About Legend
At Legend were building next-level player experiences. With 20 years of proven success were the worlds 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 isnt a perk its the standard. Youll 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 youre ready to shape the future of player experience and enjoy the ride while you do it this is where youll 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 dont 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 Youll Bring
- Masters degree in a quantitative field (e.g. Mathematics Physics Engineering Computer Science Economics)
- Self-motivated with a researchers 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
Nice to haves
- 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 Years 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.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
Employment Type: Full-Time
Experience: years
Vacancy: 1
Required Experience : IC
Legend is an Equal Opportunity Employer but thats just the start. We believe different perspectives help us grow and achieve more. Thats why were 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 emailprotected and well do all we can to support you.
