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- Tasks: Lead data science teams and drive impactful data-led decisions in a fast-paced environment.
- Company: A leading food delivery service in Greater London with a supportive workplace culture.
- Benefits: Competitive compensation, learning opportunities, and a focus on professional development.
- Why this job: Make a real impact by leading innovative data science projects in a dynamic industry.
- Qualifications: Strong expertise in managing data scientists and hands-on experimentation skills.
- Other info: Join a high-performing team and thrive in a culture of continuous learning.
The predicted salary is between 48000 - 72000 £ per year.
A leading food delivery service in Greater London seeks a Data Science Manager to oversee analytical directions and lead high-performing data science teams. Candidates should have strong expertise in line managing data scientists, be hands-on with experimentation and able to work closely with senior stakeholders. This role emphasizes driving impactful data-led decisions in a fast-paced environment. The company offers competitive compensation and a supportive workplace culture focused on learning and development.
Data Science Manager: Lead Impact & ML at Scale in London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager: Lead Impact & ML at Scale in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company 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 data science projects, especially those that demonstrate your ability to drive impactful decisions. This will help us stand out in interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on how you've led teams and tackled challenges in fast-paced environments.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Science Manager: Lead Impact & ML at Scale in London
Some tips for your application 🫡
Show Your Leadership Skills: As a Data Science Manager, we want to see how you’ve led teams in the past. Share specific examples of how you've managed data scientists and driven impactful projects. This will help us understand your leadership style and how you can contribute to our high-performing teams.
Be Hands-On with Your Experience: We love candidates who are not just managers but also hands-on practitioners. Highlight your experience with experimentation and any relevant projects where you’ve applied machine learning techniques. This shows us that you’re ready to dive into the work alongside your team.
Connect with Stakeholders: In this role, working closely with senior stakeholders is key. Make sure to mention any experiences where you’ve successfully collaborated with different teams or departments. This will demonstrate your ability to drive data-led decisions across the organisation.
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our supportive workplace culture focused on learning and development!
How to prepare for a job interview at Deliveroo
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals. Be ready to discuss your experience with machine learning, experimentation, and how you've led teams in the past. Prepare examples that showcase your hands-on skills and how you've driven impactful decisions using data.
✨Understand the Company’s Mission
Research the food delivery service and understand their goals and challenges. Think about how your expertise can help them achieve their objectives. This will not only show your interest but also help you tailor your answers to align with their needs.
✨Prepare for Stakeholder Conversations
Since this role involves working closely with senior stakeholders, practice articulating complex data concepts in simple terms. Be ready to discuss how you've successfully communicated insights to non-technical audiences in the past.
✨Showcase Your Leadership Style
As a Data Science Manager, your leadership style is crucial. Be prepared to talk about how you manage and motivate your team, handle conflicts, and foster a culture of learning and development. Share specific examples of how you've built high-performing teams.
