Everyone loves travelling, but planning is not without its challenges. That's why we've spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 100 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily.
Joining Skyscanner means becoming part of a global brand that's striving to become the planet's go-to travel hack accessible for all.
Our vision? To be the world's number one travel ally. (Ambitious? Yes, but, hey, that's what got us here.)
Now, we’re on the lookout for a Data Science Manager to lead the team powering our internal experimentation platform — a critical pillar of how we test, learn, and improve the travel experience for millions!
About the role
(Hybrid)
This is a high-impact leadership role focused on enabling smarter, faster decisions across Skyscanner. You’ll lead the team behind WISE — our in-house experimentation platform — developing the tools, frameworks and statistical features that help teams across the business explore new ideas with confidence.
You’ll work at the intersection of data science, engineering, and product, guiding both technical delivery and team growth. The scope extends beyond experimentation too — into areas like anomaly detection, forecasting, and bot detection — helping improve performance, reliability and decision quality at scale.
What you'll be doing
Leading and growing a team of data scientists focused on experimentation enablement, internal analytics tooling, and measurement
Developing and maintaining WISE, Skyscanner’s experimentation library — ensuring statistical rigour, scalability, and usability across teams
Collaborating with product managers and engineers to define features, deliver PoCs, and bring statistical tooling into production
Designing advanced statistical features such as Bayesian methods, sequential testing and causal inference to support evolving experimentation needs
Promoting experimentation best practices across the business — shaping how Skyscanner tests and learns
Supporting internal measurement initiatives like anomaly detection, forecasting and LTV modelling — from ideation through to deployment
Fostering a team culture grounded in learning, curiosity, and high standards in both statistical thinking and software development
Representing the team in cross-functional forums, advocating for experimentation and internal tooling as key strategic enablers
About you
Experienced leader: You’ve led high-performing data science teams, ideally in experimentation, statistical infrastructure or internal analytics platforms
Statistically strong: You have deep knowledge of experimental design, Bayesian statistics and causal inference — and know how to apply them at scale
Technically sharp: Proficient in Python and SQL, with hands-on experience in statistical programming. Familiarity with Airflow, Spark and cloud platforms (GCP/AWS) is a plus
Platform-aware: You’re comfortable working with engineers to bridge the gap between prototypes and production-grade tooling
Measurement minded: You’re fluent in the concepts that sit around experimentation — from anomaly detection to forecasting — and how they shape business performance
Strategic stakeholder manager: You influence product direction, shape priorities, and communicate complex ideas clearly to varied audiences
Supportive mentor: You’re passionate about coaching others, creating a team environment that values autonomy, psychological safety and growth
Balance focused: You’re skilled at delivering near-term impact while investing in long-term platform quality, experimentation confidence and team health
End-to-end thinker: You’ve worked across the full data science lifecycle — from exploration and measurement to production and iteration
- Sustainability and accessibility focused: You think in systems and solutions, always aiming for simplicity, inclusivity and long- term value.
What it's like here
We are the real deal — no corporate gloss, no empty promises. Just a team of genuinely curious, caring humans, building things that help travellers explore the world a little easier.
Skyscanner is made up of brilliant humans from every corner of the world. We believe travel makes the world better - and that the same is true of our diverse teams. We're proud to be an equal opportunities employer and are committed to building an inclusive workplace where everyone can thrive and products that are accessible to all.
Sound like your kind of adventure? Apply now and help us shape the future of travel.
We're committed to ensuring our application and recruitment processes are inclusive and accessible to everyone. If you require any reasonable adjustments or accommodations for interviews, please let us know. If you'd like more information on any of our policies, such as hybrid working or Parental Leave policies (typically we pay a minimum of 24 weeks birth parent/maternity leave globally), our recruitment team can provide more information on these.
