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For Companies At a Glance
- Tasks: Develop tools to enhance service quality and optimise maintenance processes using data science techniques.
- Company: Join Hitachi Rail, a leader in digital transformation and technology.
- Benefits: Enjoy competitive salary, performance bonuses, 25 days holiday, and private medical insurance.
- Why this job: Make a real impact on train operations while working with cutting-edge technology.
- Qualifications: Experience in Python coding and data analysis; engineering degree preferred.
- Other info: Flexible work environment with opportunities for career growth and inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
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.
Your new role
Here at Hitachi Rail, we have a fantastic and unique opportunity for an experienced Maintenance Analytics Engineer to join the team. Based from our London HQ, working on a hybrid basis, the experienced Maintenance Analytics Engineer will 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 Based Maintenance (CBM) methodology and Data Science Techniques.
The Maintenance Analytics 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 exposure/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 as 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, including 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 specifications for software and electronic systems
- Able to manage relationships 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
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.
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.
Maintenance Analytics Engineer employer: Hitachi Rail
Contact Detail:
Hitachi Rail Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Maintenance Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Hitachi Rail on LinkedIn. Ask them about their experiences and any tips they might have for landing the Maintenance Analytics Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and data science techniques. Be ready to discuss how you've used these in past projects. Show us how you can apply your knowledge to improve workflows and optimise maintenance processes.
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to communicate effectively. As a Maintenance Analytics Engineer, you'll need to connect with various teams. Share examples of how you've successfully collaborated in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining Hitachi Rail. Don’t forget to tailor your application to reflect the key responsibilities mentioned in the job description.
We think you need these skills to ace Maintenance Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Maintenance Analytics Engineer role. Highlight your experience with Python, data science techniques, and any relevant projects that showcase your skills in improving workflows and optimising maintenance processes.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the railway industry and how your background in electronics or software engineering makes you a perfect fit for our team at Hitachi Rail.
Showcase Your Technical Skills: Don’t forget to mention your coding experience, especially with Python and Pyspark. If you've worked on any predictive algorithms or statistical analysis, make sure to include those details to demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Hitachi Rail
✨Know Your Tech Inside Out
As a Maintenance Analytics Engineer, you'll need to showcase your coding skills, especially in Python and Pyspark. Brush up on your knowledge of data science techniques and be ready to discuss how you've applied them in past projects.
✨Understand the Railway Domain
Familiarise yourself with the railway industry, particularly Reliability Centred Maintenance (RCM) and Condition Based Maintenance (CBM). Be prepared to discuss how these methodologies can improve service quality and equipment reliability.
✨Prepare for Technical Questions
Expect technical questions related to statistical analysis and big data techniques. Review concepts like multiple linear regression and machine learning, as you may be asked to explain how you've used these in your previous roles.
✨Showcase Your Communication Skills
Effective communication is key in this role. Be ready to demonstrate how you've successfully collaborated with teams or managed relationships with suppliers and customers. Highlight any experience you have in writing technical specifications or maintenance procedures.
