Wabtec Corporation: Sr Data Scientist — Bengaluru, KA, India

About Wabtec Corporation

Wabtec Corporation, formally Westinghouse Air Brake Technologies Corporation, supplies equipment, systems and services for the rail industry. Its products range from locomotives, air-brake systems and train-control technology to digital services for freight and passenger operators, with customers across railway, mining and industrial markets. The company is headquartered in Pittsburgh, Pennsylvania. Its employer feed covers engineering, systems and operations roles across its rail and industrial businesses.

The position and its setting

Wabtec Corporation lists Sr Data Scientist in Bengaluru, KA, India, under reference R0112589. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 19 June 2026
• Brands: Wabtec
• Job Family: Data and Analytics

Responsibilities and work described

• It’s not just about your career or job title… It’s about who you are and the impact you will make on the world
• Because whether it’s for each other or our customers, we put People First
• When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it
• If you are constantly striving to grow, you’re in good company
• We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us
• Who are we?
• Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets
• Wabtec is focused on performance that drives progress and unlocks our customers’ potential by delivering innovative and lasting transportation solutions that move and improve the world
• We are lifelong learners obsessed with making things better to drive results
• Wabtec has approximately 27K employees in facilities throughout the world
• Visit our website to learn more!
• Who will you be working with?
• This role is an integral part of the Wabtec IT Data & Analytics (DnA) Team
• As a Sr
• How will you make a difference?
• We are seeking a collaborative and Sr

Essential requirements and candidate background

• Ability to work independently with cross functional teams on medium scale projects and handling business interactions
• You must have:
• The minimum qualifications for this role include:
• B
• Tech or M
• Tech in Information Technology (IT), Computer Science, or Engineering from an accredited college or university
• 6+ years of mandatory experience in Data Science, AI / ML and Python
• Demonstrable expertise in the area of Machine Learning, Deep Learning, Image Processing, NLP, predictive & forecasting models
• Hand-on experience on complete ML pipeline, data preprocessing, training and deployment of ML models
• Programming skills in Python, LLM, ML Flow, Deep Learning, PyTorch /TensorFlow, AWS AI tech-stack (Bedrock Services, Foundation models, Textract, Kendra etc.) to build/manage and analyze large datasets
• Good understanding or experience of working with AWS Bedrock
• Experience: advance SQL and good to have experience in Pyspark
• Good understanding or experience of working in AWS/any other cloud platform
• Good to have experience on Dataiku but optional
• Flexible and Quick learner
• Critical thinking, decision making, troubleshooting and problem-solving skills
• Uses teamwork skills to achieve goals, solve problems, and manage conflict
• Support multiple initiatives simultaneously and work in a fast-paced environment
• Verbal & written communication skills, including communicating technical issues to non-technical audiences
• We would love it if you had:

Preferred experience and additional strengths

• Exposure: Industrial engineering domain is preferred

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Bengaluru, KA, India

Employer details to confirm

• The employer’s seniority category and its stated experience requirements do not agree. Follow the role-specific requirements above rather than assuming this is a fresher opening.

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Sr Data Scientist vacancy is not an offer for reference R0112589; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Wabtec Corporation

Applications follow the official employer page linked below.

Open the official Wabtec Corporation posting below and match the title and reference R0112589.

Compare your qualifications and experience with the essential conditions for the Bengaluru, KA, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• AWS
• AI/ML
• LLMs
• machine learning
• AI
• manufacturing
• training
• stakeholder management