Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to develop AI/ML tools for enhancing supply chain efficiencies.
- Company: Global logistics company focused on sustainability and innovation.
- Benefits: Hybrid work model, professional development, and a diverse team culture.
- Why this job: Make a real impact in logistics while leading innovative data science projects.
- Qualifications: 7+ years in data science, strong Python skills, and team management experience.
- Other info: Join a dynamic environment with opportunities for growth and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A global logistics company is seeking a Data Science Leader to develop tools that enhance supply chain efficiencies. In this hybrid role, you'll lead a team of data scientists, apply machine learning techniques, and steer multiple projects to success.
The ideal candidate has 7+ years in data science, strong Python skills, and a proven record of managing teams effectively. Join a diverse team committed to sustainability and innovation, fostering a culture of growth and professional development.
Data Science Lead — AI/ML, Cloud & Scale in London employer: Brambles Limited
Contact Detail:
Brambles Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead — AI/ML, Cloud & Scale in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in logistics or AI/ML. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and supply chain efficiencies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in AI/ML. We recommend practising common interview questions and scenarios related to team management and project leadership.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our diverse and innovative team.
We think you need these skills to ace Data Science Lead — AI/ML, Cloud & Scale in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and leadership. We want to see how your skills in Python and team management align with the role, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about enhancing supply chain efficiencies and how your background makes you the perfect fit for our diverse team.
Showcase Your Projects: If you've led successful projects or developed innovative tools, make sure to mention them! We love seeing real-world applications of your skills, especially those that demonstrate your ability to drive results in AI/ML.
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’re considered for this exciting opportunity to lead in a sustainable and innovative environment!
How to prepare for a job interview at Brambles Limited
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in AI/ML and Python. Be ready to discuss specific projects you've worked on, the techniques you used, and the outcomes. This will show that you not only have the experience but also the technical know-how to lead a team.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to share examples of how you've successfully led projects or teams in the past. Talk about your leadership style, how you motivate your team, and any challenges you've overcome. This will demonstrate your capability to steer multiple projects to success.
✨Align with Their Values
This company is committed to sustainability and innovation, so make sure you highlight any relevant experiences or initiatives you've been part of. Discuss how you can contribute to their culture of growth and professional development, showing that you're not just a fit for the role but also for the company ethos.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company's data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you as well.