At Trane Technologies TM 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.