Senior Data Scientist – Data & Analytics

Johnson Controls International (JCI) is seeking an experienced Senior Data Scientist with 7 years or more of relevant experience to join our dynamic Data Science and Analytics team. This role is perfect for a seasoned expert with a deep understanding of machine learning, AI, and cloud data platforms, as well as significant experience with Generative AI and Large Language Models (LLMs).

In this role, you will spearhead the development and deployment of scalable AI solutions, including LLM-powered applications, to drive digital transformation across JCI's products, operations, and customer experiences. You will be instrumental in shaping JCI’s data science strategy, mentoring team members, and leveraging AI to deliver tangible business value.

Key Responsibilities:

Advanced Analytics, LLMs & Modeling

• Design and implement advanced machine learning models such as deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude).
• Develop use cases for enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models.
• Fine-tune foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) or perform prompt engineering for domain-specific applications.
• Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production environments.

Data Strategy & Engineering Collaboration

• Collaborate with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines.
• Contribute to the development of retrieval-augmented generation (RAG) architectures utilizing vector databases (e.g., FAISS, Azure Cognitive Search).
• Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management.

Business Impact & AI Strategy

• Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to address complex business challenges.
• Lead workshops or proofs-of-concept to demonstrate the value of LLM use cases across various business units.
• Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences.

Thought Leadership & Mentorship

• Serve as an internal thought leader in AI and LLM innovation, ensuring JCI remains at the forefront of industry advancements.
• Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks.
• Contribute to strategic roadmaps for generative AI and model governance within the enterprise.

Qualifications & Experience:

• Education in Data Science, Artificial Intelligence, Computer Science, or a related quantitative discipline.
• 7+ years of hands-on experience in data science, with at least 1–2 years focused on LLMs or generative AI technologies.
• Demonstrated success in deploying machine learning and NLP solutions at scale.
• Proven experience with cloud AI platforms such as Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock.

Technical Expertise:

• Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow.
• Experience with prompt engineering, fine-tuning, and LLM orchestration tools.
• Familiarity with data storage, retrieval systems, and vector databases.
• Strong understanding of model evaluation techniques for generative AI, including metrics for factuality, relevance, and toxicity.

Leadership & Soft Skills:

• Strategic thinker with a strong ability to align AI initiatives with business goals.
• Excellent communication and storytelling skills, particularly in articulating the value of LLMs and advanced analytics.
• Strong collaborator with a proven track record of influencing stakeholders across product, engineering, and executive teams.

Preferred Qualifications:

• Experience with IoT, edge analytics, or smart building systems.
• Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks.
• Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.

Location: Pune, Maharashtra, India