Junior Condition Monitoring & Analytics Engineer

Hitachi Rail; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Annual performance bonus

25 days holiday

Pension scheme (9%)

Private medical insurance

Personal accident insurance

Group income protection

Group life insurance

Employee assistance programme

Job summary

Hitachi Rail, headquartered in London, seeks an experienced Predictive Maintenance Engineer to drive CBM/RCM-enabled maintenance improvements. The role blends field operations with the maintenance organisation to cut downtime and optimise train reliability.

Hybrid work from our London HQ is offered, with emphasis on Python data science and prognostic development. Candidates should have an electrical/electronics background, Python/SQL skills, PowerBI, and CBM experience.

Qualifications

• Engineering degree in electrical or electronics required.
• Railway domain experience preferred.
• Experience in Python, SQL, Pyspark, and versioning tools.
• Familiar with PowerBI dashboard development.
• Able to interpret electrical and software specifications (UML).
• Experience in CBM/RCM algorithms.
• Strong statistical analysis capabilities.
• Big data analysis and basic ML concepts.
• Knowledge of RCM methodology.
• Excellent written and verbal communication.
• Health and safety awareness

Responsibilities

• Review and design train subsystems focusing on maintainability, availability, reliability and CBM applicability.
• Develop prognostic algorithms using data, signals/events and timing for maintenance.
• Implement CBM with Python, Pyspark and PowerBI across systems.
• Analyse diagnostics and maintenance data to improve reliability.
• Monitor prognostic system performance and identify trends.
• Support algorithm verification with simulations and historical data.
• Study vehicle FMECA/FMEA and maintenance plans.
• Support and participate in RCM design activities.
• Coordinate diagnostic interfaces and on-ground systems.
• Write and review maintenance procedures and train users on CBM

Skills

Python

SQL

Data science

Statistical analysis

Communication

Big data

Education

Engineering Degree

Tools

Pyspark

PowerBI

Git

SVN

UML

TCMS

Job description

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 an experienced Predictive Maintenance Engineer to join the team. Based from our London HQ, working on a hybrid basis the experience Predictive Maintenance Engineer with be responsible for improving service quality and equipment reliability by developing tools and systems for improving workflows and optimising maintenance processes using suitable practices, Reliability Centred Maintenance (RCM), Condition Base Maintenance (CBM) methodology and Data Science Techniques.

The Predictive Maintenance Engineer will play a critical role in connecting field operations with the maintenance organisation, helping minimise downtime and failure rates and maximise train operation. The successful candidate ideally would come from either an Electronics or Software engineering background but must have strong experience coding in Python and expose/experience with data science technologies.

Other key responsibilities include:

• 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 a Pyspark , Python, PowerBI


• Analyse diagnostics and maintenance data


• Monitor 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.


• Study and review of the vehicle FMECA/FMEA and maintenance plan


• Support and participate in RCM design activities.


• Master the communication among the diagnostic MMI interfaces, TCMS, the specific on-board subsystem controllers and on-ground system


• Write and review maintenance procedures and plans, train users on CBM.

About You

• Engineering Degree, preferably Electrical or Electronics Engineering


• Experience 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 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


• Good understanding of RCM methodology


• Able to write technical specification for software and electronic systems


• Able to manage relationship with suppliers and end-customers


• Ability to communicate effectively both orally and in writing


• An understanding of health and safety requirements of a working environment

Desirable

• Experience in maintenance of vehicle railways equipment


• Experience in design of vehicle railway system

What We Offer

• Competitive salary


• Annual Performance bonus paid on discretionary basis.


• 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 will meet your specific needs and lifestyle.

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.