DATA SCIENCE ANALYST II FOR ISC

At Trane Technologies we Challenge the Possible.
Our brands – including Trane® and Thermo King®– create access to cooling and comfort in buildings and homes, transport and protect food and perishables, connect customers to elevated performance with less environmental impact, dramatically reduce energy demands and carbon emissions, and innovate with a better world in mind.
We boldly challenge what’s possible for a sustainable world.
Job Summart.
We are seeking an innovative and experienced Data Scientist Automation Lead to drive the integration of AI, machine learning, and automation technologies within our organization.
This role will focus on enhancing operational efficiency, optimizing workflows, and delivering data-driven insights through advanced automation solutions.
The ideal candidate will have a strong background in data science, automation, and leadership, with a proven track record of implementing successful AI-driven projects.
Based at our Bangalore Office India, you will report directly to the Data Science Leader.
Key Responsibilities.
·        Development and execution of the automation strategy for supply chain operations, leveraging AI and machine learning to enhance operational efficiency.
Identify opportunities for automation across various supply chain processes and functions.
Stay updated with the latest advancements in AI and automation technologies to ensure the organization remains at the forefront of innovation.
Design, develop, and deploy AI and machine learning models to automate complex supply chain tasks and processes.
Collaborate with cross-functional teams to integrate AI solutions into existing supply chain systems and workflows.
Ensure the scalability and robustness of AI models and automation solutions.
Oversee the collection, processing, and management of large datasets to support supply chain automation initiatives.
Ensure data quality, integrity, and compliance with relevant regulations and standards.
Implement data governance practices to maintain transparency and accountability.
Analyze existing supply chain workflows and processes to identify bottlenecks and inefficiencies.
Develop and implement automated solutions to streamline workflows and improve productivity.
Monitor and evaluate the performance of automated systems to ensure continuous improvement.
Work closely with IT, data engineering, Master Data Management (MDM), and other relevant teams to ensure seamless integration of automation solutions.
Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
Build strong relationships with key stakeholders to drive the adoption of automation technologies.
Develop metrics and KPIs to measure the impact of automation initiatives on supply chain performance.
Prepare and present detailed reports and dashboards to senior management.
Use data visualization tools to provide actionable insights and facilitate decision-making.
Qualifications.
·        Education.
Advanced degree in Data Science, Computer Science, Engineering, Supply Chain Management, or a related field.
·        Experience.
Proven experience (typically 5+ years) in data science, with a focus on AI and automation in supply chain management.
·        Demonstrated experience in implementation of AI solutions / Automations Key Competencies.
Proficiency in programming languages and tools commonly used in data science and automation (e.
., Python, R, SQL, TensorFlow, PyTorch, Gen AI Chatbot).
Experience using Microsoft CoPilot Understanding of Large Language Models Experience with data visualization tools (e.
., Tableau, Power BI) ·        Excellent problem-solving skills and the ability to think strategically and analytically.
·        Strong communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels.
·        Knowledge of data governance, data privacy, and ethical considerations in AI and automation.
We offer competitive compensation and comprehensive benefits and programs that help our employees thrive in both their professional and personal lives.
We are proud of our winning culture which is inclusive and respectful at its core.
We share passion for serving customers, caring for others, and boldly challenging what’s possible for a sustainable world.
We are committed to achieving workforce diversity reflective of our communities.
We are an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.