Data Science Engineer

Location: (HRE/RSU) Stoneham Place Job ID: R0135120 Date Posted: 2026-09-18 Company Name: Hitachi Rail UK Limited Profession (Job Category): Other Job Schedule: Full time Remote: No About Us A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there's something for everyone to get stuck into. And that's where you come in. Job Description Job title: Data Science Engineer Location: Eastleigh, Southampton Salary: £40,000-£46,000 DOE. Working arrangements: On-site Your new role We're looking for an ambitious and highly analytical Data Science Engineer to join our growing Analytics team based full-time at our Eastleigh office. This is an exciting opportunity to work with large-scale sensor datasets, develop innovative machine learning and condition monitoring solutions, and help deliver industry-leading analytics capabilities to customers worldwide. This role would suit someone with a strong academic background, ideally educated to Master's or PhD level in a STEM discipline, who has already gained some commercial experience applying data science, machine learning, or analytics techniques in a professional environment. You'll be a naturally curious problem solver, someone who enjoys turning complex data into actionable insights and thrives in a collaborative engineering environment where innovation and continuous improvement are encouraged. Some key responsibilities Analyse complex sensor and operational datasets to identify trends, patterns and valuable customer insights. Design, develop and refine condition monitoring and machine learning algorithms. Develop software and analytical tools to support business and customer requirements. Work closely with cross-functional engineering and analytics teams on new capability development. Produce clear technical reports, presentations and visualisations for both internal and external audiences. Contribute to continuous improvement of analytical approaches, tools and processes. Support production analytics systems and help investigate performance issues and technical challenges. About you You'll bring a combination of strong technical capability, commercial awareness and a proactive approach to problem-solving. Essential Degree, Master's or PhD in a STEM subject. Strong programming skills in Python, R, MATLAB or a similar language. Experience analysing and interpreting complex datasets. Understanding of Data Science and Machine Learning principles. Excellent communication skills, with the ability to present technical information clearly to different audiences. Demonstrated experience delivering technical or research-based projects. A proactive mindset with strong problem-solving abilities and a genuine desire to learn and develop. Desirable PhD in a relevant STEM discipline. Experience with Azure or other cloud platforms. Experience applying AI technology to complex engineering / data science applications Knowledge of software engineering practices such as version control and continuous integration. .NET programming experience. Experience within predictive maintenance, condition monitoring, vibration analysis or industrial analytics. Experience within rail, transport or other engineering-intensive industries. What we offer We value the importance of all of our employees. If you would like to join our fantastic organisation, you could be entitled to: Competitive salary 25 days holiday Pension scheme with contributions up to 9% Private medical insurance Personal Accident Insurance Group Income Protection Group Life Insurance Employee Assistance Programme We also offer additional perks for you to choose from within a flexible plan that can be tailored to meet your specific needs and lifestyle. Ready to apply your expertise to real-world engineering challenges and help shape the future of intelligent asset monitoring? We'd love to hear from you.

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