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Data Science Manager - Fulfilment

Ocado Group

City of Westminster

Hybrid

GBP 80,000 - 100,000

Full time

Today
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Job summary

A leading online grocery technology company in the UK seeks a Product Analytics Leader to drive product strategy and lead a high-performing team. The role involves utilizing data-driven insights, advanced analytics, and fostering a culture of clarity and empowerment. Candidates must have experience with causal inference, SQL, and Python, with a clear path for growth towards Director-level leadership.

Benefits

Hybrid working (2 days in the office)
30 days work from anywhere globally
Remote working for August + 50% of December
Wellbeing support through apps such as Unmind
25 days annual leave, rising to 27 after 5 years
Pension scheme with employer contribution
Private Medical Insurance
22 weeks paid maternity leave
15% discount on Ocado.com

Qualifications

  • Strong foundations in causal inference, experimentation, and statistical modelling.
  • Hands-on experience with SQL and Python (Pandas, SciPy, etc.)
  • Deep understanding of product metrics and experience in product‑led organisations.

Responsibilities

  • Drive product strategy with data-driven insights.
  • Define success frameworks for measurable outcomes.
  • Champion advanced analytics and experimentation.
  • Lead and grow a high-performing product analytics team.

Skills

Causal inference
Experimentation
Statistical modelling
SQL
Python
Job description
Overview

Ocado Technology is powering the future of online retail across the globe through disruptive innovation and automation. Join us to create world‑class systems at the intersection of robotics and IoT, cloud platforms, big data, machine learning, software development, and beyond. We enable some of the world's most forward‑thinking retailers to do grocery online profitably, scalably and sustainably. In the past two decades we have developed a wide technology estate that includes robotics, AI and machine learning, simulation, forecasting and edge intelligence—all part of our game‑changing 'Ocado Smart Platform' product.

Key Responsibilities
  • Driving the Product Strategy: Partner with product leadership to ensure data‑driven insights inform the roadmap and shape our evolving technology platform.
  • Quantify and Drive Impact: Define and own success frameworks, ensuring analytical work translates into clear, measurable outcomes.
  • Champion Advanced Analytics: Advance our capabilities through cutting‑edge experimentation and causal inference methodologies.
  • Elevate Our Product Culture: Embed data‑informed thinking across teams, empowering others to make decisions with confidence and analytical rigour.
  • As a Leader, You:
    • Inspire and Empower: Build inclusive, high‑performing teams and create an environment where people do their best work.
    • Communicate with Clarity: Turn data into stories that influence decisions across product, engineering, and business teams.
    • See the Bigger Picture: Think systemically, connecting analytics to commercial and product outcomes.
    • Bring Structure to Ambiguity: Thrive in fast‑moving environments and create clarity where it's needed most.
  • Leading a High‑Performing Team: Mentor and grow our product analytics team, fostering an inclusive culture of learning and excellence.
Why You'll Love This Role

Real Impact: Work at the intersection of robotics, AI, logistics, and e‑commerce.

Ownership and Autonomy: Shape your team's strategy and approach with full leadership support.

Clear Growth Path: A genuine opportunity to progress towards Director‑level leadership.

Qualifications
  • Strong foundations in causal inference, experimentation, and statistical modelling.
  • Hands‑on experience with SQL and Python (Pandas, SciPy, etc.)
  • Deep understanding of product metrics and experience in product‑led organisations.
Benefits
  • Hybrid working (2 days in the office)
  • 30 days work from anywhere globally
  • Remote working for the month of August + 50% of December
  • 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
  • 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
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