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:

We are looking for a talented and innovative Analytics Developer to work in a High Power R&D and Analytics Development team. Mission of the team is to develop value-add solutions and features helping our customers to obtain maximum availability and optimum performance from our variable speed drives. Examples of team deliverables are asset health solution, including features for automatic detection of abnormal behavior and remaining life time estimates.

In this role you will work in close collaboration with other drive experts, software developers and data scientists having opportunity to learn other domains. Team uses state-of-the-art technologies and follows latest developments in relevant fields.

You will have opportunity to contribute on all parts of development depending on your interests and skills.

The work model for the role is: hybrid #LI-hybrid

You will be mainly accountable for:

• Create means to transform data obtained from variable speed drives and production tests to easy to understand indicators and insights
• Develop advanced algorithms and models to embedded and edge devices
• Coach and support the team for enabling data driven development and usage of modern data science tools and methods
• Further improve our data pipelines and data management
• Work as a part of global development team following agile development practices

Qualifications for the role:

• MSc degree in field of Electrical Engineering, Power Electronics and Control Engineering, Automatics and Robotics or related field
• Software development experience and familiarity with development tools such as GIT and Azure DevOps. Capability to program with C++ and Python languages
• Familiar wit LV/MV drives, software and hardware. Preferable understanding on condition monitoring or failure modest on electrical devices
• Understanding of machine learning methods and tools is an advantage
• You are collaborative by nature and Curious to learn new things
• Fluent spoken and written English

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.