Data Scientist

We're looking for a Data Scientist to join a cross-functional product squad building industrialised machine learning and optimisation solutions that power real-world operational decision-support software.

You'll work end-to-end on data pipelines, algorithms, and models - from understanding complex business problems through to deploying robust, production-ready solutions in the cloud.

This is a hands-on role for someone who enjoys combining machine learning, optimisation techniques, and strong software engineering practices to deliver tangible business impact.

What You'll Be Doing

Develop and industrialise machine learning and optimisation models in Python

Build robust data pipelines, feature engineering, and automated data cleaning

Translate business problems into scalable analytical and algorithmic solutions

Deploy models into production using cloud platforms (AWS preferred) and CI/CD pipelines

Collaborate closely with software engineers, product managers, and business stakeholders

Contribute to an Agile product team, including code reviews, documentation, and continuous improvement

Key Skills & Experience

Strong experience with Python for data science and production-grade code

Solid grounding in machine learning and/or optimisation (eg regression, clustering, linear or mixed-integer programming)

Experience working with cloud platforms (AWS or similar)

Good software engineering practices (testing, version control, CI/CD)

Strong analytical thinking and ability to communicate technical concepts clearly

Nice to Have

• Experience in transportation, airlines, operations, or network optimisation
• Exposure to workflow orchestration tools (eg Airflow, Dagster)
• Experience deploying ML models at scale in production environments