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- Tasks: Transform business challenges into data-driven solutions and collaborate with a dynamic team.
- Company: Join Legend, a leading company in iGaming and personal finance with a vibrant culture.
- Benefits: Enjoy flexible work-life balance, annual bonuses, and paid leave during the festive season.
- Why this job: Make a real impact by applying your data science skills to exciting global projects.
- Qualifications: Strong foundation in statistical analysis, Python, and SQL; collaborative mindset is a must.
- Other info: Diverse perspectives are valued; we encourage all to apply!
The predicted salary is between 28800 - 48000 £ per year.
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!
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 on talent@l1.com, and we’ll do all we can to support you.
Data Scientist in City of London employer: Legend Corp
Contact Detail:
Legend Corp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of London
✨Tip Number 1
Get to know the company inside out! Research Legend's products and values so you can tailor your conversations during interviews. This shows you're genuinely interested and ready to contribute to their mission.
✨Tip Number 2
Practice your technical skills before the interview. Brush up on your Python and SQL, and be ready to discuss how you've applied these in real-world scenarios. We want to see your problem-solving skills in action!
✨Tip Number 3
Don’t underestimate the power of networking! Connect with current or former employees on LinkedIn to gain insights about the company culture and the role. They might even share tips that could give you an edge in the interview process.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and keen to join the Legend team!
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Show Your Data Science Skills: Make sure to highlight your experience with statistical analysis and machine learning methods in your application. We want to see how you can apply these skills to real business problems, so don’t hold back on showcasing your projects!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past experiences and how they relate to the role. Remember, we’re looking for someone who can communicate insights effectively to both technical and non-technical audiences.
Collaborate and Connect: Emphasise your collaborative mindset in your application. Mention any experiences where you’ve worked with analysts, engineers, or other teams. We love seeing how you can work together to deliver impactful solutions!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling. Plus, it shows you’re keen on joining the Legend team!
How to prepare for a job interview at Legend Corp
✨Know Your Data Science Stuff
Make sure you brush up on your statistical analysis and machine learning methods. Be ready to discuss how you've applied these techniques in real-world scenarios, as this will show your practical understanding of the role.
✨Master Your Coding Skills
Since proficiency in Python and SQL is key, practice writing clean, efficient code. Familiarise yourself with version control and be prepared to showcase your coding practices during the technical task.
✨Communicate Like a Pro
You’ll need to present insights to both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and think about how you can frame uncertainty and trade-offs clearly.
✨Collaborate and Show Curiosity
Demonstrate your collaborative mindset by sharing examples of how you've worked with cross-functional teams. Also, express your eagerness to learn and seek feedback, as this aligns with Legend's values.
