At a Glance
- Tasks: Develop predictive models and tools to drive marketing decisions and rapid experimentation.
- Company: Join DAZN, a global sports streaming platform transforming fan experiences.
- Benefits: Enjoy 25 days annual leave, private medical insurance, and flexible working options.
- Other info: Hybrid role based in London or Leeds with excellent career growth opportunities.
- Why this job: Make a real impact in a fast-paced environment at the intersection of sport and technology.
- Qualifications: Strong data science experience with advanced Python/R skills and a commercial mindset.
The predicted salary is between 50000 - 70000 £ per year.
DAZN is redefining how fans around the world experience sport. As a global sports streaming platform, we operate at the intersection of live sport, technology, and data — delivering premium content across multiple markets and sports.
Joining DAZN in London or Leeds means working in a fast-paced, international environment where speed to insight matters. This role sits close to marketing and growth decision-making, enabling rapid experimentation, modelling, and tool development that directly impacts performance.
As a Data Scientist within DAZN’s Central Marketing team, you will focus on rapid analytical product development, experimentation, and advanced modelling. This role exists to accelerate insight and decision-making where traditional delivery routes would be too slow or resource-intensive.
You will build lightweight models, tools, and prototypes that help teams test ideas quickly, understand causal impact, and act within critical opportunity windows — complementing existing analytics and engineering capability rather than replacing it. This is a hybrid role based in London or Leeds.
What You'll Be Doing:
- Develop predictive, forecasting, and optimisation models to support marketing and growth decisions
- Build rapid prototypes, tools, and analytical products to enable “fail fast” experimentation
- Design and analyse incrementality tests and experiments
- Support MMM and MTA evolution through advanced modelling and scenario analysis
- Partner with marketing analytics and research teams to operationalise insights
- Translate advanced modelling outputs into usable decision tools
- Identify opportunities where automation or modelling can materially improve speed or quality of decisions
- Work pragmatically with central tech and data teams where solutions need to scale
What You'll Bring:
- Strong experience in data science applied to marketing or growth problems
- Advanced Python and/or R skills
- Experience with experimentation, causal inference, or incrementality testing
- Solid SQL and cloud data experience (Snowflake, BigQuery, or similar)
- Ability to move from problem definition to working solution quickly
- Strong communication skills for explaining complex concepts simply
- Commercial mindset with bias toward impact over perfection
Benefits:
- Access to DAZN
- 25 days’ annual leave (increasing by 3 days after 3 years)
- Private medical insurance
- Life assurance
- Pension contributions up to 5%
- Family friendly community including enhanced parental leave
- Electric vehicle benefit option
- Learning and development resources
- Opportunity for flexible working
- Access to our internal speaker series and events
Data Scientist in London employer: DAZN
DAZN is an exceptional employer for Data Scientists, offering a dynamic and innovative work environment in London or Leeds. With a strong focus on employee growth, DAZN provides extensive learning resources, flexible working options, and a supportive community that values family-friendly policies. The opportunity to work at the forefront of sports technology and data analytics, combined with competitive benefits like private medical insurance and generous annual leave, makes DAZN a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at DAZN. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to marketing or growth. This will give you an edge during interviews.
✨Tip Number 3
Prepare for the technical side! Brush up on your Python, R, and SQL skills. Be ready to tackle real-world problems during interviews to demonstrate your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Scientist role. Highlight your experience with predictive modelling, experimentation, and any relevant tools like Python or SQL. We want to see how your skills align with what we do at DAZN!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science in marketing and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool data science projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build models and tools. We’re all about innovation and rapid experimentation here at DAZN.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at DAZN
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and R. Be ready to discuss your experience with predictive modelling and experimentation, as these are key for the role at DAZN.
✨Show Off Your Problem-Solving Skills
Prepare to talk about specific problems you've solved using data science. Think of examples where you moved from problem definition to a working solution quickly, as this aligns with what DAZN is looking for.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. DAZN values strong communication skills, so be ready to demonstrate how you can translate advanced modelling outputs into actionable insights.
✨Be Ready for Rapid Experimentation
Familiarise yourself with the concept of 'fail fast' experimentation. Be prepared to discuss how you've built prototypes or tools that enable quick testing of ideas, as this is crucial for the role.
