Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team of data scientists to enhance logistics operations with machine learning.
- Company: A top logistics firm in Greater London with a focus on innovation.
- Benefits: Competitive pay, generous equity, private health coverage, and great workplace perks.
- Why this job: Shape the future of logistics while leading a dynamic team in a fast-paced environment.
- Qualifications: Strong leadership skills and experience in data science.
- Other info: Join a positive workplace atmosphere with opportunities for growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading logistics firm in Greater London seeks a Data Science Manager to lead a team of data scientists. You will set direction across domains, enhance execution standards, and closely engage with models shaping everyday operations.
Ideal candidates possess strong leadership skills and thrive in fast-paced environments.
The position offers competitive compensation, including generous equity, private health coverage, and various perks for a positive workplace atmosphere.
Data Science Manager: Lead Production ML in Logistics employer: Relay Technologies
Contact Detail:
Relay Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager: Lead Production ML in Logistics
✨Tip Number 1
Network like a pro! Reach out to current employees at the logistics firm on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your leadership skills in interviews. Prepare examples of how you've led teams or projects in the past, especially in fast-paced environments. We want to see that you can inspire and guide others!
✨Tip Number 3
Research the company’s recent projects and challenges in logistics. This will help us tailor our conversations and show that we’re genuinely interested in their work and how we can contribute.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Science Manager: Lead Production ML in Logistics
Some tips for your application 🫡
Show Your Leadership Skills: As a Data Science Manager, we want to see your leadership style shine through in your application. Share examples of how you've led teams or projects in the past, and don't be shy about showcasing your ability to inspire and motivate others.
Tailor Your Application: Make sure to customise your CV and cover letter for this role. Highlight your experience in logistics and data science, and connect your skills to the specific requirements mentioned in the job description. We love seeing candidates who take the time to align their background with our needs!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and long-winded explanations. Use bullet points where possible to make your achievements stand out!
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 the role. Plus, it makes the process smoother for both you and us!
How to prepare for a job interview at Relay Technologies
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in machine learning and logistics. Be ready to discuss specific models you've worked with and how they impacted operations. This shows you're not just a leader but also technically savvy.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Think about challenges you've faced and how you motivated your team to overcome them. This will demonstrate that you can thrive in fast-paced environments and set direction effectively.
✨Engage with Real-World Scenarios
Be ready to tackle hypothetical scenarios related to logistics and data science during the interview. Practising these types of questions can help you articulate your thought process and problem-solving skills, which are crucial for this role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they envision the role of a Data Science Manager. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
