Responsibilities

KEY RESPONSIBILITIES

- Collaborate with cross-functional teams to identify business challenges and opportunities for AI-driven solutions.

- Translate business requirements into technical specifications for data science initiatives.

- Partner with S4 team, functions and the business teams to understand AI capabilities, execute data readiness workstream for S4 and deploy AI enabled workflows for the PT business.

- Evaluate model performance and fine-tune algorithms to improve accuracy and efficiency.

- Deploy AI models with dependent solutions into production and monitor their performance to ensure reliability and scalability.

- Design agentic AI architectures with prompt engineering and rule‑based automation to identify root causes, recommend actions, and continuously refine business‑aligned solutions.

- Develop and implement advanced AI models and algorithms to analyze complex datasets.

- Stay current with emerging AI research and technologies, incorporating relevant innovations into AI solutions.

- Ensure AI solutions adhere to data governance standards and ethical best practices throughout their lifecycle.

Qualifications

YOU MUST HAVE

- 6+ years of experience in data science, machine learning, or a related field.

- Proven experience in developing and deploying AI models and algorithms.

- Experience working with Databricks, Azure AI foundry, Google Gemini Enterprise Agent platform or similar for data preparation, training, and experiment tracking.





- Strong programming skills in languages such as Python or R.

- Robust project management and organizational abilities

- Strong written and spoken communication skills in English.

WE VALUE

- Bachelor’s or advanced degree in Computer Science, Data Science, Mathematics, or a related quantitative field.

- Experience with big data platforms and distributed processing, including Hadoop, PySpark, Hive, and related technologies.

- Solid foundation in machine learning and statistics, including feature engineering, algorithm selection, hyperparameter tuning, and predictive modeling.

- Hands-on experience with GenAI and agentic frameworks, such as LangChain, LlamaIndex, vector indexes/databases, and S/4 AI agent workflows.

- Experience preparing and analyzing multimodal data (text, images, audio, PDFs) and visualizing insights using modern data visualization tools.

- Proven leadership and collaboration skills, including leading data science initiatives, solving complex problems, and working effectively in fast-paced, cross-functional teams

About Us

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

📌 Sr Advanced Data Scientist (Pune)
🏢 Honeywell Technologies
📍 Pune