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KONE moves two billion people every day. As a global leader in the elevator and escalator industry, we employ over 60,000 driven professionals in more than 60 countries worldwide joined together by a shared purpose, to shape the future of cities. In 2024, we had annual net sales of EUR 11.1 billion.
KONE has consistently been featured on Forbes list of World's Best Innovative Companies, World's Best Employers & World's Largest Public Companies.At KONE, we believe in teamwork and a work culture where everyone can be who they are. This is exactly what makes us strong and successful.
Why this role
We are looking for a highly analytical and driven intern to join our Innovation team. This role offers a unique opportunity to shape how data drives decisions and operations at scale, combining analytics, automation, and next-generation AI systems.
What will you be doing
What You Will Gain
Are you the one
What do we offer
To Be Considered
Click the Apply button and complete the online application process. A member of our Talent and Culture team will review your application and will be in contact with additional information accordingly.
In the meantime, feel free to browse our website for additional information on our company, brands and culture - KONE Corporation.
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Kone Oyj (Finnish pronunciation: [ˈkone]; officially stylized as KONE and trading as KONE Corporation) is an international engineering and service company employing over 60,000 personnel across 60 countries worldwide. It was founded in 1910 and is now headquartered in Espoo near Helsinki, Finland. In addition, Kone builds and services moving walkways (referred to by the company as autowalks),automatic doors and gates, escalators and lifts. The company provides local service for builders, developers, building owners, designers and architects in 1,000 offices in over 50 countries.
Job ID: 151685919
Skills:
data engineering , Data Analytics, Power Bi, Tableau, Sql, Data Visualization, Python, Hive, Spark, Reporting Tools, Statistical Analysis, AI-assisted data analysis tools, RAG Retrieval-Augmented Generation AI agents, building data pipelines, MCP frameworks, Superset, data dashboards, AI workflow integration, large-scale data platforms, context engineering, prompt engineering
Skills:
Github, Machine Learning, Tensorflow, Numpy, Git, Pandas, Pytorch, Gitlab, Python, agentic AI, Data Analysis, Generative AI, scikit-learn