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- Tasks: Lead a team of data scientists to solve key logistics challenges using data analysis.
- Company: A leading logistics tech firm in London with a focus on innovation.
- Benefits: Competitive salary, generous equity, and comprehensive health coverage.
- Why this job: Make a real impact in logistics while leading a talented team in a dynamic environment.
- Qualifications: Strong leadership skills and deep understanding of data analysis required.
- Other info: Hybrid work model with opportunities for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading logistics technology firm in London is seeking a Data Science Manager to lead a team of data scientists tackling critical problems in logistics. The role involves setting technical direction, managing priorities, and collaborating with product and engineering teams. Ideal candidates will possess strong leadership skills and a deep understanding of data analysis, with the ability to thrive in fast-moving environments. This position offers a competitive package including generous equity and comprehensive health coverage.
Data Science Manager: Lead Production ML in Logistics (Hybrid) in City of London 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 (Hybrid) in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at the logistics tech firm on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Showcase your leadership skills! Prepare examples of how you've led teams or projects in the past. We want to see how you can inspire and guide others in a fast-paced environment.
✨Tip Number 3
Brush up on your technical skills! Make sure you're ready to discuss data analysis techniques and machine learning applications relevant to logistics. We need to know you can hit the ground running.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Science Manager: Lead Production ML in Logistics (Hybrid) in City of London
Some tips for your application 🫡
Show Your Leadership Skills: When writing your application, make sure to highlight your leadership experience. We want to see how you've successfully managed teams and set technical direction in previous roles. Share specific examples that demonstrate your ability to thrive in fast-moving environments.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the Data Science Manager role. We’re looking for candidates who understand the logistics industry and can articulate how their skills align with our needs.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary and avoid jargon unless it’s relevant to the role. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Relay Technologies
✨Know Your Data Science Stuff
Make sure you brush up on your data analysis skills and be ready to discuss specific projects you've worked on. Be prepared to explain your approach to solving complex problems in logistics, as this will show your technical expertise and understanding of the field.
✨Show Off Your Leadership Skills
Since this role involves leading a team, think about examples where you've successfully managed people or projects. Highlight your ability to set direction and priorities, and how you've collaborated with other teams in the past. This will demonstrate that you're not just a data whiz but also a great leader.
✨Understand the Company’s Mission
Do some homework on the logistics technology firm and understand their goals and challenges. Being able to articulate how your skills align with their mission will show that you're genuinely interested in the role and can contribute to their success.
✨Prepare Questions for Them
Interviews are a two-way street, so come armed with thoughtful questions about the team dynamics, company culture, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
