Data Scientist

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Date: 04-Sep-2022

Location: Ridderkerk, NL

Company: Alstom

Req ID:224481 

Leading societies to a low carbon future, Alstom develops and markets mobility solutions that provide the sustainable foundations for the future of transportation. Our product portfolio ranges from high-speed trains, metros, monorail, and trams to integrated systems, customised services, infrastructure, signalling and digital mobility solutions. Joining us means joining a caring, responsible, and innovative company where more than 70,000 people lead the way to greener and smarter mobility, worldwide

Job Title & Purpose

Job Title

Data Scientist


Purpose of the Job

Capture, structure and analyse structured and unstructured big Data (originated from rolling stock or signalling devices) for the Fleet Support Center. Define rules and predictive algorithms to increase the performance of rolling stock.


Position in the Organisation

Organisation Structure

Is part of the Fleet Support Center


Organisational Reporting

Direct reporting to the Fleet Support Center manager.


Network & Links


  • System Engineering
  • Commissioning & Warranty
  • Fleet Support Center teamlead & manager
  • Fleet Support Center System Engineer
  • Customer Maintenance Team
  • Business intelligence team
  • Data analysts & scientists Alstom infrastructure team
  • Data analysts & scientists of other Fleet Support Centers





  • Define standard rules to analyse vehicle diagnostic data
  • Collate & structure remote diagnostic data, system downloads and depot reports for service failures and analyse data in order to:
    • identify any failure trends/anomalies and inform Engineering/Reliability Teams of possible improvements
    • identify any minor failures that may require preventative maintenance
    • provide detailed reports of system performance
  • Explore data, find new relationships and patterns, create and implement new data algorithms in order to;
    • Create predictive maintenance models
    • Improve asset life-cycle
    • Increase vehicle availability
    • Automate processes
  • Support Fleet Support Center System Engineer
  • Raise change request to improve diagnostic information collected by the vehicles
  • Participate to critical task-force dedicated to troubleshooting if necessary
  • To report regularly and accurately on the performance of the fleet, for internal use, and to report to the customer.
  • To highlight any anomalies in system performance or component failures as present in the data
  • To provide the System, Maintenance development and Reliability engineers with specific analyses.
  • To assist in providing training on the company’s data reporting tools.
    • To look after the quality of the raw data and report on any inaccuracies or concerns and provide instructions/training on how data is to be recorded and kept
  • Assist the data warehouse activities related to the Fleet Support Center
  • Through his activities, contributes to standardization by reusing existing solutions or by implementing reusable solutions
  • Contributes to continuous improvement (Return of Experience, processes)


Candidate Requirements

Educational Requirements


  • University degree in mathematics
  • Data science management / Big data business analyst


  • Engineering / ICT degree (with additional courses relevant for data analysis)


Desired Knowledge / Experience


  • At least 3 years of experience in a professional environment
  • Experience in data retrieval, elaboration and analysis


Behavioural Skills / Competencies


  • Proactive – Willingness to think outside the box to develop new and improved methodology whilst maintaining quality standards.
  • Influencing, Negotiating and Communicating – Produces well-reasoned data driven arguments that are presented with conviction to achieve desired outcome. Can communicate effectively with staff at all levels within the organisation.
  • Customer centric – is able to translate customer demand to a solid and convincing business proposition, where data is the basis of the solution.
  • Flexibility & Adaptability – Has the ability to evaluate alternative ways of achieving objectives.
  • Process orientated – Will work methodically to an agreed process to ensure quality of information is consistently good.
  • Be approachable and willing help other in often frustrating circumstances
  • Able to communicate, written and verbal in English
  • Able to operate in multi-disciplinary project-team


Technical Skills & Competencies


Technical Knowledge / Experience

  • Mathematical knowledge & experience; statistics, linear algebra, machine / deep learning
  • Experience with data modelling & algorithm development for prediction and automation
  • Programming skills in SQL, Python or R Studio
  • Experience with at least Qlik, PowerBI, Tableau or equivalent
  • Advanced skills in Excel

Core Skills

  • Detail conscious. Thorough, analytical and meticulous mind-set. Has the ability to consistently produce accurate, factual and detailed information
  • Planning and Organisation skills. Plans to meet department objectives


  • Knowledge of the railway and ideally of maintenance environments would be an advantage


Terms & Conditions

Job Location

NL – Ridderkerk



Alstom is the leading company in the mobility sector, solving the most interesting challenges for tomorrow’s mobility. That’s why we value inquisitive and innovative people who are passionate about working together to reinvent mobility, making it smarter and more sustainable. Day after day, we are building an agile, inclusive and responsible culture, where a diverse group of people are offered opportunities to learn, grow and advance in their careers, with options across functions and geographic locations. Are you ready to join a truly international community of great people on a challenging journey with a tangible impact and purpose?  


Equal opportunity statement:
Alstom is an equal opportunity employer committed to creating an inclusive working environment where all our employees are encouraged to reach their full potential, and individual differences are valued and respected.  All qualified applicants are considered for employment without regard to race, colour, religion, gender, sexual orientation, gender identity, age, national origin, disability status, or any other characteristic protected by local law. 





Job Type:​Experienced​

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