Sr Advanced Data Scientist
Honeywell Technologies · Bengaluru
- Experience8–14 yrs
- SalaryNot disclosed
- RoleData Scientist
- Work modeonsite
- Posted14 Oct 2026
About Honeywell Technologies
Honeywell Technologies is hiring in Bengaluru in manufacturing industrial. This role looks for around 8+ years of experience.
Skills
- Generative AI
- Large Language Models (LLMs)
- Causal AI
- Knowledge Graphs
- Machine Learning
- Deep Learning
- Statistical Modeling
- Predictive Analytics
- Model Deployment and Monitoring
- Python
- PySpark
- Data Pipeline Development
- PyTest
- CI/CD
- Git
- Bitbucket
The role
Builds AI and analytics products for an industrial automation company. Develops and deploys machine learning and deep learning models, Generative AI solutions, and data pipelines for industrial and enterprise data using Python and PySpark. Applies statistical modeling, predictive analytics, and CI/CD practices to deliver production-grade solutions.
Full job description
Job Description
We are seeking an experienced Advanced Data Scientist to join our AI and Analytics product development team. In this role, you will drive the research, design, development, and deployment of advanced AI-powered solutions leveraging Generative AI, Machine Learning, Deep Learning, and modern Data Engineering technologies. You will work on high-value, complex business challenges, transforming large-scale industrial and enterprise data into actionable insights and intelligent products.
The ideal candidate combines strong expertise in AI/ML model development with robust software engineering and data engineering capabilities, enabling the delivery of scalable, production-grade solutions from concept through deployment.
Responsibilities
Key Responsibilities
Research and apply advancements in Artificial Intelligence, including:Generative AI and Large Language Models (LLMs)Causal AIKnowledge GraphsMachine Learning and Deep LearningDesign, develop, and deploy scalable AI/ML solutions that solve complex customer and business problems.Lead research initiatives, proof-of-concepts, pilot programs, and rapid prototyping activities to evaluate emerging technologies and product opportunities.Build and optimize data pipelines, data engineering workflows, and analytics platforms to support machine learning applications.Process, transform, and prepare structured and unstructured data for advanced analytics and AI model consumption.Collaborate with product managers, domain experts, software engineers, architects, and stakeholders to deliver end-to-end solutions.Perform problem analysis, solution design, development, integration, testing, deployment, maintenance, and support of analytics and AI products.Establish best practices, standards, and governance processes for AI/ML model development, deployment, monitoring, and lifecycle management.Develop high-quality, maintainable, and testable software using modern engineering practices including automated unit testing and CI/CD.Evaluate and adopt productivity-enhancing tools, frameworks, and emerging technologies to accelerate innovation and delivery.
Qualifications
Required Qualifications
Bachelor's or master’s degree in Engineering, Applied Mathematics, Statistics, or a related discipline.8 to 14 years of overall experience with at least 4 years of relevant experience in AI/ML, Analytics, Data Science, or Data Engineering product development.Strong analytical and problem-solving skills with the ability to derive insights from complex data.Experience developing and deploying machine learning or AI-based products in production environments.Experience working in agile product development organizations.
Technical Skills
Artificial Intelligence & Machine Learning
Generative AILarge Language Models (LLMs)Machine LearningDeep LearningStatistical ModelingPredictive AnalyticsKnowledge GraphsCausal AIModel Deployment and Monitoring
Programming
Advanced PythonPySpark
Data Engineering
Data Processing and TransformationData Pipeline DevelopmentData Preparation for ML WorkloadsPython Packaging and Deployment
Software Engineering Practices
Automated Unit Testing (PyTest)CI/CD and DevOps PracticesGit / BitbucketGitHub CopilotScalable and Performant Application Design
Preferred Qualifications
Experience working with Industrial Automation, Manufacturing, Process Control, or Industrial IoT data.Experience supporting fast-paced product engineering and innovation teams.Exposure to MLOps, AI platform development, and large-scale distributed data processing.Strong communication, stakeholder management, and cross-functional collaboration skills.Demonstrated ability to learn, explore, and adopt emerging technologies aligned with organizational objectives.
About Us
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.