Senior Data Scientist

Who we are

TK Elevator (TKE) is a global leader in vertical transportation and urban mobility. We provide engineering that keeps the world moving, from design to installation and maintenance on any brand of elevators, escalators, walkways, lifts, passenger boarding bridges, stairlifts, platform lifts and home elevators – any place and any time. With our digital solutions like AGILE and the IoT platform, MAX, there are no longer any limits to urban mobility. TK Elevator became independent following its separation from the thyssenkrupp group in 2020. The company achieved sales of €9.3 billion in fiscal year 2023/2024. With around 50,000 employees, 25,000 service technicians and over 1,000 support centers globally, we are moved by what moves people. TKE – Move Beyond.

We are seeking a (Senior) Data Scientist who operates as a full-stack, well-rounded tech expert, capable of working across the entire value chain from data ingestion and modelling to advanced machine learning, GenAI, and Agentic AI.

You will contribute directly to TK Elevator's global Common Data Platform (CDP) and support high-impact initiatives such as CDP Nexus, Programmatic AI, and the AI Foundation. This role requires someone who understands the evolution from rule-based systems to statistical ML and now to AI/LLMs and Agentic AI, including the challenges in reliability, context, security, and data architecture that each paradigm brings.

Key Responsibilities

Advanced Analytics, Machine Learning & AI

• Develop, optimize, and deploy ML models (regression, classification, clustering, time series, NLP).
• Build GenAI and Agentic AI prototypes and production-grade components, leveraging LLMs, RAG, vector search, and agent orchestration (e.g., Databricks Agent Bricks).
  Understand and navigate the transition from rule-based analytical systems classical ML- LLM/GenAI architectures, including their implications for data, context, governance, and reliability.
• Conduct feature engineering and modelling using PySpark, MLflow, and Databricks workflows.

Data Exploration & Insights

• Explore IoT, operational, service, sales, and financial datasets to generate actionable insights.
• Collaborate with analysts to refine metrics, KPIs, and Power BI dashboards.
• Collaboration & Platform Thinking
• Work closely with Data Engineers to prepare reliable Silver/Gold datasets for ML and AI workloads.
• Align models and AI components with the CDP Nexus semantic model and shared data structures.
• Contribute to reusable ML/AI artifacts, shared features, and platform components.

Model Productionisation & DataOps Collaboration

• Deploy and maintain models in production using Databricks pipelines, Delta tables, Unity Catalog, and CI/CD flows.
• Collaborate with DataOps to ensure model reliability, testing, data quality, and monitoring.
• Document assumptions, modelling logic, and dependencies according to TKE standards.

AI / GenAI / Agentic AI Enablement

• Build and test LLM applications, agentic workflows, retrieval pipelines, embedding models, and vector stores.
• Contribute reusable AGI components for the AI Foundation and Programmatic AI stream.
• Help define guardrails for safe, contextual, and reliable AI.

Technical Skills

• 3–6+ years as a Data Scientist, ML Engineer, or similar.
• Strong expertise in Python (pandas, scikit-learn, PySpark, MLflow) and SQL.
• Hands-on experience with Databricks, Spark, MLflow, Delta, and preferably Databricks Agent Bricks.
• Solid understanding of data warehousing, dimensional modelling, star schemas, and classical BI/ETL patterns.
• Experience with Azure Data Lake, Data Factory, or similar cloud data pipelines.
• Familiarity with LLMs, vector databases, semantic search, and agent frameworks.
  Ability to work end-to-end across ingestion modelling- deployment (reflecting a full-stack DS mindset).

Analytical & Business Skills

• Ability to translate business challenges into ML/AI solutions with measurable impact.
• Experience with operational, IoT, field service, commercial, or industrial datasets is a plus.
• Strong problem-solving mindset; comfortable with ambiguous or rapidly evolving data.

Soft Skills

• Excellent communication and stakeholder interaction; able to explain complex concepts simply.
• Strong collaborator within a global, cross-functional team

• Health and Safety –Highest standards and a wide range of health promotion and healthcare activities
• Flexibility –We support, for example, through flexible yet regulated working hours and remote working options
• Collaboration & diversity –Collegiality is of huge importance – we treat everyone with respect and appreciation
• Development –Individual support to help you get started in your new job as well as training and education programs to help you develop professionally and personally
• Creative leeway –We offer an environment in which you can try out new solutions in a no-blame-culture
• Sustainability –We act with responsibility and environmental awareness
• Work environment –We have modern workplaces and IT equipment, subsidized lunchtime meals in the canteen, free parking and discounted public transport tickets

Please apply online in English, including your notice period and salary expectation.

Talent Acquisition

Alexandra Dreger

Permanent Engineering & urban mobility Information Technology Experienced professionals