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Senior Data Scientist

ocadogroupLondon, United KingdomFull-timeSalary not listed · Typical pay in United KingdomPosted Nov 6, 2026

ocadogroup is hiring for the position of Senior Data Scientist in London, United Kingdom. The listing describes it as a full-time, senior position with hybrid working.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

ocadogroup is hiring for the position of Senior Data Scientist in London, United Kingdom. The listing describes it as a full-time, senior position with hybrid working.

The advert mentions Python, machine learning, supply chain, logistics and research among the skills and tools for this role.

The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.

Benefits mentioned in the advert: health insurance, pension or retirement plan, paid time off and parental leave.

Visa sponsorship is not mentioned. Applicants from outside United Kingdom should check the official work permit route before applying.

Dev Global Jobs found this job on Arbeitnow on Nov 6, 2026.

Employer
ocadogroup
Location
London, United Kingdom
Work mode
hybrid
Job type
Full-time
Level (from the title)
senior
Pay
Not stated by the employer
Found
Nov 6, 2026 on Arbeitnow
Employer text
703 words, about 3 min to read
Skills named in the advert
Pythonmachine learningsupply chainlogisticsresearch
Before you apply
  • Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
  • Mirror the skills the advert names (Python, machine learning, supply chain and logistics) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 3 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 6, 2026
Pay benchmark
Average wage, United Kingdom
GBP 46,511 average / year

Source: OECD Average annual wages, 2025

Cost of living · United Kingdom
100.5 vs New York = 100

UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
  • Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
  • Global Talent visa: Endorsement as a leader or potential leader in a listed field

Official routes: UK Visas and Immigration (GOV.UK)

Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

01Introduction

We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology.

02About the Role

As a Senior Data Scientist within our Autoplanner team, you will build AI-powered systems that unify planning across global warehouses and last-mile operations. You will be responsible for developing the machine learning models, optimisation algorithms, and operational simulations that underpin our core planning products. By taking high-impact models from concept through to monitored production systems, you will ensure automated operational plans are robust, globally optimised, and trusted to run live across our partners' international supply chains.

Working closely with cross-functional software engineers and product managers, you will set the technical direction for key initiatives while mentoring colleagues to elevate the team’s overall data science capabilities. You will also engage directly with internal and external stakeholders, including global retail partners - to translate complex logistics challenges into production-ready data science solutions, shaping the future of autonomous operational planning.

03Key Responsibilities

  • Deliver machine learning models for planning products, iterating from initial prototype to evaluated and monitored production artefacts.
  • Explore innovative modelling and optimisation approaches, benchmarking and testing them rigorously against existing solutions.
  • Build and extend simulations of warehouse operations and customer demand to validate and power live operational plans.
  • Define and measure business-critical metrics using robust statistical techniques, establishing the team's standards for model evaluation.
  • Set the technical direction and delivery strategy for the data science initiatives you lead.
  • Develop the technical capabilities of data scientists across the team through mentoring, technical guidance, and collaboration.
  • Partner with software engineers to ensure models are cleanly packaged, deployed, monitored, and efficiently served on the platform.
  • Own relationships with product managers, internal partner teams, and external retailers to align on requirements and delivery roadmaps.

What We’re Looking For: Essential

  • Proven track record of taking data science and machine learning models into production, maintaining them, and leading initiatives end-to-end.
  • Strong machine learning and statistical expertise, including the ability to evaluate model performance rigorously against business metrics.
  • Fluency in writing production-quality Python code.
  • Experience querying and working with large datasets in cloud data warehouses such as BigQuery, including implementing data-quality checks.
  • Experience building simulations or stochastic models of operational systems.
  • Practical experience using AI coding agents, alongside the critical judgement to verify and test generated code and outputs.
  • Demonstrated ability to collaborate effectively with software engineers, product managers, and diverse business stakeholders.

Nice to Haves

  • Experience with mathematical optimisation frameworks and toolkits, such as OR-Tools.
  • Experience with discrete-event simulation libraries, such as SimPy.
  • Background or domain knowledge in logistics, supply chain, or operational research.

04Benefits

We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here’s a snapshot of what you can expect:

  • Time to recharge: 25 days annual leave (rising to 27 after 5 years), plus the option to buy more, and 30 days a year to work from anywhere in the world.
  • Health & wellbeing: Private Medical Insurance from your first month, wellbeing support through specialist apps and EAP, plus Income Protection and Life Assurance.
  • Family-first policies: 22 weeks paid maternity/primary carer leave and 6 weeks paid paternity leave
  • Financial support: Pension with employer matching up to 7%, share schemes (Sharesave & BAYE), and interest-free loans for train tickets.
  • Commuter perks: Cycle to Work Scheme and free shuttle buses to/from Hatfield and Welwyn Garden City stations.
  • Exclusive discounts: 15% off at Ocado.com with free delivery (starting in your first month).

Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application.

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