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

Apply Now

Data Scientist

Legend Corp
City of London
1 week ago
Create job alert

We’re Legend. The team quietly building #1 products that make noise in the most competitive comparison markets in the world. iGaming. Sports Betting. Personal Finance.

We exist to build better experiences. From amplified career paths to supercharged online journeys — for our people and our users, we deliver magic rooted in method. With over 500 Legends and counting, we’re helping companies turbocharge their brand growth in over 18 countries worldwide.

If you’re looking for a company with momentum and the opportunity to progress at pace, Legend has it.

Unlock the Legend in you.

The Role

Legend is hiring a Data Scientist reporting directly to our Head of Analytics & BI. In this role, you will be able to embed advanced data science at the core of Legend’s decision-making. You will have the opportunity to transform ambiguous business challenges into measurable, scalable modelling solutions that drive growth, accelerate speed to insight, and strengthen our competitive edge.

This is an opportunity to apply and grow data science skills on real business problems. Working within Legend’s central Data & Analytics team, this role builds models, collaborates with engineers and analysts, and delivers measurable impact across products and markets. This role is ideal for developing production-grade expertise in a fast-moving, data-driven environment!

In this role, we value diverse perspectives and encourage you to apply even if you don't meet every qualification listed.

Your Impact:
  • Deliver scoped modelling projects: Build models using established methods, validate performance, and support deployment under the guidance of senior data scientists.
  • Support business problem solving: Translate defined business questions into modelling tasks, clarify assumptions, and ensure analytical rigour.
  • Collaborate across data and product teams: Work with analysts, engineers, and PMs to prepare data, integrate models, and deliver actionable outputs.
  • Apply reproducible and high-quality coding practices: Write efficient SQL and Python, maintain version control, and contribute to shared code reviews.
  • Communicate results effectively: Present insights clearly to technical and non-technical stakeholders, framing uncertainty and trade-offs with clarity.
What You’ll Bring:
  • Strong grounding in statistical analysis and core machine learning methods, applying standard techniques to defined problems.
  • Proficiency in Python and SQL for data preparation, modelling, and validation using reproducible coding practices.
  • Ability to interpret and communicate analytical results clearly to technical and non-technical audiences.
  • Collaborative mindset, working effectively with analysts, engineers, and senior data scientists to deliver solutions.
  • Curiosity and commitment to learning, actively seeking feedback and developing technical and business understanding.
The Interview Process:
  • 1st: Initial Chat with Talent Partner (30 mins via Zoom)
  • 2nd: Interview with the hiring manager (1 hour video via Zoom)
  • 3rd: Technical Task with the hiring team (1 hour video via Zoom)
  • 4th: Final interview with our team (1 hour video via Zoom)
Why Legend?
  • Super smart colleagues to work alongside and learn from.
  • Tailored flexibility for your work-life balance.
  • Annual discretionary bonus to reward your efforts.
  • Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year's, allowing you to enjoy downtime without dipping into your annual allowance.
  • Long term incentive plan so we can all share in the growth and success of Legend.
  • Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead!
  • Unlock your full potential by joining the Legend team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your talent partner.

Legend is an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and diverse team- which includes individuals with different backgrounds, abilities, identities and experiences. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team , and we'll do all we can to support you.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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.