Brainbox Consulting BV aligning great talent with clients’ needs is at the core of who we are. We are passionate about our consultants, our clients, and our Partners. Our rich IT legacy combined with our unyielding care for our people and business is the driving force behind all we do, and we deliver! On this journey, we are looking for Data Scientist who is also interested to take on a wide range of activities.

Your role
As a Data Scientist, you develop and operationalize forecasting models that support planning and decisionmaking. You work with modern cloudnative tooling and contribute to the landscape of our evolving forecasting and ML infrastructure.

You will be responsible for:
• Developing, productionizing and supporting machinelearning models and data pipelines for forecasting.
• Implementing monitoring and observability to ensure model reliability and performance.
• Collaborating closely with ML engineers, architects and business stakeholders to deliver effective solutions.
• Exploring new technologies and methods to improve forecasting processes and infrastructure.
• Aligning technical decisions with product strategy in close cooperation with the product owner.

You’ll work with technologies such as Azure and Databricks in a dynamic environment where innovation is essential.

What you bring
You are analytical, communicative and able to translate complex business needs into datadriven solutions. You thrive in a collaborative environment and enjoy working on challenges that require both technical depth and strategic thinking.

You have:
• At least 5 years of relevant experience in machine learning.
• Strong programming skills in Python.
• Experience with MLOps, cloud computing and cloud platforms (preferably Azure).
• Handson experience with Databricks and running models in production.
• An analytical mindset and the ability to distinguish between main and secondary issues.
• Experience with containerized application deployment.
• Excellent communication skills; English proficiency is required.
• Bonus: experience with MLflow, PySpark or Streamlit.