Data Scientist

About the company

CarTrawler is a global travel technology business that helps connect people, destinations, and opportunities through smoother travel experiences. The company supports car rental and other mobility solutions used by millions around the world. Its culture values curiosity, teamwork, and energy, with a focus on making every idea count and every journey better.

What you’ll be working on

• Tackle complex business challenges by applying modern machine learning approaches and analytical methods.
• Create data-led models and tools that improve trading outcomes across areas such as pricing and recommended sort.
• Use exploratory analysis to uncover practical insights, spot opportunities, and deepen understanding of customer behaviour.

Key responsibilities

• Build advanced data science solutions from end to end.
• Identify the data needed for each solution and extract it to support development.
• Carry out exploratory data analysis to understand trends and behaviours and to guide feature engineering and modelling decisions.
• Help design and build scalable, efficient, data-driven solutions.
• Contribute to choosing the right data science methods and technologies for each problem.
• Protect the quality and integrity of solutions by checking the statistical and economic assumptions behind them.
• Work closely with the MLOps team to deploy solutions into production and monitor their impact in real time.
• Design statistically sound test plans to measure whether solutions are effective.
• Gather and assess the results of in-market testing.
• Explain findings clearly to both technical colleagues and business stakeholders.
• Support the Revenue team with tools, models, and resources that help improve trading performance.
• Assist the wider business with day-to-day data science tasks and with creating new solutions to solve complex issues.
• Partner with broader data and technology teams to improve data capture and refine existing data sources.

Requirements

• Degree at undergraduate, master’s, or doctoral level in a relevant quantitative subject, plus at least 3 years of experience in a related role.
• Strong understanding of statistical modelling, algorithms, data mining, and machine learning workflows.
• Some exposure to advanced machine learning libraries such as TensorFlow, PyTorch, or MXnet.
• Experience with GenAI methods is considered an advantage.
• Strong Python programming skills with clean, robust, and well-structured code.
• Good SQL skills and experience working with relational databases.
• Ability to explain complex quantitative analysis in a clear and actionable way.
• Experience working with large, high-dimensional, and varied datasets.
• Ability to build clear visualisations and dashboards using tools such as Tableau or Thoughtspot.
• Familiarity with Git and modern software development workflows.
• Strong creative and analytical problem-solving skills in a fast-moving environment.
• Ability to collaborate with Software Engineering teams to build business functionality.

Perks and benefits

• Competitive compensation and benefits, including a performance-based yearly bonus, fully subsidised VHI health insurance, and pension matching of up to 4%.
• Flexible working and generous time away, including 25 days of annual leave, additional company days, monthly Friday Unplugged afternoons, and the option to work from abroad for up to 20 days per year.
• Wellbeing support that includes access to health and mental health programmes such as HeadsUp and EAP, along with paid leave for marriage, volunteering, and personal wellbeing, including menstrual, menopause, and fertility leave.
• Learning and recognition opportunities through training, coaching, study support, and programmes that celebrate individual and team success.
• Extra workplace perks such as a subsidised canteen (KC Peaches), on-site parking, Bike to Work and TaxSaver schemes, and an active Sports & Social Club.

Eligibility

This role is open to candidates with a strong interest in data science and quantitative problem-solving. Applicants who do not meet every requirement are still encouraged to apply.

Additional information

CarTrawler is an equal opportunities employer and welcomes applicants from all backgrounds, identities, and life experiences. The company is committed to building an inclusive workplace where people are valued for their passion and contribution.

Hiring process note

Artificial intelligence tools may be used to help with parts of the recruitment process, such as screening applications, reviewing CVs, or checking responses for consistency. These tools support the recruitment team and do not replace human judgment. Final hiring decisions are made by people. If you want more details about how your information is handled, you can contact the company directly.