Principal Data Scientist

Skip to main content.

View More Jobs

Principal Data Scientist

Bengaluru, Karnataka, India

Job Description

Role Summary

1. The Principal Data Scientist will lead Data Science for Asset Reliability and Cognition portfolio to innovate and mature prognosis models for industrial equipment’s, models to optimize maintenance strategies, and reduce operational risk.

2. This role requires a blend of machine learning expertise, reliability engineering knowledge, and oil & gas domain experience to drive measurable impact across critical assets.

3. Also required is a customer-oriented focus by acknowledging their needs and offering pragmatic customer solutions that align with their data capabilities.

Responsibilities

• Key Responsibilities

• 1. Predictive maintenance: Design and deploy ML models to forecast equipment failures and optimize maintenance schedules.

• 2. Digital twin development: Build hybrid AI + physics-based models to simulate asset health and performance.

• 3. Advanced anomaly detection: Implement deep learning and unsupervised methods for early detection of vibration, corrosion, and fouling.

• 4. Reliability analytics: Apply Bayesian networks, causal inference, and probabilistic modeling to identify root causes of failures.

• 5. Cross-functional leadership: Mentor data science teams, collaborate with engineers, and influence executive stakeholders.

• 6. Research and maintain a deep knowledge of the industry, including trends and technologies to identify strategy opportunities and contribute to thought leadership best practices.

Qualifications

Qualifications

• 1. PhD or Master’s in Data Science, Reliability Engineering, Chemical/Mechanical Engineering, or Applied Mathematics.

• 2. 12+ years of industrial analytics experience, with at least 5 years in oil & gas reliability.

• 3. Expertise in time-series forecasting, reinforcement learning, graph neural networks.

• 4. Proficiency in Python, R, Scala, Spark, Hadoop, and cloud-native ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI).

• 5. Familiarity with asset reliability standards.

• 6. Experience in risk-based inspection (RBI), HAZOP analytics, and probabilistic reliability modeling.

• Focus Area Contribution:

• 1. Asset Reliability: Extend asset life cycles and reduce catastrophic failures.

• 2. Operational Excellence: Integrate ML with process simulators for refinery-wide optimization.

• 3. Cost Reduction: Deliver multimillion-dollar savings via predictive maintenance and inventory optimization.

• 4. Safety & ESG: Enhance compliance and reduce environmental incidents through proactive monitoring.

• 5. Digital Transformation: Champion AI adoption across enterprise reliability programs.

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.

Apply Now

Job Info

• Job Identification153658
• Job CategoryData & Analytics
• Posting Date07/16/2026, 01:14 AM
• Job ScheduleFull time
• Locations HW Camp II,Bldgs 9A&9B,Plot C2,RMZ Ecoworld,Varturhobli, Bangalore, KA, 560103, IN
• Hire EligibilityInternal and External
• Relocation PackageNone

Similar Jobs

• Data Scientist I\ \ Bengaluru, Karnataka, IndiaPosted on 06/02/2026\ \ Trending\ \ As a Data Scientist I here at Honeywell, you will apply data analysis, machine learning, and statistical modeling to solve business problems. Collaborate with senior data scientists and teams to drive data-driven solutions.You will report directly to our [Title] and you’ll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.

• Sr Advanced Data Scientist\ \ Bengaluru, Karnataka, IndiaPosted on 06/11/2026\ \ Trending\ \ As a Sr Advanced Data Scientist here at Honeywell, you will provide technical insight in machine learning, statistical modeling, and data analysis. You will translate business needs into data science solutions and lead complex projects.You will report directly to our Manager and you’ll work out of our Bangalore,Karnataka location on a Hybrid work schedule.

American English

• Deutsch

• American English

• Español

• Français

• Français canadien

• Nederlands

• 简体中文

• Honeywell Career Site

• Resource For honeywell

I am an employee

We use cookies to improve website performance, facilitate information sharing on social media and offer advertising tailored to your interests. For more information, see our Cookie Notice. You can also customize your browser’s cookie settings. Please note that if you refuse cookies, it may affect site functionality and performance.

Accept AllReject All

Manage Preferences

Are You Still With Us?

It seems you've been gone for a while. For security reasons we will end your session automatically in 03:00 unless you would like to continue working.

End SessionContinue Working

Work Summary

This summary is generated by AI Assist. Click inside the summary text box to make changes as necessary.

DiscardAdd Summary

Page Principal Data Scientist - Honeywell Careers loaded