Data Scientist

• Analyzing available data and identifying new insights
  
• Developing machine learning models and predictive analytics
  
• Conducting exploratory research and reports
  
• Designing, developing, and deploying generative AI solutions
  
• Setting up and deploying agentic AI solutions
  
• Working with Large Language Models (LLMs), including local hosting
  
• Developing production -ready data science solutions
  
• Collaboration within multidisciplinary Scrum teams
  
• Translating customer questions into data solutions with demonstrable business value
  
• Initiating innovative applications in the field of data science and AI
  
• Sparring with colleagues within the Data Science department and the Advanced Analytics team
  
• Contributing to data -driven decision -making
  

Requirements

• Completed higher professional education in the field of mathematics, statistics/econometrics, physics, artificial intelligence, computer science or similar
  
• At least 3 years of work experience in the past 5 years with machine learning techniques such as regression, classification, clustering, dimensionality reduction, ensemble methods, reinforcement learning and time series analysis models (including ARIMA)
  
• Minimum of 1 year of work experience in the last 3 years with generative AI, local hosting of LLMs and agentic solutions
  
• At least 3 years of work experience in Python
  
• Experience with libraries such as statsmodels, sklearn, optuna and mlflow
  
• At least 3 years of work experience with version control, package management and coding best practices
  
• Experience with Git, Anaconda, containerized working, unit tests, integration tests and Docker
  
• Fluent command of the Dutch language
  

• At least 2 years of experience as a Data Scientist on the Azure platform
  
• Experience with Azure Machine Learning and Azure WebApps
  
• Experience with glass box algorithms and statistical models
  
• Experience with acquisition, customer needs analysis and project acquisition
  
• Experience with deploying software within Docker containers
  
• Experience with ML architecture issues and production pipelines
  
• Experience with LLM and agent architecture issues
  
• Experience in realizing proof -of -concepts to production environments
  

• Analytically strong
  
• Result -oriented
  
• Flexible
  
• Proactive
  
• Communicative skills
  
• Customer -oriented
  
• Creative
  
• Innovative
  
• Collaborative
  
• Problem -solving skills
  
• Environmentally -aware
  
• Independent
  
• Able to translate complex issues into practical solutions
  
• Strong in finding out the question behind the question