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

Apply Now

Senior Data Scientist

DELIVEROO
London
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Get started with your online application.

Not quite your dream role? Sign up to get notified when the right vacancy comes along.

The Data & Science Org

At Deliveroo, we have an outstanding data science organization with a mission to enable high-quality human and machine decision-making. We collaborate across the company—product, business, and platform teams—using analysis, experimentation, causal inference, and machine learning techniques. We are uniquely positioned to leverage data to improve decisions and enhance data literacy across Deliveroo.

Data Scientists at Deliveroo report to our data science management team. We have an active community with guest lecturers, study groups, mentorship programs, and a robust technical review process, providing many learning opportunities. Data Scientists can advance as technical leads or as people managers.

Our data scientists come from diverse backgrounds, united by excellence. Many are formally trained in data science, and many are not. We celebrate diversity and have a dedicated data science diversity committee.

As a data scientist at Deliveroo, your primary goal is to maximize business impact within one of our many areas. You will address questions such as:

  • Which markets/cities should we enter next?
  • How can we incentivize good rider behavior?
  • What is the impact of exclusive deals with restaurants?
  • How do we optimize our compensation policy to keep customers satisfied?
  • What are the trade-offs between growth and profitability?
  • How should our pricing vary by distance and market?
  • What is the optimal restaurant selection and variety in a given area?
  • How can we adapt our consumer app for grocery shoppers?

Your work will have a direct, measurable impact on the company's bottom line.

Requirements

  • 6+ years experience in Data Science or similar roles.
  • Excellent communication skills—verbal, written, and in code—for technical and non-technical audiences.
  • A problem solver with a deep analytical mindset.
  • Creative and insightful thinking about business problems.
  • Strong attention to detail and critical thinking.
  • Proficiency with tools like R/Python and familiarity with SQL.
  • A pragmatic, flexible approach focused on impact.
  • Excellent interpersonal skills for stakeholder engagement and translating business needs into data science problems.

At Deliveroo, we tackle challenging problems with enormous scope for growth and personal impact.


#J-18808-Ljbffr

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.