AI-Driven Data Scientist for Enterprise Automation

Yer; Netherlands; Remote; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Pension scheme

Relocation guidance

International growth

Job summary

Vanderlande seeks a Data Scientist to join the Maintenance Assistance team, translating operational challenges into reliable AI capabilities that deliver measurable customer value. You will design, develop and productionize AI solutions spanning data, ML and agentic AI in a multidisciplinary, international product team.

You will contribute to predictive maintenance, retrieval-augmented generation, and AI-powered decision support for process optimization in real-world environments.

Qualifications

• Bachelor’s or Master’s degree in computer science, artificial intelligence, data science or a related discipline, or equivalent professional experience.
• Strong Python, PySpark and software-engineering skills, including API development, automated testing, Git and maintainable application design; experience with libraries such as pandas, scikit-learn and TensorFlow.
• Knowledge and proven experience using Azure, particularly Azure Databricks, for machine-learning model development and MLOps.
• Knowledge and experience with MLOps, including end-to-end data and machine-learning pipelines.
• Hands-on experience building generative AI or agentic AI applications and developing modern AI systems such as RAG and agent-based systems.
• Experience with LLM APIs and platforms such as Azure OpenAI or equivalent services.
• Experience with orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, Pydantic, AutoGen or comparable technologies.
• Understanding of prompting, structured outputs, RAG, embeddings, and vector or hybrid search.
• Experience designing autonomous workflows, decision logic and safe tool execution, and evaluating AI-generated outputs.
• Familiarity with working according to CRISP-DM cycles.
• A strong communicator who can translate technical results and ideas for non-technical stakeholders.
• Comfort working in exploratory environments where problem definitions and data availability may evolve, and an ability to structure and validate new use cases.
• Experience collaborating with colleagues located in different parts of the world.
• A security-first mindset, with attention to privacy, authorization, prompt injection, data leakage and responsible AI.
• Fluency in English; Dutch is a plus.

Responsibilities

• Design models and develop algorithms that solve real-world problems, including agentic AI applications with multi-step reasoning, tool use, memory orchestration and human-in-the-loop controls.
• Contribute to advanced predictive maintenance solutions and evolve them into systems that support operational and maintenance decision-making.
• Analyze operational and asset data; develop and validate models; and translate analytical results into actionable insights and recommendations with domain experts and end users.
• Build reusable AI services and APIs that integrate with operational data, digital products and existing cloud services.
• Develop retrieval-augmented generation (RAG) and knowledge-grounding solutions using structured data, documents, events and knowledge graphs.
• Productize prototypes using sound software-engineering practices, automated testing, CI/CD and observability; support the integration, productization and deployment of models and AI solutions in production environments.
• Improve existing solutions and explore new use cases and asset types. Assess data availability and quality, define approaches, validate potential value and iterate hypotheses in uncertain or evolving problem spaces.
• Expand predictive capabilities across different systems and components.
• Explore developments in generative AI, machine learning, process mining and event knowledge graphs, turn promising research into practical capabilities, and apply relevant developments in data science and AI.

Skills

Python

PySpark

API development

Git

Pandas

scikit-learn

TensorFlow

Azure Databricks

MLOps

LLM APIs

LangChain

LangGraph

Semantic Kernel

Pydantic

AutoGen

RAG

prompting

CRISP-DM

Education

Bachelor’s or Master’s degree in CS/AI/Data Science

Tools

Azure Databricks

Job description

Vanderlande seeks a Data Scientist to join the Maintenance Assistance team, translating operational challenges into reliable AI capabilities that deliver measurable customer value. You will design, develop and productionize AI solutions spanning data, ML and agentic AI in a multidisciplinary, international product team.

You will contribute to predictive maintenance, retrieval-augmented generation, and AI-powered decision support for process optimization in real-world environments.