Summer Trainee, Machine Learning

KONE Technology and Innovation (KTI) is where the magic happens at KONE. It's where we combine the physical world - escalators and elevators - with smart and connected digital systems. We are changing and improving the way billions of people move within buildings every day. We are on a mission to expand and develop new digital solutions that are based on emerging technologies.

KONE R&D brings together top talent from different disciplines into an industry-leading product and technology organization. We thrive in solving complex customer challenges, connecting legacy with the latest technologies, across hardware and software engineering. In fact, roughly half of our R&D roles are in software. Agile ways of working mean that we are better able to meet our customers' rapidly evolving needs for speed and innovation, in a global environment.

We are now looking for a Summer Trainee, Machine Learning

KONE moves 2 billion people every day and our aim is to maximize safety and availability for the benefit of our users and customers. Our service business entails maintenance of global fleet of elevators and escalators in 60+ countries and our IoT operations are amongst the largest in the world. In this traineeship you will work in a team whose mission is to predict impactful maintenance actions for our 30 thousand maintenance technicians and help us to foresee issues before they cause service disruption to our end users.

This position is in Espoo, Finland. Team is working partly remotely and partly in the office (1-2 days each week). Every second Wednesday will be spent on our Hyvinkää R&D facility where it is possible to gain understanding of the physical equipment that produce the data we're using for predictions. You get to network with your fellow trainees and form valuable relationships across various KONE KTI departments. This will give you a good overview of our service and new equipment businesses.

We are looking for a student with final stages in their university studies (Master's studies) to work for up to four months between May and September 2026, based on availability and preference.

Your tasks in the team may consist of working on data and machine learning pipelines on Databricks and AWS cloud, performing data analysis, visualizing data, dashboard development, incident resolution, bug fixes, monitoring, and data profiling. You will gain understanding of production quality devops, dataops, and mlops practices as well as cutting edge big data tools and predictive models.

In order to be successful in this role, you preferably have

• Studies in data science, machine learning, data engineering, software engineering, computer science, physics, statistics, mathematics, or related field
• Experience in SQL and database understanding
• Interest and experience in programming in Python
• Knowledge of data science and data engineering tools and libraries (e.g. sklearn, Pandas, Spark) Experience of big data tools, neural networks, and cloud services would be a big plus
• Exposure to SW engineering principles is an advantage
• Curious mind and willingness to learn and share knowledge and ideas
• Good analytical skills, independent and cooperative approach to work
• Good written and verbal communication skills in English

We offer

You will be working with highly dynamic teams significantly investing time and effort on how we develop our products and services and solutions. You get a chance to work with and participate in further developing products that are used by billions of users in daily basis. Products that are widely recognized by their quality and innovation.

Want to join the #PeopleFlow?

If you think this could be an inspiring challenge for the summer, please tell more about yourself, your availability during the summer and why you are interested in this specific role and submit your CV and application letter via our Careers-site www.kone.com/jobs latest on 26.1.2026.

#Techsummer

#LI-IT #LI-Hybrid

At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.

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