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- Tasks: Lead data science teams to optimise logistics and fulfilment using ML and advanced algorithms.
- Company: Join Ocado Technology, a leader in online grocery retail and innovative tech solutions.
- Benefits: Enjoy hybrid working, generous leave, private medical insurance, and leadership bonuses.
- Other info: Dynamic work environment with opportunities for professional growth and collaboration.
- Why this job: Make a real impact by transforming great research into production-scale solutions.
- Qualifications: Expertise in ML deployment, strong communication skills, and leadership experience required.
The predicted salary is between 80000 - 100000 £ per year.
Director of Data - Logistics & Fulfilment | London & Hatfield | Hybrid
This is a two-day onsite opportunity, split between our Tech Hub in Old Street and our HQ in Hatfield.
About us: Ocado Technology is putting the world's retailers online using the cloud, robotics, AI, and IoT. We develop the innovative software and systems that power Ocado.com, the world's largest online-only grocery retailer, as well as the global 'Ocado Smart Platform'. We champion a value-led culture of Trust, Autonomy, Craftsmanship, Collaboration, and Learn Fast to help our teams work at their very best.
About the role: This is a strategic leadership position sitting at the intersection of complex maths and physical reality. You will lead a high-impact cluster of four teams covering a broad spectrum of interesting and challenging areas including Logistics optimisation (algorithms for routing optimisation), applied ML (for continuously improving our drive/drop time estimates), forecasting and modelling. Our data teams within Logistics research and build the algorithms that optimise decisions for the world’s most advanced warehouses and delivery networks. You’ll be responsible for the strategy and delivery of data science, ML, and operations research across both Logistics and Fulfilment (CFCs). We need a leader who can take us from 'great research' to 'production-scale impact,' energising the team to push boundaries rather than settling for the status quo.
What the role involves:
- Fostering a tight working relationship between data science and engineering to move ML models into production at scale.
- Overseeing the long-term vision for our 4-team data science group, ensuring research depth translates into operational value.
- Supporting and developing our data science crafts while helping the wider organisation understand where the biggest opportunities live.
- Working with Data Engineering and Analytics to embed a strategy that captures the right metrics for better product decisions.
- Line managing Data Team Leaders and representing the data function within the Logistics and Fulfilment Senior Leadership Teams.
What we're looking for:
- In-depth knowledge of ML, and how to deploy models in production at scale (MLOps).
- A proactive problem solver comfortable with the ambiguity of physical hardware and complex logistics.
- A strong communicator adept at data storytelling, capable of managing complex stakeholder relationships by listening as much as influencing.
- The ability to use data to help product management prioritize feature development and measure improvements post-release.
- A leader who creates happy, high-performing teams through coaching, 1:1s, and a commitment to knowledge sharing.
What do I get in return:
- Hybrid working pattern (2 days in the office).
- Wellbeing support through Apps such as Unmind and an Employee Assistance Programme.
- 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase).
- Pension scheme (various options available including employer contribution matching up to 7%).
- Private Medical Insurance.
- 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete).
- Train Ticket loan (interest-free).
- Cycle to Work Scheme.
- Share options.
- Leadership bonuses.
- Opportunity to participate in Share save and Buy as You Earn share schemes.
- 15% discount on Ocado.com and free delivery for all employees.
- Income Protection (can be up to 50% of salary for 3 years) and Life Assurance (3 x annual salary).
Data Director - Logistics & Fulfilment in London employer: Ocado Group
Contact Detail:
Ocado Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Director - Logistics & Fulfilment in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Ocado or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by diving deep into logistics and data science topics. Brush up on your ML knowledge and be ready to discuss how you've tackled complex problems in the past. Show them you're not just a candidate, but a solution provider!
✨Tip Number 3
Don’t underestimate the power of storytelling! When discussing your experience, frame it in a way that highlights your impact. Use data to back up your claims and make your achievements relatable to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our team at Ocado Technology. Let’s get you on board!
We think you need these skills to ace Data Director - Logistics & Fulfilment in London
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science and logistics shine through. We want to see how your experience aligns with our mission of optimising logistics and fulfilment using innovative tech.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Director role. Highlight relevant experiences that showcase your leadership in ML and data strategy, and don’t forget to mention any successful projects you've led!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your achievements and how they relate to the role. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Ocado Technology.
How to prepare for a job interview at Ocado Group
✨Know Your Data Inside Out
Make sure you have a solid grasp of the latest trends in machine learning and data science, especially as they relate to logistics and fulfilment. Be prepared to discuss specific algorithms you've worked with and how they've impacted production at scale.
✨Showcase Your Leadership Skills
As a Data Director, you'll need to demonstrate your ability to lead high-performing teams. Share examples of how you've fostered collaboration between data science and engineering, and how you've energised teams to push boundaries in their work.
✨Master the Art of Data Storytelling
Practice articulating complex data insights in a way that's easy to understand for stakeholders. Use real-life examples to illustrate how your data-driven decisions have led to successful outcomes, and be ready to discuss how you prioritise feature development based on data.
✨Prepare for Problem-Solving Scenarios
Expect to face ambiguous situations during the interview. Prepare to discuss how you've tackled complex logistics challenges in the past, and be ready to think on your feet about potential solutions using data and ML.