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Data Scientist

Legend

City Of London

On-site

GBP 55,000 - 85,000

Full time

Today
Be an early applicant

Job summary

A leading technology firm in London is seeking a Data Scientist to embed advanced data science into decision-making. You will transform business challenges into scalable models and collaborate across teams. Ideal candidates will have strong statistical, Python, and SQL skills, and a passion for learning. This role promises growth and impact in a fast-paced environment.

Benefits

Annual discretionary bonus
Paid annual leave with festive break
Long-term incentive plan
Engaging development opportunities
Tailored flexibility for work-life balance
Exciting global events

Qualifications

  • Strong grounding in statistical analysis and core machine-learning methods.
  • Proficiency in Python and SQL for data preparation and modelling.
  • Ability to interpret and communicate analytical results clearly.
  • Collaborative mindset working with teams to deliver solutions.
  • Curiosity and commitment to learning.

Responsibilities

  • Build models using established methods and validate performance.
  • Support business problem solving by translating questions into modelling tasks.
  • Work with analysts, engineers, and PMs to deliver actionable outputs.
  • Write efficient SQL and Python, maintaining version control.
  • Present insights to technical and non-technical stakeholders.

Skills

Statistical analysis
Machine-learning methods
Python
SQL
Analytical communication
Collaborative mindset
Curiosity
Job description
About Legend

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.
  • Engaging development opportunities at all levels.
  • 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 onontalent@l1.com, and we’ll do all we can to support you.

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