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- Tasks: Lead a talented team in developing machine learning systems and integrating innovative products.
- Company: Join Ocado Technology Group, a leader in tech-driven fulfilment and logistics.
- Benefits: Enjoy hybrid working, flexible leave, and comprehensive health support.
- Other info: Be part of a dynamic environment with opportunities for growth.
- Why this job: Make an impact by mentoring data scientists and shaping the future of logistics.
- Qualifications: Experience in data science and leadership skills are essential.
The predicted salary is between 70000 - 90000 £ per year.
Ocado Technology Group is searching for a Data Science Manager to lead a high-performing team in London or Krakow. The role includes overseeing machine learning systems development, providing technical leadership, and mentoring data scientists. You will work closely with multiple teams to integrate ML products and ensure high-quality production systems. The position offers hybrid working and comprehensive benefits, including flexible leave policies and health support.
Data Science Manager — Fulfilment & Logistics (Hybrid) in London employer: Ocado Technology Group
Contact Detail:
Ocado Technology Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager — Fulfilment & Logistics (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Ocado Technology Group on LinkedIn. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects and any leadership experiences. We want to see how you’ve tackled real-world problems and led teams to success.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data science concepts and coding skills. We recommend mock interviews with friends or using online platforms to simulate the experience.
✨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 proactive about their job search!
We think you need these skills to ace Data Science Manager — Fulfilment & Logistics (Hybrid) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Manager role. Highlight your experience in machine learning systems and any leadership roles you've had. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention your experience with mentoring and collaboration, as these are key for us.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your technical skills and leadership abilities. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Ocado Technology Group
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your previous projects in detail, especially those that involved overseeing systems development or mentoring others. This will show that you have the technical chops for the role.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll need to demonstrate your ability to lead a team. Prepare examples of how you've successfully managed projects or mentored team members in the past. Highlight your approach to fostering collaboration and driving results within a team.
✨Understand the Business Context
Get familiar with Ocado Technology Group's operations, especially in fulfilment and logistics. Think about how data science can enhance these areas and be ready to share your insights during the interview. This shows that you're not just a techie but also understand the bigger picture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their current ML products, team dynamics, and how they measure success. This not only shows your interest in the role but also helps you gauge if it's the right fit for you.