Analytics Engineer

Hitachi, Ltd; City of Westminster; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A rail transportation company in the UK is seeking an experienced Maintenance Analytics Engineer to join their team. The role is hybrid-based from London and involves developing tools to optimize maintenance processes and improve service quality and equipment reliability. Candidates need a strong background in coding, especially in Python and SQL, along with an Engineering Degree ideally in Electrical/Electronics. The position offers various benefits, including private medical insurance and performance bonuses.

Benefits

Competitive salary

Annual performance bonus

25 days holiday

Pension scheme with contributions up to 9%

Private medical insurance

Qualifications

• Degree in Electrical or Electronics Engineering required.
• Experience in railway domain or similar manufacturing industry preferred.
• Strong background in coding, especially with Python and SQL.

Responsibilities

• Design main train subsystems focusing on maintainability and reliability.
• Develop prognostic algorithms and implement them.
• Monitor and analyze performance of prognostic systems.

Skills

Experience coding in Python

Familiarity with PowerBI

Statistical analysis skills

Experience in prediction algorithms

Education

Engineering Degree, preferably Electrical or Electronics Engineering

Tools

Pyspark

SQL

Git

Job description

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 Maintenance Analytics Engineer will be responsible for improving service quality and equipment reliability by developing tools and systems for optimising maintenance processes using suitable practices such as Reliability Centred Maintenance (RCM), Condition Based Maintenance (CBM) methodology and data science techniques. The role will connect 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 to data science technologies.

Responsibilities

• Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule application
• Develop prognostic algorithms 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 and 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 historical diagnostic data, analysis of maintenance reports and on‑field failures
• Study and review vehicle FMECA/FMEA and maintenance plan
• Support and participate in RCM design activities
• Master communication among the diagnostic MMI interfaces, TCMS, the specific on‑board subsystem controllers and on‑ground system
• Write and review maintenance procedures and plans, and train users on CBM

Qualifications

• Engineering Degree, preferably Electrical or Electronics Engineering
• Experience in the 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 (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 and 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 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 railway equipment
• Experience in design of vehicle railway system

Benefits and Perks

• Competitive salary
• Annual performance bonus paid on a 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. We would be delighted if you would be one of our followers at https://www.linkedin.com/company/hitachirail.