Data Scientist

The Role

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

• 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