Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, 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.
Learn about our benefits designed for you to Thrive at work and at home.
We boldly go.
Where is the work:
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
A Senior Data Scientist role offers the opportunity to make a meaningful impact by turning complex data into insights that drive strategic decisions and real business outcomes. You’ll have end-to-end ownership of advanced analytics and machine learning solutions, work with modern tools and technologies, and collaborate closely with cross-functional teams. The role provides strong opportunities for professional growth, continuous learning, and advancement, all within a supportive, purpose-driven culture focused on innovation, sustainability, and delivering measurable value.
Thrive at work and at home:
Where is the work:
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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:
What you will bring:
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B.E/B.Tech in Computer Science, Data Science or Engineering; master’s in data science is preferred.
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5–7 years of professional experience in data science and advanced analytics.
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Expertise in SQL includes complex querying, performance tuning, and data modeling.
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Advanced proficiency in Python and familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
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Solid understanding of machine learning algorithms, statistical modeling, and applied mathematics.
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Experience in deploying ML models into production environments.
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Good understanding and exposure to GenAI concepts and practical applications
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Strong analytical, problem-solving, and communication skills.
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Solid experience working with cloud platforms such as AWS, GCP and Azure.
Career Break:
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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.
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.
