Req ID:468142  

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 

Purpose of the Position

BIM-Data Sciences Engineer position integrates Building Information Modeling (BIM) with data science methodologies to optimize the design, construction, and management of infrastructure projects. This role bridges the gap between traditional engineering practices and advanced data analytics, enabling the effective use of data to drive decision-making, improve project efficiency, and enhance collaboration across disciplines.

Key Objectives:

1. Data Integration and Management:

   • Combine and manage large datasets from various BIM and non-BIM sources to create a centralized, structured data environment.
   • Ensure data quality, consistency, and accessibility for all project stakeholders.

2. Process Optimization:

   • Develop automated workflows and scripts to enhance the efficiency and accuracy of BIM processes.
   • Use data science techniques to identify patterns, optimize resource allocation, and improve design and construction processes.

3. Advanced Analytics and Reporting:

   • Perform advanced data analysis and predictive modeling to support project planning and risk management.
   • Create dashboards and visualizations to provide real-time insights into project performance and facilitate data-driven decision-making.

4. Interoperability and Integration:

   • Ensure seamless integration and interoperability between various BIM software and tools, as well as other project management and data platforms.
   • Support the development and implementation of data exchange standards and best practices.

5. Collaboration and Stakeholder Support:

   • Act as a liaison between the engineering, data science, and project management teams to ensure that data solutions meet the needs of all stakeholders.
   • Provide technical support and training to team members on BIM data management and analytics tools.

6. Innovation and Continuous Improvement:

   • Stay updated with the latest trends in BIM, data science, and technology to continuously improve processes and tools.
   • Promote the adoption of innovative solutions and best practices across the organization.

Technical Skills

1. Programming and Automation:

   • Proficiency in programming languages such as Python, C#, or VBA to automate BIM processes and manipulate data.
   • Experience with BIM software APIs (Revit API, Dynamo, Rhino/Grasshopper).

2. Data Science and Analysis:

   • Skills in data analysis using tools like Pandas, NumPy, or R to analyze and interpret data from BIM models.
   • Knowledge of machine learning for predictive analytics or pattern recognition in building data.

3. Database Management:

   • Experience with relational databases (SQL) and NoSQL databases (MongoDB) for storing and managing BIM data at scale.
   • Skills in BIM-oriented database design.

4. Integration and Interoperability:

   • Mastery of data exchange standards (IFC, COBie, BCF) to ensure interoperability between different software and project stakeholders.
   • Experience with BIM-ERP or BIM-GIS integration platforms.

5. Data Management:

   • Ability to structure and manage large datasets from various models and systems.
   • Knowledge of data management standards such as ISO 19650.

6. Data Visualization:

   • Experience with visualization tools like Power BI or Tableau to create project monitoring dashboards.
   • Skills in interactive 3D visualization (Unity, Unreal Engine) for immersive representations of BIM data.

7. AI and IoT Skills:

   • Experience with the Internet of Things (IoT) to integrate real-time sensor data into BIM models.
   • Understanding of artificial intelligence concepts for automated facility management.

Behavioral Skills

1. Adaptability:

   • Ability to quickly learn and adapt to new BIM and data science technologies and methodologies.

2. Project Management:

   • Project management skills, including planning, monitoring, and coordinating complex projects.
   • Knowledge of agile or lean methodologies applied to BIM projects.

3. Communication Skills:

   • Ability to simplify complex technical concepts for non-technical stakeholders.
   • Training and mentoring skills to share BIM and data science knowledge with other team members.

4. Critical Thinking and Problem Solving:

   • Ability to identify process improvement opportunities through data analysis and propose data-driven solutions.

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.