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Develop and implement prognostic algorithms and CBM tools to improve equipment reliability and minimize downtime for train operations. Analyze diagnostic data and collaborate with field operations to optimize maintenance processes using RCM and data science techniques.
Requires an Engineering degree (preferably Electrical or Electronics) with strong proficiency in Python, SQL, and data science technologies. Experience in the railway, avionics, or automotive industries and knowledge of statistical analysis and machine learning is highly desired.
Job ID:
R0108106A 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.
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 maximize 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.
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
Experience in maintenance of vehicle railways equipment
Experience in design of vehicle railway system
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
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.
#LI-GF1
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 https://www.hitachirail.com/careers.
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 https://www.linkedin.com/company/hitachirail
Hitachi Energy – powering purpose for the Electricity era
Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future with innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives. With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time – balancing soaring electricity demand, while decarbonizing the power system. With an unparalleled installed base in over 140 countries, we co-create and build long-term partnerships across the utility, industry, transportation, data centers, and infrastructure sectors. Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD.
Offices: Brown-Boveri Strasse 5, Zurich, CH
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