Dazn

Senior Affiliate Executive Department: 77-291 - Subscription - Strategic Partnerships Employment Type: Permanent - Full Time Location: UK - London Description Why Join DAZN? Joining DAZN means being part of a cutting edge sports streaming company in a vibrant tech hub. You'll work alongside passionate, talented professionals on innovative projects that reach millions of fans worldwide. Our offers a dynamic work environment with a great balance of career growth and lifestyle. If you're excited about shaping the future of live and on demand sports entertainment, DAZN is the perfect place to make your mark and grow your career. The Role: As a Senior Exec, Affiliates, you'll play a critical role in engaging partners across DAZN's global business, with a specific focus on our freemium product offering; this is the customer experience and rights in front of the paywall and includes: live sports rights and our evolving product offering. You'll activate campaigns working closely with regional marketing teams, media planners, creative teams, and analysts to deliver campaigns that are effective. Based in Leeds or London in the central marketing team you will be part of the media team reporting into the Head of Affiliates with a dotted line into the SVP of Owned Media and Special Projects. You will work across different territories, sports rights and internal teams at DAZN. Gaining hands on exposure to how a global sports streaming platform operates. This is a fast moving role where curiosity, commercial thinking and strong analytical skills are essential. What You'll Be Doing: Developing and executing Affiliate marketing strategies to drive our freemium offering (rights and product) Leading end to end Affiliate and partner campaigns, from identification to activation Build strong external relationships: creators and partners Collaborating across the business to integrate affiliates across all channels Manage Budgets, timelines and deliverables to ensure seamless execution Identify emerging digital trends and cultural moments relevant to DAZN's content Ensuring DAZN's collaborations reflects DAZN's tone, values and strategic objectives What You'll Bring: Proven, hands on experience in Affiliates Ability to manage multiple campaigns simultaneously in a fast paced environment Excellent negotiation, relationship management and communication skills Passion for sport, digital and innovative marketing approaches 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.

A leading sports streaming platform is seeking a Data Scientist to develop analytical tools that drive marketing growth decisions. You will create predictive models, support experimentation processes, and partner with central tech teams. Ideal candidates have strong experience in data science, especially in marketing contexts, and proficiency in Python and SQL. The role is hybrid, based in London, with comprehensive benefits including private medical insurance and enhanced parental leave.

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.