At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This Position reports to:
Global Automation Advanced Analytics Service Owner
Your role and responsibilities (Mandatory)
In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas. Each day, you will drive data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML). You will also showcase your expertise by building and maintaining large-scale statistical models that turn billions of data points into insights and actions.
The work model for the role is: #LI hybrid
This role is contributing to the Process Automation (PA) division. Main stakeholders are business process owners, domain experts, product managers, digital transformation leaders, and analytics teams.
You will be mainly accountable for:
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Supporting the identification and implementation of analytics use cases, including data collection, preparation, feature engineering, model development, testing, and deployment.
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Developing and enhancing AI/ML models, creating data pipelines, and designing innovative approaches to analyze and visualize business data.
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Understanding and applying the complete data analytics lifecycle, including data discovery, preparation, modeling, validation, deployment, monitoring, and communication of results.
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Collaborating with cross-functional teams to solve business challenges using data-driven approaches and delivering insights that support decision-making.
Qualifications for the role (Mandatory)
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You enjoy working with data, machine learning, software engineering practices, cloud technologies, and modern analytics platforms within the industrial automation and manufacturing sector.
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You have 0–2 years of experience through academic projects, internships, research assignments, or entry-level roles in Data Science, Data Analytics, Machine Learning, Computer Science, or Software Engineering.
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Knowledge of Python, SQL, Snowflake, data modeling, ETL/ELT concepts, APIs, software development best practices, and version control tools such as Git.
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Highly adept in Snowflake Data Cloud, Python data science libraries (Pandas, NumPy, Scikit-learn), Azure cloud services, and data visualization tools such as Power BI.
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You are passionate about problem-solving, analytical thinking, continuous learning, collaboration, and communicating technical concepts to non-technical audiences.
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Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, or a related quantitative field.
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You are at ease communicating in English, both written and verbal. Valid work authorization and visa/work permit requirements applicable to the job location are required.
More About US :
The Energy Industries Division serves a wide range of industrial sectors, including hydrocarbons, chemicals, pharmaceuticals, power generation and water. With its integrated solutions that automate, digitalize and electrify operations, the Division is committed to supporting traditional industries in their efforts to decarbonize. The Division also supports the development, integration and scaling up of new and renewable energy models. The Division’s goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence(AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency, as well as reduce risk, operational cost and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle.
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.
Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.
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