Data Scientist

About the role

Why loveholidays?

We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway.

Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.

The difference you’ll make

You’ll sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions.

Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers.

Your day-to-day:

- Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes.

- Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation.

- Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making.

- Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve.

- Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions.

Your skillset:

- Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability.

- Proficiency in Python and SQL, with experience working with large, complex datasets.

- A solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking.

- Experience collaborating with engineers to deploy, monitor and improve models in production.

- Strong communication skills, with the ability to explain technical concepts and influence product and commercial decisions.

The interview journey:

- Intro with a member of our Talent Acquisition team - 30 minutes

- 1st Stage: Virtual Interview with Hiring Manager - 45 minutes