We are looking for a Senior Data Scientist to lead and contribute to a wide range of high-impact projects involving
Security analytics to enhance passenger and infrastructure safety
Punctuality optimization through predictive modeling and real-time data
Energy consumption analysis to support our sustainability goals
Generative AI applications to explore new frontiers in operational efficiency
As the scientific reference for our experienced team of data scientists, you will provide strategic guidance, ensure methodological rigor, and foster innovation across all projects.
Responsibilities
Lead the design and implementation of advanced data science solutions using Machine Learning, deep learning, and GenAI techniques
Act as a mentor and scientific authority for a team of skilled data scientists
Collaborate with cross-functional teams including operations, IT, and sustainability
Translate complex business challenges into data-driven solutions
Ensure best practices in model development, validation, and deployment
Drive the adoption of cutting-edge tools and methodologies within the team
Requirements
Conformity criterium:
PhD in Data Science, Computer Science, Statistics or AI field
10+ years of experience in data science, with a strong track record in both academic research and industrial applications
Proven track record in research within the Data Science and AI field: you have academic publications in the field.
Proven expertise in Azure cloud services and Databricks (including Spark, MLflow, Delta Lake, etc.): You are capable of setting up a data platform for a data science project and have it run several models in production on.
You have proven record of implementing Machine Learning, statistical modeling, and GenAI techniques to support companies in their decision making.
You have experience in bringing the models you create in production.
You have already used complex network in industrial context
You have worked in the railway sector for at least one year.
Fluent in English
You can come to the office on Tuesday and Thursday
Evaluation criterium:
Knowledge of required programming languages
Knowledge of the Azure environment for Advanced analytics
Knowledge of the railways business
Knowledge of the different data science techniques
Level of experience bringing ML and AI models to production
Capacity to translate complex business problems into actionable solutions based on Advanced Analytics techniques
Communication and presentation skills