Who will you be working with?

This role is an integral part of the Wabtec IT Data & Analytics (DnA) Team. As a Sr. Data Scientist, you will be a key member of the DS / AI Development team, working closely with both Wabtec IT DNA team and Business stakeholders to provide solutions for complex data challenges by delivering predictive, prescriptive models and AI / Gen AI solutions to the needs of various Wabtec Business Units and Functions.

How will you make a difference?

We are seeking a collaborative and highly motivated Sr. Data Scientist to extend our teams success and enhance customer experience through impactful AI and machine learning solutions. As a member of the Wabtec IT Data & Analytics (DnA) Team, you will be responsible for:

• Participate in all stages of agile / scrum to design, develop, test, deploy and support data science / AI models, which are integrated with different applications. Apply new ideas and follow data flow patterns that can deliver products to show ease of use, faster and smarter ways.
• Works closely with the TPM of the scrum team to service the needs of the Business teams to deliver solutions. Collaborate well with the DnA team & with cross-functional business users.
• Key responsibility is the development of AI based solutions for different use cases based on business requirements.
• Deliver on data science / AI projects, ensuring they meet business requirements and deliver on time
• Proven ability to work independently with cross functional teams on medium scale projects and handling business interactions
• Align data flows, design, architecture with business requirements and prepare data for data science models
• Mentor interns or assist data engineers & peers on technical competencies if required.
• Generating information and insights from data sets and identifying trends & patterns, preparing reports for quick validations.
• Research and experiment with new AI tools, frameworks, and techniques as needed

What do we want to know about you?

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.
• Strong 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.
• Strong experience with 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.
• Exposure to Industrial engineering domain is preferred
• Flexible and Quick learner
• Critical thinking, decision making, troubleshooting and problem-solving skills
• Uses teamwork skills to achieve goals, solve problems, and manage conflict
• Ability to support multiple initiatives simultaneously and work in a fast-paced environment
• Excellent verbal & written communication skills, including communicating technical issues to non-technical audiences

We would love it if you had:

• Highly self-motivated with the ability to work independently, passionate about business & attention to details
• Creative, willing to understand, asking questions
• Ability to acquire any specialized domain knowledge required to be more effective in all required activities
• Ability to operate in a fast-paced environment with a sense of urgency, ownership, and accountability
• Adaptable/Flexible: being open to change in response to new information, different or unexpected circumstances, and having the ability to navigate ambiguous situations
• Ability to break down problems and estimate time for development tasks
• Ability to make basic technology choices based on experience
• Effectiveness and Efficiency, and Accountability
• Experience in analytical storytelling and stellar communications skills

What will your typical day look like?

• Collaborate daily with D&A- AA & AI scrum team and interact often with Architecture team for reviews and technical recommendations.
• Engage with internal stakeholders and the DNA team to understand business needs, provide project updates, and align AI initiatives with deliverables
• Work closely with business stakeholders and the DS Manager to define project goals and success criteria for the assigned project(s)
• Design, develop, and deploy AI & Generative AI solutions on the AWS Data Lake platform.
• Conduct data preprocessing, analysis, and model development, including fine-tuning LLMs, image processing, NLP, and algorithm optimization for cost-effective, high-performance solutions.
• Test and measure the impact of new AI/GenAI features and analyze experiment results to provide data-driven recommendations.
• Explore data trends, identify insights, and integrate AI-powered solutions into business workflows for improved efficiency.

What about the physical demands of the job?

• Ability to operate a laptop or desktop and to sit for extended periods of time
• Concentrate for long periods of time
• Work independently and as part of a team
• Manage multiple projects simultaneously
• Meet deadlines under pressure

Role: Data Scientist

Industry Type: Courier / Logistics

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: B.Tech/B.E. in Production/Industrial

PG: M.Tech in Electronics/Telecommunication, LLM in Law

About company

Today, Wabtec is a leading supplier of freight car and locomotive products. We are a global leader in rail friction, HVAC and pantographs. Our customers depend on us for the development and production of electronic recording, measuring and communications systems. Our focus on advanced engineering and new product development has resulted in more than 4,000 active patents.