Mgr, Data Sci & Analytics

Role :   Mgr, Data Sci & Analytics Location :  Bangalore Full/ Part-time :   Full time About Carrier     Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort,   safety   and sustainability to life. Through   cutting-edge   advancements in climate solutions such as temperature control, air   quality   and transportation, we improve lives, empower critical   industries   and ensure safe transport of food, life-saving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the   centre   of   everything we do. For more information, visit   corporate.carrier.com   or follow Carrier on social media at @Carrier.   About This Role We are seeking an experienced AI / Analytics Engineer to join Carrier’s Global Data, Analytics & AI organization. This role is ideal for a hands-on engineer who combines a strong analytics foundation with modern AI/ML, GenAI, and Agentic AI engineering experience to develop scalable, business-critical solutions. The AI / Analytics Engineer will work closely with business stakeholders, product managers, and platform teams to understand business problems , translate them into data- and AI-driven solutions , and deliver production-ready capabilities that create measurable business value. This role requires an entrepreneurial mindset , the ability to move quickly from idea to solution , and a strong focus on building solutions that scale across functions, regions, and use cases .

Solution Development & Engineering Design, develop, and deploy analytics, AI/ML, GenAI, and Agentic AI solutions that address real business problems across functions such as Supply Chain, Manufacturing, Service, Marketing, and Commercial Operations. Build and maintain analytics engineering pipelines (data ingestion, transformation, semantic layers, feature engineering) to support advanced analytics and AI use cases. Develop and operationalize machine learning models (predictive, prescriptive, optimization) and GenAI solutions (e.g., RAG-based assistants, summarization, Q&A, copilots). Design and implement Agentic AI workflows that orchestrate tools, data, and models to automate multi-step business processes with appropriate guardrails and human-in-the-loop controls. Business Understanding & Problem Solving Partner with business stakeholders and product teams to understand requirements , frame problems, and identify opportunities where analytics and AI can drive impact. Translate ambiguous business needs into clear technical designs, data requirements, and solution architectures . Apply strong analytical thinking to define success metrics , validate assumptions, and continuously improve solutions based on outcomes. Platform, Scale & Operations Collaborate with data platform, architecture, and security teams to ensure solutions align with enterprise standards, governance, and scalability requirements . Optimize models and pipelines for performance, reliability, cost, and scalability . Support production deployment and monitoring of analytics and AI solutions, including model performance, data quality, and system reliability. Contribute to best practices for MLOps / LLMOps , including versioning, testing, evaluation, and monitoring. Innovation & Continuous Improvement Stay current with emerging trends in AI/ML, GenAI, Agentic AI, and analytics engineering , and proactively evaluate how new technologies can be applied at Carrier. Experiment, prototype, and iterate quickly—while designing solutions that can be scaled and reused across the enterprise. Promote responsible and ethical AI practices, including bias mitigation, transparency, and regulatory compliance.

Bachelor’s degree in Computer Science,