Data Scientist

Job description

**Location:** Bangalore, KA, IN **Your future role** Take on a new challenge and apply your data science expertise in a cutting-edge field. You'll work alongside innovative and collaborative teammates. You'll play a key role in shaping Alstom's next-generation data-driven solutions for the mobility industry. Day-to-day, you'll 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. You'll 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. **All about you** We value passion and attitude over experience. That's why we don't expect you to have every single skill. Instead, we've 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) - Strong knowledge on Generative AI, Large Language Models - 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. You'll 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 don't 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, you'll be proud. If you're up for the challenge, we'd love to hear from you!