Well look to you for :

- Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts.

- Implementing feature selection/extraction methods to improve ML models and derive interpretable insights.

- Building and optimizing machine learning models, including supervised and unsupervised approaches.

- Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics.

- Collaborating with domain experts to define and meet business requirements.

- Creating reports and explanatory materials to communicate insights effectively.

- Evaluating opportunities from emerging mathematical approaches and data science technologies.

- Applying strong testing and quality assurance practices.

All About You:

We value passion and attitude over experience.

Thats why we dont expect you to have every single skill.

Instead, weve listed some that we think will help you succeed and grow in this role:.

- Masters Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines.

- 7+ years of experience in Data Science/Machine Learning.

- Excellent knowledge of Python programming.

- Understanding of modern statistics, including time-series and signal processing, text mining, or image processing.

- Experience with Python data science stack (e.g. , pandas, scikit-learn, keras, numpy, tensorflow).

- Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning).

- Experience in building and optimizing supervised and unsupervised ML models.

- Experience with database management (SQL, ElasticSearch, etc.

- Proficiency in a LINUX environment (shell scripting).

- [Optional: Experience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining].

- [Optional: Familiarity with Git and release management].

Things youll enjoy:

Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career.

Youll also:.

- Enjoy stability, challenges and a long-term career free from boring daily routines.

- Work with cutting-edge technologies to revolutionize digital mobility.

- Collaborate with cross-functional teams and supportive colleagues.

- Contribute to innovative projects in the mobility domain.

- Utilise our flexible and inclusive working environment.

- Steer your career in whatever direction you choose across functions and countries.

- Benefit from our investment in your development, through award-winning learning programs.

- Progress towards leadership or technical expert roles.

- Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension).