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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 innovation.
- Benefits: Enjoy hybrid working, generous leave, private medical insurance, and share options.
- Why this job: Make a real impact in logistics with cutting-edge technology and a supportive team.
- Qualifications: Expertise in ML deployment and strong leadership skills required.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
The predicted salary is between 80000 - 100000 £ per year.
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
- 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 employer: Ocado Technology Group
Contact Detail:
Ocado Technology Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Director - Logistics & Fulfilment
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Ocado Technology. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with ML and logistics optimisation. Bring these along to interviews to demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Be ready to discuss your vision! Ocado is all about innovation, so think about how you can take their data science from 'great research' to 'production-scale impact'. Share your ideas during interviews to stand out.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Ocado Technology.
We think you need these skills to ace Data Director - Logistics & Fulfilment
Some tips for your application 🫡
Show Your Passion for Data: When 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 complex systems and making a real impact in the industry.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with ML, data storytelling, and team leadership. We love seeing how you can bring your unique skills to our innovative environment.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and how they relate to the role. We appreciate candidates who can communicate complex ideas simply and effectively.
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. We can’t wait to hear from you!
How to prepare for a job interview at Ocado Technology Group
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of machine learning and data science principles, especially how they apply to logistics and fulfilment. Be ready to discuss specific algorithms you've worked with and how you've deployed them in production. This will show that you can bridge the gap between research and real-world application.
✨Showcase Your Leadership Style
Prepare to talk about your experience in leading teams, particularly in a data-driven environment. Think of examples where you've fostered collaboration and innovation among your team members. Highlight how you’ve supported their growth and how you plan to energise the teams at Ocado Technology.
✨Communicate Clearly and Effectively
Since this role involves managing complex stakeholder relationships, practice your data storytelling skills. Be ready to explain technical concepts in a way that’s accessible to non-technical stakeholders. This will demonstrate your ability to influence and listen, which is crucial for the position.
✨Understand the Business Impact
Research Ocado Technology's operations and think about how data science can drive value in logistics and fulfilment. Prepare to discuss how you would prioritise feature development based on data insights and how you measure success post-release. This shows that you’re not just focused on the tech but also on delivering operational value.