Implement prognostic algorithms with different proprietary technologies and coding languages such a Pyspark , Python, PowerBI
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.
Develop prognostic algorithms, principles based on its logic, signals/events/operational information within related resolution and sampling timing and prescriptions for maintenance
Write and review maintenance procedures and plans, train users on CBM.
Analyse diagnostics and maintenance data
Study and review of the vehicle FMECA/FMEA and maintenance plan
Monitor prognostic system performances and statistical analysis on collected data to identify critical trends and conditions.
Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule application
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
Requirements
python
sql
pyspark
powerbi
railway
engineering degree
Ability to communicate effectively both orally and in writing
Experience in railway domain (preferred) or other manufacturing industry such as avionics, automotive or R&D.
An understanding of health and safety requirements of a working environment
Able to write technical specification for software and electronic systems
Experience in coding with Python, SQL, preferably Pyspark, and versioning tools (SVN, Git)
Experience in prediction/CBM algorithms.
Good understanding of RCM methodology
Experience in statistical analysis including quality control, multiple linear regression models, logistic regression, discriminant analysis, re-sampling techniques.
Able to manage relationship with suppliers and end-customers
Able to interpret electrical drawings, system specification software specification (e.g., UML) and mechanical drawings
Experience in design of vehicle railway system
Familiar with PowerBI dashboard development.
Engineering Degree, preferably Electrical or Electronics Engineering
Experience in big data analysis techniques both unsupervised and supervised machine learning
Experience in maintenance of vehicle railways equipment
Benefits
Pension scheme with contributions up to 9%
Personal Accident insurance
Group Income protection
Employee Assistance Programme
Competitive salary
Group Life Insurance
25 days holiday
Private medical insurance
Annual Performance bonus paid on discretionary basis.
Training + Development
Information not given or found
Interview process
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Visa Sponsorship
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Security clearance
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Company
Overview
Culture + Values
Wa (Harmony): We need to show respect to our colleagues, our suppliers, our clients and our stakeholders. We show respect to earn respect.
Makoto (Sincerity): We should act with integrity in all we say and do, … we maintain fairness in all our dealings; our reputation is founded on how we go about our business.
Kaitakusha – Seishin (Pioneering Spirit): We lead with ambition, seeking new challenges; we are not afraid to be flexible and adapt to the changing needs of our business.
Environment + Sustainability
100% Emission
Scope 1 & 2 by 2030
Target to achieve complete elimination of operational greenhouse gas emissions.
40% Reduction
Scope 3 by 2030
Aims to reduce emissions across the entire value chain, including supply chain and product use.
12% Decrease
Scope 1 & 2 in FY22
Achieved a significant drop in operational emissions in the fiscal year 2022.
90% Lower
CO₂ in HS2 Fleet
Accredited with PAS 2080, demonstrating a major improvement in fleet efficiency.
Carbon neutrality across business sites by 2030
Carbon neutrality across entire value chain by 2050
Net-zero across value chain by 2050 and net-zero operations by 2030
Inclusion & Diversity
October 2023
DEI Global Committee Launched
The company established a global committee to oversee diversity, equity, and inclusion initiatives.
Membership Doubled
Employee Resource Group Growth
Employee Resource Group membership has grown significantly following leadership inclusion interventions.
78%
EDI Score
The company achieved a score of 78% on its EDI metrics following targeted wellbeing and inclusion initiatives.
Gender-focused efforts: working to achieve a better gender balance
UK/Ireland, Italy, Japan regional DEI programmes underway
Defined focus areas include: Gender; Nationality, Ethnicity and Cultural Background; Multi‑Generations; LGBTQIA+; Disability and Neurodiversity