Data Scientist

Data Scientist

Department: 77-893 - Subscription - Digital Acquisition Media

Employment Type: Permanent - Full Time

Location: UK - London

Description

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.

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

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.

#J-18808-Ljbffr