Data Science Engineer

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

Benefits offered by this job

25 days holiday

Pension scheme (up to 9%)

Private medical insurance

Personal Accident Insurance

Group Income Protection

Group Life Insurance

Employee Assistance Programme

Job summary

Hitachi Rail UK Limited is seeking a Data Science Engineer to join the Analytics team at our Eastleigh office. The role focuses on large-scale sensor datasets, ML and condition monitoring to deliver analytics capabilities to customers worldwide.

The candidate should have a strong STEM background (Master’s/PhD preferred) and commercial data science experience, with excellent problem-solving and communication skills. On-site work in Eastleigh is required.

Qualifications

• Degree, Master’s or PhD in a STEM subject.
• Strong programming skills in Python, R or MATLAB.
• 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.
• Demonstrated experience delivering technical or research-based projects.
• A proactive mindset with strong problem-solving abilities and a willingness to learn.

Responsibilities

• Analyse complex sensor and operational datasets to identify trends and insights.
• Design, develop and refine condition monitoring and ML algorithms.
• Develop software and analytical tools to support business needs.
• Collaborate with cross-functional engineering and analytics teams on new capabilities.
• Produce clear technical reports, presentations and visualisations for internal and external audiences.
• Improve analytical approaches, tools and processes continuously.
• Support production analytics systems and investigate performance issues.

Skills

Python

R

MATLAB

Data analysis

Machine Learning

Communication

Problem solving

Project delivery

Education

Master’s or PhD in STEM

PhD (desirable)

Tools

Azure

Git

CI/CD

Job description

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

• 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.

We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view.

It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.