Data Scientist

CarTrawler; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

CarTrawler, the global travel tech company behind seamless connections between people, places and possibilities, is hiring a Data Scientist to solve real‑world business problems using advanced machine learning. You will develop data‑driven models and tools to optimise trading performance across pricing and recommendations, and collaborate with Revenue teams.

You should have 3+ years in a quantitative role, strong Python and SQL, experience with ML libraries, and the ability to communicate

Qualifications

• 3+ years in a quantitative role with a strong foundation in statistics and ML.
• Experience building data science solutions using Python and ML libraries.
• Knowledge of GenAI and modern data tooling is a plus.
• Ability to write robust, readable code and collaborate with cross‑functional teams.
• Ability to communicate quantitative insights clearly to technical and non‑technical audiences.

Responsibilities

• Develop industry leading data science solutions and models for pricing and trading.
• Define data requirements and extract data to support model development.
• Perform exploratory data analysis to inform feature engineering.
• Design scalable, data driven solutions and validate them with robust tests.
• Collaborate with MLOps to deploy solutions in live environments.
• Create dashboards and visualisations for stakeholders (Tableau/Thoughtspot).
• Work with Revenue to optimise trading performance using data science tools.

Skills

Python

SQL

Data analysis

Statistical modelling

Machine learning

Visualization

Git

Team collaboration

Education

MS or PhD in quantitative field

Tools

TensorFlow

PyTorch

MXNet

Tableau

Thoughtspot

Git

Job description

Tech that takes you placesWe’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 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.

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.

Hybrid Working & Eligibility:

Our hybrid working policy requires employees to work onsite at our CarTrawler Dublin office a minimum of 2 days per week.

Applicants must have an existing right to work in Ireland without the requirement for employment permit sponsorship to be considered for this role.