Lead Data Scientist

Founded in 1910, KONE is a global leader that provides elevators,escalatorsand automatic building doors, as well as solutions for maintenance and modernization that add value to buildings throughout their life cycle. Our mission is to improve the flow of urban life and make our world's cities better places to live by providing innovative solutions that help make people's journeys safe,convenientand reliable. Our operations in over 60 countries around the worldhashelped us achieve our position as an innovation and sustainability leader with repeated recognitions by Forbes, Corporate Knights for clean capitalism and others. 

KONE's vision is to create the Best People Flow experience by providing ease,effectivenessand experience to our customers and users. In line with our strategy, Sustainable Success with Customers, we will focus on increasing the value we create for customers with new intelligent solutions and embed sustainability even deeper acrossall ofour operations. By closer collaboration with customers and partners, KONE will increase the speed of bringing new services and solutions to the market. 

KONE Technology and Innovation Unit (KTI) is 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. 

IT professionals - KONE Corporation

We are looking for a Lead Data Scientist to join the KONE IT Enterprise Data & Analytics Unit within the Advanced Analytics IT Product Team. This is a 1-year fixed-term position, with the possibility of extension. Our team builds datadriven, machinelearning and GenAI-powered solutions that help global business functions make faster, smarter, and more strategic commercial decisions.

In this role, you will provide scientific and technical leadership for advanced analytics and GenAI solutions that support pricing intelligence, risk ranking, and commercial decision‑making at scale. You will shape analytical and GenAI strategy, guide technical standards, and ensure that cutting‑edge models translate into measurable business impact.

As a Lead Data Scientist, you will:

• Provide analytical and GenAI leadership for high‑visibility pricing and risk‑ranking solutions used across global sales and commercial organizations

• Shape the modeling, GenAI, and system design strategy, balancing innovation with robustness, explainability, and business adoption

• Own the end‑to‑end lifecycle of advanced analytics and GenAI solutions-from problem framing and experimentation to production deployment and monitoring

• Act as a trusted partner to senior business stakeholders, translating complex analytical and GenAI concepts into actionable insights

• Drive best practices for model governance, explainability, reliability, and transparency

• Collaborate closely with ML engineers, data engineers, platform teams, and product owners to deliver scalable solutions on Databricks and AWS

Key Responsibilities

• Lead the design, development, and production deployment of GenAI‑powered analytics and decision‑support products

• Define and own GenAI system architectures on AWS and Databricks, ensuring scalability, security, and operational excellence

• Design and implement agentic AI workflows, including multi‑step reasoning, tool‑using agents, and decision orchestration

• Design and deliver Retrieval‑Augmented Generation (RAG) solutions for enterprise analytics and knowledge‑driven use cases

• Evaluate, benchmark, and continuously optimize GenAI models and systems across quality, latency, cost, robustness, and hallucination control

• Establish and maintain best practices for GenAI system monitoring, observability, and production readiness

• Translate complex business problems into GenAI‑enabled analytical solutions in close collaboration with product, platform, and engineering teams

• Provide technical and scientific leadership in GenAI, applied ML, and cloud‑native analytics across the Advanced Analytics team

• Stay current with advances in LLMs, transformer architectures, and agent frameworks, applying them pragmatically to real business products

What We Are Looking For

Experience & Qualifications

• 6+ years of experience in applied data science, advanced analytics, or machine learning in production environments

• 6+ years of hands‑on experience working with AWS and Databricks in real‑world systems

• 2+ years of experience designing, deploying, and scaling GenAI‑enabled products used in production

• 1+ year of practical experience with agentic AI systems, including agent frameworks, tool calling, or multi‑step reasoning pipelines

• Strong understanding of RAG architectures, including embeddings, vector search, indexing strategies, and retrieval pipelines

• Solid understanding of transformer‑based models, attention mechanisms, and modern LLM fundamentals

• Working knowledge of neural networks and core machine‑learning concepts, with the ability to reason about model behavior and limitations

• Proven experience evaluating and optimizing GenAI systems for latency, accuracy, robustness, hallucination mitigation, and cost efficiency

• Strong software engineering skills, with a track record of writing production‑quality, maintainable, and well‑tested code

• Experience working with large‑scale transactional or commercial datasets

• Experience collaborating cross‑functionally with engineers, product owners, and business stakeholders to deliver end‑to‑end analytical solutions

• Background in pricing, revenue management, sales analytics, or commercial optimization is highly preferred

• Master's degree in Data Science, Statistics, Machine Learning, Applied Mathematics, Computer Science, or a related field. PhD is a plus but not required.

What We Value

We value analytical leaders who take ownership, challenge assumptions, and focus on impact over complexity. You enjoy working on ambiguous problems, mentoring others, and ensuring that advanced analytics and GenAI lead to better decisions-not just better models.

Ways‑of‑Working Expectations

• Work transparently and collaboratively with global stakeholders, fostering trust, psychological safety, and shared ownership

• Communicate complex analytical and GenAI concepts clearly to both technical and business audiences

• Take strong end‑to‑end ownership, with a focus on reliability, accountability, and measurable outcomes

• Demonstrate curiosity, adaptability, and a continuous‑improvement mindset in evolving business contexts

• Excellent written and spoken English

• Comfortable facilitating discussions, presenting insights, and producing high‑quality analytical and technical documentation in English

For further information
Please contact Antonio Gomez, Principal Machine Learning Engineer, Advanced Analytics via email[email protected].

Want to join the #PeopleFlow?

If you think this could be your next inspiring challenge, pleasesubmityour application including a cover letter and CV as soon as possible via our Careers siteShape the future of cities. Join our flow. | KONE Careerslatest on 26th April 2026. 

We look forward to hearing from you!

#LI-IT

#LI-Hybrid

Keskitymme KONEella luomaan innovatiivista ja yhteistyöhön perustuvaa työskentelykulttuuria, jossa jokaisen panosta arvostetaan. Työntekijöiden sitoutuminen on meille avainasemassa, ja rohkaisemme jokaista osallistumaan ja jakamaan tietoa ja ideoita. Yritysvastuu on oleellinen osa yrityskulttuuriamme ja päivittäisiä toimiamme. Noudatamme eettisiä liiketoimintamenettelyitä ja pyrimme kehittämään yhdessä tekemisen kulttuuria, jossa työntekijät luottavat toisiinsa ja kunnioittavat toisiaan ja jossa hyvät suoritukset huomioidaan. Erinomaisena työpaikkana olemme ylpeitä voidessamme tarjota erilaisia kokemuksia ja mahdollisuuksia, joiden avulla saavutat ura- ja henkilökohtaiset tavoitteesi ja voit elää terveellisesti ja tasapainoisesti.

Lue lisää https://careers.kone.com/fi-fi/