Now, we're on the lookout for a Data Science Manager to lead the team shaping the future of data-powered advertising at Skyscanner - helping our partners reach millions of travellers through smarter targeting, better insights, and more effective campaigns!About the roleHybridThis is a high-impact leadership role at the heart of one of Skyscanner's core revenue streams. You'll lead a cross-functional team focused on building innovative, data-driven advertising products - using experimentation, machine learning and analytics to improve how our partners engage with travellers.From targeting and relevance to forecasting and performance optimisation, your work will combine technical depth, business acumen and people leadership. You'll partner closely with Product, Engineering, Commercial and Marketing to evolve our advertising platform and unlock new value for both partners and travellers.What you'll be doingLeading and growing a team of data scientists - fostering a culture of technical excellence, inclusion and continuous learningOwning the delivery of applied data science projects across targeting, relevance, campaign performance and platform optimisationCollaborating with Engineering, Product and Commercial to shape and deliver the advertising data science roadmapScoping and prioritising work to ensure smooth, impactful execution - supporting the team hands-on across modelling, experimentation and product integrationDriving best practices in ML engineering and experimentation - including model monitoring, MLOps and framework developmentIdentifying new opportunities where data science can support partner success and drive business growthContributing to cross-disciplinary initiatives that improve hiring, onboarding, community and career development across the DS disciplineAbout youExperienced leader: You've led high-performing data science teams and have delivered applied ML and experimentation solutions in productionCommercially minded: You understand the business levers behind AdTech and analytics platforms - and how data science can influence themClear communicator: You can align stakeholders across disciplines and translate technical work into real business impactTechnically strong: Proficient in Python, with experience using experimentation frameworks. Familiarity with Spark, Airflow and GCP or AWS is a plusStrategic and pragmatic: You're comfortable navigating ambiguity - prioritising work that delivers measurable value while keeping the long-term vision in viewSupportive mentor: You coach others through feedback, guidance and by creating a psychologically safe and empowering team environmentLifecycle fluent: You know the full data science journey - from ideation and exploration to deployment, monitoring and iteration in productionBias to impact: You're not just interested in models - you care about how they land, how they're used, and the value they unlockSustainability and accessibility focused: You think in systems and solutions, always aiming for simplicity, inclusivity and long- term value.#LI-FM1
