Data Scientist

About Legend At Legend, we're building next-level player experiences. With 20+ years of proven success we’re the world's leading Sports and Gaming marketing company. Our people are our edge. 600+ sharp, ambitious Legends across 22+ countries who move fast, learn quickly and win together. Here growth isn’t a perk, it’s the standard. You’ll stretch, level-up and carve out a career as bold as the products we build. We celebrate wins and create experiences that people talk about for years - for our players & for each other. If you’re ready to shape the future of player experience and enjoy the ride while you do it, this is where you’ll thrive. The Role Legend is hiring a Data Scientist to join our central Data & Analytics function, working alongside data analysts, engineers, and senior data scientists. The role contributes to the development of predictive models and analytical products that drive decision-making across marketing, product, and commercial teams. This position is ideal for someone ready to apply numerical modelling and engineering skills to real-world business problems, working within a supportive, high-performing environment where ownership, rigour, and learning are prioritised. Projects span various data science domains, including anomaly detection, forecasting, optimisation, recommendations, ranking, experimentation, and AI, each focused on measurable business outcomes and delivered through collaboration with data and product teams. In this role, we value diverse perspectives and encourage you to apply even if you don't meet every qualification listed. Your Impact:

Scope and validate analytical solutions aligned with clear business objectives

Prepare and clean data in collaboration with engineers and analysts to ensure accuracy and usability

Build models (under mentorship) using the full range of data science techniques, from statistics and econometrics to machine learning and mathematical optimisation.

Contribute to model development across supervised and unsupervised ML techniques under mentorship

Monitor and document model performance, flagging issues and iterating where appropriate

Present findings clearly to technical and non-technical audiences to inform decision-making across teams

What You’ll Bring:

Master’s degree in a quantitative field (e.g. Mathematics, Physics, Engineering, Computer Science, Economics)

Self-motivated with a researcher’s mindset to tackle ambiguous challenges and drive solutions with minimal guidance

Demonstrated experience applying data science techniques to business problems

Proficient in SQL, Python, and standard data science libraries

Foundational engineering skills, including version control (Git), collaborative development tools (Github) and command-line tools (Bash)

Self-directed learner who thrives in cross-functional teams

A PhD or demonstrated research experience

Exposure to cloud-based data environments (Snowflake, AWS, Airflow or similar)

Experience working on model deployment and Docker containers

Knowledge of A/B testing frameworks

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.