Data Science Engineer: Sensor Analytics & ML

Hitachi Rail; Eastleigh; On-site; GBP 40,000 - 46,000; Full time

Benefits offered by this job

Competitive salary

25 days holiday

Pension scheme with contributions up 9

Private medical insurance

Personal Accident Insurance

Group Income Protection

Group Life Insurance

Employee Assistance Programme

Job summary

Hitachi Rail is seeking a Data Science Engineer to join the Eastleigh office on a full-time, on-site basis. You will work within the Analytics team to develop machine learning and condition monitoring solutions, turning large-scale sensor data into actionable insights for customers worldwide.

The role requires a strong STEM background at Master’s or PhD level with commercial data science experience. You’ll collaborate across engineering teams to drive innovation and continuous improvement.

Qualifications

• 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.

Responsibilities

• Analyse complex sensor datasets to identify trends, patterns and 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 technical reports, presentations and visualisations for 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.

Skills

Python

R

MATLAB

Education

Master's degree

PhD

Tools

Azure

Job description

Hitachi Rail is seeking a Data Science Engineer to join the Eastleigh office on a full-time, on-site basis. You will work within the Analytics team to develop machine learning and condition monitoring solutions, turning large-scale sensor data into actionable insights for customers worldwide.

The role requires a strong STEM background at Master’s or PhD level with commercial data science experience. You’ll collaborate across engineering teams to drive innovation and continuous improvement.