Senior Data Scientist

Trane Italia • Montreal, QC

4d • $90,900 - $189,800 • Hybrid

About The Position

We are seeking a highly resourceful Senior Data Scientist to join our international AI in Engineering team within Advanced Concepts & Capabilities. This role designs, builds, and deploys AI- and data-driven solutions that improve engineering productivity, accelerate model and simulation workflows, enhance access to engineering knowledge, and support the development of data-enabled engineering tools across Trane Technologies. The role operates within a globally distributed team focused on generative AI, machine learning, deep learning, high performance computing, data access, content engineering, data enhancement, and agent-based workflows.

Requirements

• Master’s degree or PhD in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field, or equivalent experience.
• Strong experience with Python for data analysis, model development, and application development.
• Solid foundation in machine learning, statistical modeling, and generative AI concepts.
• Experience handling raw, unstructured, and engineering data, including preprocessing, feature development, and preparing data for modeling workflows.
• Familiarity with SQL, NoSQL, cloud services, and modern AI/ML tooling.
• Experience building or supporting applications, workflows, or services that operationalize analytics or AI solutions.
• Ability to work effectively across a distributed, international team and partner with engineering stakeholders across multiple domains and locations.
• Strong analytical, communication, and problem-solving skills, with the ability to translate technical concepts into practical business and engineering outcomes.

Nice To Haves

• Applied data science for engineering and technical domains.
• Generative AI and agent-oriented workflow thinking.
• Data handling, reuse, enhancement, and access enablement.
• Collaboration in cross-functional and globally distributed engineering environments.
• Curiosity, initiative, and the ability to convert emerging AI capabilities into practical tools and workflows.
• Excellent communication and presentation skills.

Responsibilities

• Develop data science, machine learning, and generative AI solutions that support engineering use cases such as data access, content extraction, data enhancement, recall and extraction, and agent-enabled workflows.
• Build and refine data pipelines, preprocessing workflows, and model-ready datasets for engineering, test, and simulation data.
• Design, test, and deploy predictive, optimization, and AI-enabled applications that improve engineering productivity and decision-making.
• Support AI software development lifecycle initiatives by contributing to proof-of-concepts, use case evaluation, implementation planning, and enterprise-facing tool development.
• Help convert fragmented engineering knowledge and historical data into searchable, reusable, agent-accessible resources that improve continuity and reduce lost expertise.
• Collaborate with engineering, modeling and simulation, controls, and digital teams to integrate AI into tools, workflows, and product-development processes.
• Contribute to engineering data and AI initiatives spanning domain-specific chatbots, regulatory and compliance support tools, digital twins, time-series forecasting, solver acceleration, and physics-informed models.
• Work with cloud platforms, connectors, registries, and orchestration frameworks to enable secure and scalable AI solutions for engineering teams.
• Prepare concise technical readouts, visuals, and recommendations that communicate results and next steps to technical stakeholders and leadership.
• Mentor junior team members, contribute to team standards, and help build repeatable methods for AI and data science delivery across the international AI in Engineering organization.

Benefits

• Health insurance
• Holistic wellness programs with generous incentives
• Family building benefits include fertility coverage and adoption/surrogacy assistance.
• 401K match up to 6%, plus an additional 2% core contribution
• Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
• Educational and training opportunities through company programs
• Tuition assistance
• Student debt support

What This Job Offers

• Job Type: Full-time
• Career Level: Senior