Skyscanner

We are looking for a Senior Data Scientist to join our Experimentation team at Skyscanner. This team plays a pivotal role in enabling data-informed decision-making across the organisation by building and evolving our internal experimentation platform.

Sitting at the intersection of data science, product, and engineering, you will develop the statistical foundations that power experimentation at Skyscanner. You’ll design and implement advanced methods—particularly Bayesian approaches and causal inference models—while partnering closely with engineers to build scalable tools and libraries that support product experimentation at scale.

As a Senior Data Scientist focused on experimentation infrastructure, you will drive the development of features that make it easier for teams to run, analyse, and learn from experiments. Your work will be critical to ensuring that product decisions across Skyscanner are grounded in robust statistical evidence, ultimately improving the travel experience for millions of users worldwide!

What you’ll do:

• Partner with engineers and product managers to develop and evolve Skyscanner’s internal experimentation platform, used by teams across the company.
• Own, improve, and scale the statistical engines and inference libraries that power experiment analysis.
• Design and implement advanced statistical methods—particularly Bayesian approaches and causal inference models—to support complex experimentation needs.
• Research, build and maintain new product features to allow the organisation to experiment at scale.
• Advocate for experimentation and causal inference best practices.
• Act as a domain expert for experimentation and causal inference, mentoring others and contributing to a culture of data-informed decision-making.
• Collaborate cross-functionally to identify and drive improvements to improve our experimentation tooling.

What we are looking for:

• An experienced Senior Data Scientist, ideally with experience working on experimentation platforms or infrastructure.
• Strong foundation in Bayesian statistics, causal inference, and experimental design.
• Proven ability to write high-quality, production-ready code in Python, and fluency in SQL.
• Experience working closely with engineering teams to ship data products or backend services, including statistical libraries and APIs.
• Familiarity with statistical programming, version control, and deployment workflows (e.g. Git, CI/CD, Docker).
• Strong communication skills with the ability to explain statistical concepts to technical and non-technical audiences.
• A product mindset and a desire to build tools that are intuitive, scalable, and impactful.
• Comfortable working autonomously while also collaborating closely with a cross-functional team of engineers, PMs, and fellow data scientists.

What else can we offer you…

You’ll join a brilliantly diverse group from all corners of the world. After all, travel is about finding new perspectives and experiencing new people and cultures – and Skyscanner is strongest when our teams are both inclusive and diverse. We recognise and challenge everyday biases, remove obstacles to inclusion and ensure all our people can thrive and be themselves.

Skyscanner is a hybrid working company and most roles can be either Full Time or Part Time. We believe when people meet regularly in person, we are better able to innovate, learn, collaborate and inspire. We ask people to be in the office on average 8 days per month.

Already a global leader in travel, we want to elevate the way we work to a whole other level. In return, you’ll get meaningful things like medical insurance, headspace subscriptions, a home office allowance and the option to buy more holiday. You’ll have the opportunity to work from any country for 4 weeks a year, and 30 days in our other global offices. Everything, in other words, to help you relax and give your best.

For more details on Engineering at Skyscanner, check our Engineering Blog and follow Skyscanner Engineering on Twitter.