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:
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient environments, it’s our responsibility to put the planet first. For us at Trane Technologies, sustainability is not just how we do business—it is our business. Do you dare to look at the world’s challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what’s possible for a sustainable world.
The Data Scientist in HR will be responsible for leveraging advanced analytics and machine learning techniques to develop predictive models and algorithms that optimize HR processes and decision-making. They will collaborate with cross-functional teams to identify opportunities for AI implementation, enabling automation and efficiency in HR functions such as talent acquisition, performance management, and employee engagement. This role requires a strong understanding of HR data, statistical analysis, and the ability to translate complex insights into actionable recommendations for HR leaders.

• Develop and Implement Predictive Models: Develop and implement predictive models and algorithms using advanced analytics and machine learning techniques to optimize HR processes and decision-making.
• Model Evaluation: Conduct regular evaluations and assessments of implemented models and algorithms to measure their effectiveness and make necessary improvements.
• Data Extraction and Analysis: Extract, clean, and analyze large datasets to derive meaningful insights and identify patterns and trends related to HR metrics, talent management, and employee engagement.
• Broader Analytical Needs: Assist with other broader analytical needs beyond AI as needed, including developing dashboards, data analysis, and ESG reporting.
• Cross-Functional Collaboration: Collaborate with cross-functional teams to identify opportunities for AI implementation in HR functions.
• Data Privacy and Security: Ensure data privacy and security by adhering to relevant regulations and best practices in data handling and analysis.