The Role
Design, develop and deploy data-driven machine learning solutions to optimise pricing and recommendation trading performance. Perform exploratory analysis, feature engineering, A/B test design and validation, collaborate with MLOps and engineering to productionise models, produce dashboards/visualisations, and communicate insights to technical and non-technical stakeholders.
Summary Generated by Built In
Tech that takes you places
We’re CarTrawler, the global travel tech company behind seamless connections between people, places and possibilities. From powering car rental to creating smarter ways to move, we make travel smoother for millions worldwide. Our culture is built on curiosity, collaboration and craic where every idea counts and every journey matters. Ready to make an impact? Let’s go places together.
We’re CarTrawler, the global travel tech company behind seamless connections between people, places and possibilities. From powering car rental to creating smarter ways to move, we make travel smoother for millions worldwide. Our culture is built on curiosity, collaboration and craic where every idea counts and every journey matters. Ready to make an impact? Let’s go places together.
Were looking for someone who enjoys;
- Solving complex real-world business problems using cutting-edge machine learning methods and techniques.
- Developing data-driven models and tools to optimise trading performance across a host of domains including pricing and recommended sort.
- Conducting exploratory analysis to generate actionable insights, identify opportunities, and enhance our understanding of consumer behaviours.
What you'll do as a Data Scientist:
- Develop industry leading data science solutions through:
- Define data requirements and extracting required data to support solution development.
- Perform exploratory data analysis to improve understanding of underlying trends and behaviours to help inform feature engineering work and next steps in modelling process.
- Support in the designing and development of scalable and efficient data driven solutions.
- Input into the design decisions determining optimal data science methodologies and technologies to use to solve the problem at hand.
- Ensure integrity of the data science solutions in terms of the underlying statistical and economic models and assumptions.
- Collaborate with the MLOps team in the development and deployment of proposed solutions to a live environment and tracking the effects in real time.
- Devise statistically robust testing plans to validate effectiveness of solutions.
- Collate results from in-market tests and validating them.
- Effectively communicate outputs of work to other team members and business stakeholders in a manner that can be understood by both technical and non-technical audiences.
- Work with colleagues in Revenue function to ensure they are equipped with required tools, models and resources for optimising trading performance.
- Support the wider business with BAU tasks related to the services Data Science provide or with designing new data-driven solutions to solve their complex business problems.
- Proactively work with wider data & technology teams to support the collection of new data and refinement of existing data sources.
Knowledge and Skills:
- Undergraduate, M.S. or Ph.D. in a relevant quantitative field, and 3+ years’ experience in a relevant role.
- Solid understanding of statistical modelling, algorithms, data mining and machine learning workflows.
- Some experience or knowledge of using more advanced ML libraries (TensorFlow, PyTorch, MXnet, etc.).
- Experience in the development or application of GenAI algorithms seen as a plus.
- Proficient in writing well structured, robust and readable code in Python.
- Proficient in SQL and relevant experience using relational databases.
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
- Proven experience manipulating and analysing complex, high-volume, high-dimensional data from varying sources.
- Ability to create compelling visualisations and dashboards (e.g. Tableau, Thoughtspot).
- Knowledge of Git and modern development workflows.
- Proven ability to work creatively and analytically in a fast-paced, problem-solving environment.
- Ability to partner with Software Engineering teams to co-develop functionality for the business.
Go on, give it a go!
We know that looking for a new job can feel a bit daunting but don’t let a touch of imposter syndrome hold you back. Even if you don’t tick every box, we’d still love to hear from you! Apply today to stay connected.
At CarTrawler, we’re proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for everyone. No matter your background, identity, or life experience, if you’re passionate about what you do, you’ll be welcomed here.
Perks for the journey
· Competitive pay and benefits, including a performance-based annual bonus, fully subsidised VHI health insurance and pension matching up to 4%.
· Generous time off and flexible working, including 25 days’ annual leave, extra company days, monthly Friday Unplugged afternoons and the option to work abroad for up to 20 days a year.
· Comprehensive wellbeing support, including access to health and mental health programmes (HeadsUp and EAP) and paid leave for marriage, volunteering and personal wellbeing including menstrual, menopause, and fertility leave.
· Growth and recognition culture with development opportunities through training, coaching and study support plus programmes that celebrate individual and team achievements.
· Everyday perks that make a difference - subsidised canteen (KC Peaches), on-site car parking, Bike to Work and TaxSaver schemes plus an active Sports & Social Club.
Skills Required
- Undergraduate, M.S. or Ph.D. in a relevant quantitative field
- 3+ years' experience in a relevant role
- Solid understanding of statistical modelling, algorithms, data mining and machine learning workflows
- Experience or knowledge of advanced ML libraries (TensorFlow, PyTorch, MXNet)
- Experience in the development or application of GenAI algorithms
- Proficient in writing well structured, robust and readable code in Python
- Proficient in SQL and relevant experience using relational databases
- Proven experience manipulating and analysing complex, high-volume, high-dimensional data from varying sources
- Ability to create compelling visualisations and dashboards (e.g., Tableau, ThoughtSpot)
- Knowledge of Git and modern development workflows
- Ability to communicate complex quantitative analysis clearly to technical and non-technical audiences
- Ability to partner with Software Engineering teams to co-develop functionality
- Proven ability to work creatively and analytically in a fast-paced, problem-solving environment
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The Company
What We Do
The leading global B2B provider of car rental and mobility solutions to the travel industry. Our purpose is driving successful partnerships. CarTrawler’s end-to-end technology platform expands our airline and travel partners’ offering to their customers, creating substantial ancillary revenue opportunities. We provide unrivalled breadth and depth of content worldwide, including car rental, private airport transfer and ride-hailing services. CarTrawler creates innovative, data-led solutions for some of the largest travel brands in the world, including United Airlines, American Express, easyJet, Alaska Airlines, SWISS, Hotels.com and Emirates. As a B2B company we focus solely on helping our airline and travel partners build their brands, not our own.
