Junior Condition Monitoring & Analytics Engineer

Junior Condition Monitoring & Analytics Engineer

Date Posted: 2026-10-16

Location: The Borough, Greater London, GB, SE1 1

Type: 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

Your new role

Here at Hitachi Rail, we have a fantastic and unique opportunity for a Junior Condition Monitoring & Analytics Engineer to join our team. Based at our London HQ on a hybrid working basis, this role offers an exciting opportunity for a recent graduate or early-career engineer to develop their expertise in condition monitoring, reliability engineering, and data analytics within the rail industry.

As a Junior Condition Monitoring & Analytics Engineer, you will support initiatives that improve service quality and equipment reliability by developing tools, systems, and analytical insights that optimise maintenance processes. Working alongside experienced engineers, you will gain exposure to Reliability Centred Maintenance (RCM), Condition Based Maintenance (CBM) methodologies, and the application of data science techniques to real-world operational challenges.

The role plays an important part in connecting field operations with the maintenance organisation, helping to minimise downtime, reduce failure rates, and maximise fleet availability. We are particularly interested in candidates with a background in Electronics Engineering, Software Engineering, Computer Science, Data Science, or a related discipline. Strong Python coding skills and an interest in data analytics, machine learning, or predictive technologies are essential, while industry experience is beneficial but not required.

Key Responsibilities

• Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule application


• Develop prognostic algorithms, principles based on its logic, signals/events/operational information within related resolution and sampling timing and prescriptions for maintenance


• Implement prognostic algorithms with different proprietary technologies and coding languages such as Pyspark, Python, PowerBI


• Analyse diagnostics and maintenance data


• Monitor prognostic system performances and conduct statistical analysis on collected data to identify critical trends and conditions


• Support prognostic algorithm verification and validation, including simulations with TCMS simulator and analysis of maintenance reports and on-field failures

About You

• Engineering Degree, preferably Electrical or Electronics Engineering


• Experience in railway domain (preferred) or other manufacturing industries such as avionics, automotive, or R&D


• Experience in coding with Python, SQL, preferably Pyspark, and versioning tools (SVN, Git)


• Familiar with PowerBI dashboard development


• Able to interpret electrical drawings, system specifications, and mechanical drawings


• Experience in prediction/CBM algorithms


• Experience in statistical analysis including quality control, multiple linear regression models, logistic regression, discriminant analysis, re-sampling techniques


• Experience in big data analysis techniques, both unsupervised and supervised machine learning

What We Offer

We value the importance of all 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 within a flexible plan to meet your needs and lifestyle.

Thank you for your interest in Hitachi Rail. If your application is of interest, we will be in contact. Please do not hesitate to discover more about us and our latest jobs.

At Hitachi Rail, we value diversity and are committed to creating an inclusive environment. We are proud to be an equal opportunity employer.

We would be delighted if you would be one of our followers.

Summary

Location: (HRE/RSU) London Ludgate

Type: Full time

#s1-Gen

Junior Condition Monitoring & Analytics Engineer, you will support initiatives that improve service quality and equipment reliability by developing tools, systems, and analytical insights that optimise maintenance processes. Working alongside experienced engineers, you will gain exposure to Reliability Centred Maintenance (RCM), Condition Based Maintenance (CBM) methodologies, and the application of data science techniques to real-world operational challenges.The role plays an important part in connecting field operations with the maintenance organisation, helping to minimise downtime, reduce failure rates, and maximise fleet availability. We are particularly interested in candidates with a background in Electronics Engineering, Software Engineering, Computer Science, Data Science, or a related discipline. Strong Python coding skills and an interest in data analytics, machine learning, or predictive technologies are essential, while industry experience is beneficial but not
required.Other key responsibilities include:Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule applicationDevelop prognostic algorithms, principles based on its logic, signals/events/operational information within related resolution and sampling timing and prescriptions for maintenanceImplement prognostic algorithms with different proprietary technologies and coding languages such a Pyspark , Python, PowerBIAnalyse diagnostics and maintenance dataMonitor prognostic system performances and statistical analysis on collected data to identify critical trends and conditions.Support prognostic algorithm verification and validation. This will include simulations with TCMS simulator and historical diagnostic data, analysis of maintenance reports and on field failures.About youEngineering Degree, preferably Electrical or Electronics EngineeringExperience in railway domain (preferred) or other manufacturing industry such as avionics,
automotive or R&D.Experience in coding with Python, SQL, preferably Pyspark, and versioning tools (SVN, Git)Familiar with PowerBI dashboard development.Able to interpret electrical drawings, system specification software specification (e.g., UML) and mechanical drawingsExperience in prediction/CBM algorithms.Experience in statistical analysis including quality control, multiple linear regression models, logistic regression, discriminant analysis, re-sampling techniques.Experience in big data analysis techniques both unsupervised and supervised machine learningWhat 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 salary25 days holidayPension scheme with contributions up to 9%Private medical insurancePersonal Accident insuranceGroup Income protectionGroup Life InsuranceEmployee Assistance ProgrammeWe also offer additional perks for you to choose from within a flexible plan that
will meet your specific needs and lifestyle.#LI-GF1Thank you for your interest in Hitachi Rail. If your application is of interest, we will be in contact. Please do not hesitate to discover more about us and our latest jobs at .At Hitachi Rail, there is a place for everyone. 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.We would be delighted if you would be one of our followers at SummaryLocation: (HRE/RSU) London LudgateType: Full time