Data Scientist/AI Modeling EngineerAt ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions.That's our story. Make it your story.
This position reports to

R&D Team Manager

Your role and responsibilities

We are seeking a Data Scientist/AI Modeling Engineer to lead the design and implementation of advanced probabilistic and statistical models for risk assessment and asset management of industrial equipment. This role involves developing models to optimize maintenance strategies through predictive maintenance analytics, optimization modeling, and AI-driven insights. The primary objective is to help clients minimize downtime, enhance asset reliability, and improve operational efficiency.You will be responsible for working with large-scale structured and unstructured datasets leveraging cutting-edge data science techniques to improve data quality and drive strategic, data-informed decision-making. Work model: hybrid #LI-HybridYour responsibilities: • Develop and maintain probabilistic and statistical models to evaluate and mitigate risks associated with industrial assets and operations• Apply reliability theory and operational research methodologies to optimize maintenance strategies through predictive maintenance analytics, optimization modeling, and AI-driven insights• Implement advanced optimization techniques to analyze complex datasets, providing actionable insights for decision-making and process improvements• Extract, transform, and integrate data from diverse structured and unstructured sources to support robust model development• Collaborate with engineering teams to transition models from development to pro-duction and continuously monitor and refine models performance• Document processes and findings, creating reports and presentations to communicate insights to stakeholders

Qualifications for the role

Advanced degree in Applied Science, (Industrial/Reliability/Mechanical) Engineering, Data Science or a related field. (Masters preferred)Proven expertise (preferrable 3+ years) in data science and analytics for key areas (such as probability and statistics, time-series analysis, pattern recognition, optimization, and predictive modeling) for predictive maintenance and risk assessment in industrial settingsPreferred knowledge in reliability engineering and operational research methodologiesProficiency in Python, or similar, and experience with data processing frameworksExperience with query languages (SQL, KQL, etc.), cloud environments (Azure, AWS, etc.) and modern software development tools and processes (source control with git, unit/integration tests, CI/CD, serverless deployment with Kubernetes)

More about us

We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #MyABBStory