Data Scientist

About Your New Employer

Join a global leader in connected technology and sustainable innovation, developing data-driven products and solutions that help customers improve operational efficiency while reducing environmental impact. You will be part of a multidisciplinary R&D organisation comprising data science, software engineering, cloud, cybersecurity, UX, and product development teams working together to solve complex real-world challenges.

About Your New Job

We are seeking a Data Scientist to join a growing Digital Solutions team focused on leveraging telematics and IoT data to deliver actionable insights and predictive solutions.

In this role, you will work with large-scale datasets collected from connected equipment, applying advanced analytics, machine learning, and statistical modelling techniques to improve product performance and support customer decision-making. You will collaborate closely with engineering, product, and data teams to transform data-driven insights into scalable production-ready solutions.

This is an opportunity to work on innovative projects involving predictive maintenance, anomaly detection, optimisation, and reliability modelling while contributing to the development of next-generation digital products.

What Skills You Need

• Degree or Master's qualification in Data Science, Mathematics, Statistics, Physics, Computer Science, or a related discipline
• 3–5 years' professional experience in Data Science or Machine Learning roles
• Strong experience developing and deploying machine learning models
• Experience with statistical modelling, predictive analytics, and data exploration
• Strong knowledge of supervised and unsupervised machine learning techniques
• Experience with anomaly detection, classification, clustering, and regression models
• Strong programming skills in Python and/or R
• Experience working with SQL and large structured or unstructured datasets
• Experience creating visualisations and presenting analytical insights to technical and non-technical stakeholders
• Strong communication skills with the ability to translate complex findings into business recommendations

Desirable

• Experience with predictive maintenance, reliability engineering, or survivability models
• Experience with Tableau or similar visualisation tools
• Exposure to cloud-based analytics and machine learning platforms
• Experience leading data science projects from concept through deployment
• Knowledge of automotive, transport, industrial equipment, or IoT environments

What’s on Offer

• Opportunity to work on cutting-edge machine learning and analytics projects
• Collaborative multidisciplinary R&D environment
• Strong focus on innovation, sustainability, and product development
• Excellent opportunities for technical and career growth
• Exposure to cloud technologies, advanced analytics, and large-scale IoT datasets