Data Scientist - People Analytics - ABB

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:

What we believe in

ABB is a worldwide provider of electrification and automation solutions, enabling a more sustainable and resource-efficient future. By combining its engineering know-how and digital capabilities, ABB helps industries run at high performance while improving efficiency, productivity, and sustainability so they can outperform. We call this ‘Engineered to Outrun’

The company has over 140 years of history and more than 105,000 employees worldwide. ABB’s shares are listed on the SIX Swiss Exchange (ABBN) and Nasdaq Stockholm (ABB).

At ABB, we are committed to advancing diversity and inclusion across all dimensions: gender, LGBTQ+, abilities, ethnicity, and generations. We welcome and celebrates individual differences to create a future where innovative digital technologies allow greater access to cleaner energy.

Your role and responsibilities

As part of the People Analytics team, the Data Scientist will contribute to a resourceful, quick-reacting group that supplies dependable, high-quality analytics to business and HR leaders to support Talent, Performance, and Culture planning.

Reporting to the Team Lead or Global Head of People Analytics, you will be responsible for delivering global projects that improve workforce decision-making at ABB

The work model for the role is: Hybrid

You will be mainly accountable for:

• Partner with cross-functional and global teams to lead analytics projects that solve complex business problems, managing the end-to-end lifecycle from requirement gathering and data extraction to analysis and presenting insights.
• Develop advanced statistical and machine learning models using techniques such as regression, clustering, forecasting, decision trees, neural networks, and other data mining methods to generate actionable insights.
• Leverage programming languages and platforms such as Python, R, Snowflake, NoSQL, and data lakes to build predictive models, scalable frameworks, and machine learning solutions.
• Translate people and business data into meaningful insights by defining People KPIs and creating impactful visualizations using tools such as Power BI, Advanced Excel, VBA, and other analytics technologies.
• Oversee strategic analytics projects focused on workforce performance, cultural development, and employee experience, applying NLP and deep learning techniques to interpret unstructured data and deliver creative outcomes.

Qualifications for the role:

• Demonstrate initiative, solid quantitative skills, and comfort working with large datasets to extract insights that support strategic decision-making.