Junior Condition Monitoring & Analytics Engineer

Junior Condition Monitoring & Analytics Engineer, you will support initiatives that improve service quality and equipment reliability by developing tools, systems, and analytical insights that optimise maintenance processes. Working alongside experienced engineers, you will gain exposure to Reliability Centred Maintenance (RCM), Condition Based Maintenance (CBM) methodologies, and the application of data science techniques to real-world operational challenges.The role plays an important part in connecting field operations with the maintenance organisation, helping to minimise downtime, reduce failure rates, and maximise fleet availability. We are particularly interested in candidates with a background in Electronics Engineering, Software Engineering, Computer Science, Data Science, or a related discipline. Strong Python coding skills and an interest in data analytics, machine learning, or predictive technologies are essential, while industry experience is beneficial but not required.Other key responsibilities include:Review and design main train subsystems with focus on maintainability, availability, reliability and CBM rule applicationDevelop prognostic algorithms, principles based on its logic, signals/events/operational information within related resolution and sampling timing and prescriptions for maintenanceImplement prognostic algorithms with different proprietary technologies and coding languages such a Pyspark , Python, PowerBIAnalyse diagnostics and maintenance dataMonitor 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.About youEngineering Degree, preferably Electrical or Electronics EngineeringExperience 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 drawingsExperience 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 learningWhat 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 salary25 days holidayPension scheme with contributions up to 9%Private medical insurancePersonal Accident insuranceGroup Income protectionGroup Life InsuranceEmployee Assistance ProgrammeWe also offer additional perks for you to choose from within a flexible plan that will meet your specific needs and lifestyle.#LI-GF1Thank 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 .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 SummaryLocation: (HRE/RSU) London LudgateType: Full time