeking meaningful and rewarding careers in marketing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be leading a team of Data Scientists, be ready to discuss your past projects and how they’ve made a real impact on business outcomes.
✨Tip Number 3
Showcase your leadership style! Be prepared to talk about how you’ve developed teams in the past and how you plan to raise the quality bar in this new role. We want to see your passion for building strong, capable teams.
✨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 genuinely interested in being part of our awesome team.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Show Your Passion for Data Science:When you write your application, let your enthusiasm for data science shine through! We want to see how your experience aligns with the role and how excited you are about leading a talented team in a fast-paced environment.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure to highlight your relevant experience and skills without unnecessary fluff. Remember, we’re looking for direct communicators!
Tailor Your Application:Make sure to customise your application to reflect the specific requirements of the Data Science Manager role. Mention your experience with production systems and how you've driven business impact through data models—this will catch our eye!
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 out on any important updates during the hiring process. Let’s get started!
How to prepare for a job interview at Omnis Partners
✨Know Your Data Models
Make sure you’re well-versed in the types of models relevant to the role, like optimisation and forecasting. Be ready to discuss how you've applied these in real-world scenarios, as this will show your hands-on experience and technical depth.
✨Showcase Leadership Experience
Prepare examples that highlight your experience leading Data Scientists in production environments. Discuss how you’ve set technical direction and prioritised roadmaps, as this will demonstrate your ability to manage competing business demands effectively.
✨Communicate Clearly
Practice translating complex data concepts into business impacts. The interviewers will appreciate a clear communicator who can bridge the gap between technical details and operational decisions, so be ready to explain your thought process simply.
✨Embrace Ambiguity
Be prepared to discuss how you thrive in fast-moving environments. Share specific instances where you navigated uncertainty and made impactful decisions, as this aligns with the company’s culture of agility and innovation.
