At a Glance
- Tasks: Lead a dynamic data science team tackling complex logistics challenges.
- Company: Join one of Europe’s fastest-growing logistic delivery companies.
- Benefits: Competitive salary up to £120k, career growth, and a collaborative environment.
- Other info: Thriving in fast-paced environments is key to success here.
- Why this job: Make a real impact by solving critical problems in logistics.
- Qualifications: Experience in leading teams and driving data-driven improvements.
The predicted salary is between 120000 - 120000 £ per year.
Xcede have started working with one of Europe’s fastest growing logistic delivery companies. Needing someone to look over the fast-growing data team, you will work with some of the most difficult logistic problems e.g. final-delivery platform behaviour, driver productivity and loyalty, trip-distance forecasting, network modelling, and vehicle telemetry.
What you will do:
- Lead and grow a cross-functional data science team across marketplace, operations, routing, finance, and telematics
- Set technical direction, maintain high standards, and step into critical problems when needed
- Own and prioritise the roadmap, making clear trade-offs and keeping the team focused
- Partner with Product, Engineering, and Operations to turn ideas into production
- Hire, develop, and retain strong talent
- Improve speed, model quality, and observability while resolving issues quickly
- Build scalable ways of working and a strong team culture
Requirements:
- You’re comfortable leading others day-to-day, while stepping in hands-on when it has the most impact
- You take end-to-end responsibility for outcomes and proactively drive improvements
- You prioritise the needs of those using and running your systems—couriers, partners, operators, teammates, and customers
- You thrive in fast-paced, uncertain environments and create clarity through action
- You communicate clearly, define measurable goals, give honest feedback, and collaborate thoughtfully
- You’re willing to tackle any challenges to unblock progress and deliver better results
If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com | 02074226861
Data Science Manager employer: Xcede
Join one of Europe’s fastest growing logistic delivery companies, where you will lead a dynamic data science team tackling complex challenges in the logistics sector. With a strong emphasis on employee growth and collaboration, the company fosters a vibrant work culture that encourages innovation and hands-on problem-solving. Enjoy competitive benefits and the opportunity to make a significant impact in a fast-paced environment, all while working alongside talented professionals dedicated to excellence.
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, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those that relate to logistics or team leadership. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common data science scenarios and leadership questions. Think about how you would tackle real-world problems like trip-distance forecasting or improving model quality—this will help you shine during discussions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Science Manager role. Highlight your experience in leading data teams and solving complex logistic problems. We want to see how your skills align with our needs!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics to demonstrate how you’ve improved model quality or team performance. We love seeing tangible results!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you’re passionate about data science and how you can contribute to our fast-growing team. Let us know what excites you about tackling logistic challenges!
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 don’t miss any important updates from us!
How to prepare for a job interview at Xcede
✨Know Your Data Science Stuff
Make sure you brush up on the latest data science techniques and tools relevant to logistics. Be ready to discuss your experience with model quality, forecasting, and any hands-on projects you've led. This will show that you're not just a manager but also someone who can dive into the technical details when needed.
✨Show Your Leadership Style
Prepare examples of how you've successfully led cross-functional teams in the past. Highlight your approach to hiring, developing talent, and maintaining a strong team culture. Companies want to see that you can inspire and grow a team while keeping everyone focused on their goals.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. You’ll need to explain complex concepts to various stakeholders, so being able to break things down is key. Think about how you can define measurable goals and give constructive feedback during the interview.
✨Be Ready for Problem-Solving
Expect to tackle some real-world logistic problems during your interview. Prepare to discuss how you would approach issues like trip-distance forecasting or driver productivity. Showing your problem-solving skills will demonstrate that you can handle the fast-paced, uncertain environment they operate in.
