Data Scientist

Why Join DAZN? 

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. 

The Role: Data Scientist 

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. 

Department

77-893 - Subscription - Digital Acquisition Media

Employment Type

Permanent - Full Time

Location

UK - London

Workplace type

Hybrid

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

Benefits include 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, and access to our internal speaker series and events.

About DAZN

At DAZN, we bring ambition to life. We are innovators, game-changers and pioneers. So, if you want to push boundaries and make an impact, DAZN is the place to be. 

As part of our team, you'll have the opportunity to make your mark and the power to make change happen. We're doing things no-one has done before, giving fans and customers access to sport anytime, anywhere. We're using world-class technology to transform sports and revolutionise the industry and we're not going to stop. 

DAZN VALUES – THE ‘HOW’ IN WHAT WE DO:  

Agility and creativity fuel growth and innovation, to Make It Happen. 

Prioritising what matters drives progress and positive outcomes, Focusing On Impact. 

Collective ambition builds optimism and success, in order to Win As One. 

At DAZN, we are committed to fostering an inclusive environment that values equality and diversity, where everyone can contribute and have their voices heard. This means hiring and developing talent across all races, ethnicities, religions, age groups, sexual orientations, gender identities and abilities. 

If you’d like to include a cover letter with your application, please feel free to. Please do not feel you need to apply with a photo or disclose any other information that is not related to your professional experience.

Our aim is to make our hiring processes as accessible for everyone as possible, including providing adjustments for interviews where we can.

We look forward to hearing from you.