At Trane TechnologiesTM  and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

What’s in it for you:

Thrive at work and at home:

• Inclusive Wellbeing Program, with resources to support your and your family’s physical, social, emotional, and financial well-being. 
• Comprehensive learning and development solutions, designed to support our people in connecting and growing, including Higher education/Certification reimbursement.
• Sense of belonging & community through our Employee Resource Groups that foster our culture of inclusion.
• Volunteerism: 8 hours of paid time off per calendar year to volunteer with non-profit charitable organizations.  

• The Trane Technologies Helping Hands Fund to support employees facing financial challenges due to unforeseen personal hardship.

   

   

Where is the work:

• From Monday to Thursday, work onsite with your colleagues. On Fridays, choose your work location, balancing what your work requires.

What you will do:

In this role you will: 

• Partner with product, engineering, and business teams to define requirements and deliver actionable data-driven insights.
• Analyze large, complex datasets to develop actionable insights that support strategic and operational decision-making.
• Design and develop data pipelines, ETL processes, and analytical tools using SQL and Python.
• Lead Python-based development for automation, data transformation, integration tasks, and ML/AI pipeline development.
• Conduct in-depth exploration and advanced analytics to uncover patterns, anomalies, and business opportunities.
• Apply machine learning, advanced analytics, and GenAI techniques to solve business problems.
• Perform feature engineering, model validation, and performance optimization for ML models.
• Stay current with emerging trends in AI/ML and recommend innovative approaches and technologies.
• Ensure data quality, governance, and compliance with organizational standards and best practices
• Contribute to and help improve CI/CD processes for analytics including version control (Git)
• Apply DevOps principles to improve reliability, monitoring, and maintainability of analytical workflows.
• Identify opportunities for operational improvements and promote consistent data quality standards across analytics teams.

• Maintain and enhance documentation, ensuring clarity and alignment across stake holders.

   

   

What you will bring:

• B.E/B.Tech in Computer Science, Data Science or Engineering; master’s in data science is preferred.
• 5–7 years of professional experience in data science and advanced analytics.
• Expertise in SQL includes complex querying, performance tuning, and data modeling.
• Advanced proficiency in Python and familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of machine learning algorithms, statistical modeling, and applied mathematics.
• Experience in deploying ML models into production environments.
• Good understanding and exposure to GenAI concepts and practical applications
• Strong analytical, problem-solving, and communication skills.
• Solid experience working with cloud platforms such as AWS, GCP and Azure.

Career Break:  

• We have a Relaunch Program for professionals looking to restart their careers after a break. If you come with a career break of at least 12 months and match the work experience requirements mentioned, you are welcome to apply. 
  
  

Equal Employment Opportunity:     

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.