At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.
This Position reports to:
R&D Engineer

MORE ABOUT US

ABB Smart Power provides energy distribution solutions for data centers, industrial and manufacturing plants, critical infrastructure and commercial buildings. The Division’s technical teams work closely with industry partners, delivering advanced solutions that support rapid growth, energy transition, and sustainability objectives. The Division’s portfolio includes industrial circuit breakers, low-voltage systems, motor starting applications, and safety devices like switches and relays. Its Power Protection unit supports the world’s largest data center companies with advanced energy-efficient UPS solutions. The Division’s ABB Ability™ Energy Manager provides a scalable, easy-to-use platform that helps organizations save energy and reduce CO2 emissions.

YOUR ROLE AND RESPONSIBILITIES

In this role, you will have the opportunity to shape the future of data-driven innovation within ABB. You will contribute significantly to the development of advanced AI and data science solutions that power our digital platforms and smart energy systems. Each day, you will apply your expertise to solve complex problems, drive innovation, and support the development of cutting-edge technologies.
The work model for the role is: hybrid.
Location: European time zone
This role is contributing to the Digital Platforms & Capabilities Agile Unit in Electrification Smart Power.

You will be mainly accountable for:

• Develop Advanced AI and Data Science Solutions: Design, build, and deploy machine learning models and AI algorithms to support digital energy platforms and smart power systems.
• Lead Data-Driven Projects: Take ownership of end-to-end data science initiatives, from data exploration and feature engineering to model validation and deployment.
• Collaborate Across Disciplines: Work closely with software engineers, product owners, domain experts, and business stakeholders to translate business needs into scalable AI solutions.
• Promote Innovation and Best Practices: Stay up to date with the latest trends in AI and data science, mentor junior team members, and contribute to a culture of continuous learning and innovation.

QUALIFICATIONS FOR THE ROLE

• MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, or a related field.
• Minimum 5 years of experience in data science, machine learning, or AI roles, preferably in industrial or energy-related sectors.
• Strong proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experienced in working with Large and Small Language Models, as well as prompt engineering. Familiarity with cloud platforms (e.g., Azure, AWS) and MLOps practices is a plus.
• Familiarity with energy systems, IoT data, or industrial automation is highly desirable.
• Analytical thinker with a proactive, problem-solving attitude. Comfortable working in agile environments and navigating ambiguity.
• Fluent in English, both written and spoken.