KONE is a global leader in the elevator and escalator industry, making people’s journeys safe, convenient, and reliable with smart and sustainable People Flow®. In a world where cities are constantly evolving and more and more people choose to live in them, we at KONE stand with one clear aim: to shape the future of cities. We make urban life more vibrant and livable. And we do it by enabling safe, sustainable, and effortless people flow for all. We help cities leave a positive mark on the planet - for the next century and beyond. We shape the future of cities.
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. Our common goal at KONE is to keep the end users safe and people flow uninterrupted. KONE moves 2 billion people every day and that means our services can really make cities better places to live
Job Description:
- Design, develop, and deploy predictive and recommendation models to support product intelligence and data-driven decision-making.
- Build and maintain end-to-end analytics pipelines on AWS and Databricks, including data ingestion, transformation, feature engineering, model training, and evaluation.
- Perform advanced data analysis on large-scale datasets to uncover patterns, trends, and actionable insights.
- Collaborate with data engineering teams to leverage Databricks, Spark, and cloud-native AWS services for scalable analytics and model deployment.
- Translate business and product requirements into predictive analytics and recommendation solutions with measurable impact.
- Ensure solutions adhere to transparency, explainability, data governance, and security standards.
- Deploy solutions into production and support monitoring, refinement, and performance tuning using best practices.
- Work closely with product managers and engineering teams to continuously improve model effectiveness and business value.
- Mentor junior team members and promote best practices in analytics and ML.
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 https://kone.com/global/en/careers.html
Skills Required
- Experience designing, developing, and deploying predictive and recommendation models
- Experience building end-to-end analytics and machine learning pipelines on AWS and Databricks
- Experience with Apache Spark and large-scale data analysis
- Experience with feature engineering, model training, evaluation, production deployment, and monitoring
- Knowledge of data governance, security, transparency, and explainability standards
- Experience collaborating with product managers, engineers, and data engineering teams
- Experience mentoring junior team members
Kone Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kone and has not been reviewed or approved by Kone.
-
Fair & Transparent Compensation — Pay is considered competitive across many roles and markets, with field positions sometimes benefiting from overtime and strong union scales. Feedback suggests base compensation is often a relative positive even when other factors vary.
-
Retirement Support — Retirement programs, including 401(k) and in some regions pension or annuity structures, are consistently highlighted as strong. Feedback suggests these elements meaningfully enhance the overall package.
-
Healthcare Strength — Core health coverage is viewed as comprehensive, commonly including medical, dental, and vision options. Feedback suggests a global well‑being framework and EAP resources further reinforce health-related support.
Kone Insights
What We Do
At KONE, our mission is to improve the flow of urban life. This means understanding urbanization and, together with our partners and customers, helping cities to become better and more sustainable places to live. As a global leader in the elevator and escalator industry, KONE provides elevators, escalators and automatic building doors, as well as solutions for maintenance and modernization to add value to buildings throughout their life cycle. Through more effective People Flow®, we make people's journeys safe, convenient and reliable, in taller, smarter buildings. Headquartered in Helsinki, Finland, we operate in more than 60 countries around the world, employ over 60,000 people and serve 550,000 customers. In 2022, KONE had annual sales of EUR 10.9 billion. KONE class B shares are listed on the Nasdaq Helsinki Ltd. in Finland.
