Data Scientist

About Skyscanner

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 160 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.)

About the role (Hybrid)

Building smarter recommendation systems: You’ll join the team behind the ML systems that help millions of travellers find the right hotel or rental car — and you’ll keep raising the bar on relevance, quality, and performance.

Owning the full journey: From fuzzy product questions to crisp modelling goals, you’ll run initiatives end-to-end: define what “good” looks like, build models, ship them, and iterate based on what the world tells us.

Working where it matters: You’ll partner closely with Product and Engineering to get production systems into travellers’ hands (not just into notebooks).

What you’ll be doing

Improving ranking & recommendations: You will design, build, and iterate on production ranking and recommendation systems across Hotels and Cars.

Turning ambiguity into objectives: You will translate open-ended product challenges into clear modelling goals and hypotheses.

Defining meaningful success: You will set success metrics that balance user value with marketplace and business outcomes.

Running rigorous evaluation: You will design and analyse online experiments and offline evaluations to understand real impact.

Applying statistical & causal reasoning: You will use strong statistical foundations (and causal thinking where it counts) to make confident, responsible decisions.

Shipping with partners: You will work hand-in-hand with Product and Eng