KONE Technology and Innovation Unit (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.
R&D unit in KTI is responsible for developing digital services at KONE. It’s the development engine for our Digital Services such as KONE 24/7 Connected Services , Office Flow and Partnership Ecosystem.
We are looking for a Senior Lead Data Scientist to join our 24/7 Intelligence Analytics team, developing cutting-edge predictive maintenance solutions for our connected equipment. You’ll play a key role in enabling intelligent decision-making through data and AI – ensuring reliability and performance for millions of users worldwide.
The role is located in Espoo / Hyvinkää Finland. We work in a hybrid model so there’s possibility to work remotely couple of days a week.
In this role, you will
-Collaborate with business and engineering teams to identify challenges and design impactful analytical solutions
-Build, evaluate, and optimize machine learning models to enable predictive capabilities and intelligent insights
-Productionize analytical solutions and implement algorithms leveraging large-scale IoT data
-Champion data science best practices and drive technical excellence in analytics architecture
We are looking for someone with
-PhD/MSc or equivalent knowledge in data science, computer science, or related quantitative fields
-Proven experience in developing, deploying, and managing analytical solutions at scale
-Expertise in statistical modeling and machine learning techniques
-Strong Python programming skills and proficiency with libraries like Pandas, NumPy, PyTorch, TensorFlow
-Experience with modern cloud platforms (preferably AWS, but Azure/GCP are also valued)
-Familiarity with DevOps and CI/CD practices (e.g., Terraform, GitLab CI/CD)
-Knowledge of test automation frameworks, such as Robot Framework and unit testing practices
-Excellent communication, collaboration, and stakeholder engagement skills
-A curious mindset with a passion for innovation and continuous learning
Tech stack you’ll work with
Cloud & Data Platforms:
-AWS, AWS Glue, AWS Batch, Lambda, CloudWatch
-Databricks, Spark, Flink, Delta Tables, DBT
DevOps & Automation:
-Terraform, GitLab CI/CD
-Robot Framework, Unit Testing
BI:
-Business Intelligence dashboards
-Data quality tooling and monitoring frameworks
For additional information please contact Terhi Markkanen Head of Data and Analytics SW on Friday, July 4th between 11-12 o’clock EET tel. +358 40 489 3247.
What we offer
-A collaborative culture that empowers you to innovate and make an impact
-Trust-based, flexible working culture
-Access to modern cloud-native tech and real-world industrial data
-Strong support for professional growth, learning, and leadership development
Want to join the #PeopleFlow?
If you think this could be your next inspiring challenge, please submit your application as soon as possible via our Careers-site www.kone.com/jobs latest by July 11th, 2025.
#LI-KTI
#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.
Read more on www.kone.com/careers
How we hire
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