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Data Director
Director of Data - Logistics & Fulfilment London | Hybrid – Two-day onsite opportunity (Tech Hub in Old Street or HQ in Hatfield)
About Ocado Technology
Ocado Technology enables the world’s retailers to go online by leveraging the cloud, robotics, AI, and IoT. We develop the cutting-edge systems powering Ocado.com—the largest online-only grocery retailer globally—and the Ocado Smart Platform.
Our culture thrives on values like Trust, Autonomy, Craftsmanship, Collaboration, and a growth mindset (Learn Fast).
About the Role
This is a strategical leadership position bridging complex mathematical models with real-world logistics challenges. You’ll lead a high-impact team of four, covering:
- Logistics optimisation (algorithmic routing solutions for warehouses)
- Applied Machine Learning (fine-tuning drive/drop time predictions)
- Forecasting and predictive modelling for decision-making
You’ll own the strategy and execution of data science, machine learning, and operations research across Logistics and Fulfilment (Customer Facing Centres, or CFCs). The goal? Turning cutting-edge research into scalable production impact—equipping your team to push beyond incremental gains while fostering a culture that champions innovation over stagnation.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Build and sustain a strong collaboration between data science and engineering, ensuring seamless MLOps deployments.
- Define the long-term vision for your four-team data science division, ensuring the depth of research translates into operational value.
- Upskill and inspire data scientists, aligning their capabilities with business opportunities.
- Partner with Data Engineering and Analytics to define key performance metrics for data-driven decision-making.
- Lead and mentor Data Team Leaders, with a seat in the Senior Leadership Teams for Logistics and Fulfillment.
Requirements
- Proven expertise in Machine Learning, production-scale deployment strategies (i.e., MLOps).
- Experience navigating ambiguity — whether in hardware constraints, supply-chain logistics, or complex workflows.
- Exceptional communicator—able to tell data-driven stories, bridge gaps between technical and business stakeholders, and balance influence with active listening.
- A data-literate decision-maker helping product management refine priorities, develop features, and measure post-release impact.
- A leadership style defined by coaching, candid 1:1s, and fostering teamknowledge-sharing.


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Benefits
Hybrid work model (2 days in-office): ✅ Flexible office allocation (Old Street Tech Hub or Head Office, Hatfield) ✅ Wellbeing initiatives (Unmind platform + Employee Assistance Programme) ✅ 25 days annual leave (increasing to 27 days with 5+ years’ service) ✅ Converted holiday purchase ✅ Pension scheme with employer-matched contributions (up to 7% matching + other options) ✅ Comprehensive private health insurance ✅ Parental leave:
- 22 weeks paid maternity leave
- 6 weeks paid paternity leave (per relevant service eligibility) ✅ Company perks:
- Interest-free train ticket loan
- Cycle to Work Scheme
- Competitive share scheme options
- Leadership bonuses
- Access to Share Save and Buy as You Earn schemes
- Outside work: 15% Ocado.com discount + free delivery ✅ Financial security:
- Income protection cover (up to 50% of salary for 3 years)
- Life assurance (3x annual salary)
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