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Data Scientist

ALSTOM -
Bengaluru, Karnataka

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Job details

Qualifications

TensorFlow
Statistics
Elasticsearch
Image processing
Data mining
Computer Science
Signal processing
NumPy
Git
Master's degree
SQL
Pandas
Database management
Quality assurance
Machine learning
Release management
Deep learning
Natural language processing
Scripting
Linux
Data science
Keras
AI
Python
Shell Scripting

Full job description

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. 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.

We’ll 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. 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 you’ll 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!

Important to note

As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.

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