Data Scientist

 Date 10 Jul 2025
 Location: Bangalore, KA, IN
 Company  Alstom
At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role 
Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates.You'll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains.Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience.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:

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

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)

[OptionalExperience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining]

[OptionalFamiliarity 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)

You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note 
As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.