Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Manager

Deliveroo
City of London
1 week ago
Create job alert

Join to apply for the Data Science Manager role at Deliveroo


4 days ago Be among the first 25 applicants


Join to apply for the Data Science Manager role at Deliveroo


About The Team

At Deliveroo, our outstanding data science organisation aims to enable top-tier human and machine decision-making. We collaborate across product, business, and platform teams using analysis, experimentation, causal inference, and machine learning techniques. Our goal is to leverage data to facilitate better decisions and enhance data literacy throughout Deliveroo.


Our team members employ a broad spectrum of technical skills: building analytical tools, informing decision-making with bespoke and automated analysis, running experiments, performing causal analysis, providing impact estimates for planning, developing production machine learning and optimisation models, and upskilling the company in data literacy and data-driven decision-making.


Data scientists at Deliveroo report to our data science management team. We foster a vibrant community with guest lecturers, a robust technical review process, a clear career progression framework, and ample learning opportunities. We offer career pathways for both managers and individual contributors. Our data scientists come from diverse backgrounds, united by a commitment to excellence.


About The Role

We seek a data science manager to join our management team. The ideal candidate will:



  • Have experience managing data scientists and guiding their career growth.
  • Possess hands-on experience as a senior-level individual contributor, familiar with experimentation, causal analysis, and data visualization.
  • Identify opportunities where data science can add value, and translate insights into strategies and execution plans.
  • Work comfortably with stakeholders up to C-level, guiding company strategy and explaining technical solutions clearly.
  • Lead a diverse, high-performing team, fostering cohesion and excellence.
  • Manage multiple teams across different business areas, with strong prioritization skills.
  • Thrive in a fast-paced, ever-changing environment with high standards.
  • Adopt a pragmatic, flexible approach focused on impact.


Workplace & Benefits

At Deliveroo, employees are our priority. Benefits vary by country but typically include healthcare, well-being programs, parental leave, pensions, and generous annual leave, including charitable time off. Please consult your recruiter for specific details.


Diversity

We believe a great workplace reflects the diversity of the world we live in. We welcome all backgrounds, genders, races, sexualities, religions, and identities. A passion for food and a desire to join a rapidly growing industry are all you need. We are committed to equity and inclusion, providing adjustments during the application and interview process as needed.


Additional Information


  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Engineering and IT
  • Industries: Internet, Marketplace Platforms


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.