Data Modeller Scientist | Statistical Model Developer

Keyrus is looking for a Data Science Modeller to develop robust, scalable models and transform them into production-ready solutions that support research, development, and business decision-making. This role combines deep statistical expertise with strong engineering capabilities and a passion for delivering high-impact data science solutions.

Requirements

• Translate complex scientific or business problems into well-scoped modelling objectives and technical requirements in partnership with domain experts.
• Develop end-to-end modelling pipelines, from data wrangling and preprocessing to model training, validation, and deployment.
• Design and implement machine learning and statistical models—supervised, unsupervised, and semi-supervised—with a focus on transparency, robustness, and interpretability.
• Deploy models into production environments using APIs, dashboards, web applications, or integrated components.
• Validate models rigorously via cross-validation, sensitivity testing, and stress testing to ensure reliability.
• Create comprehensive model documentation, including methodologies, assumptions, validation results, and user guidance.
• Implement monitoring frameworks to track model performance, detect data drift, and trigger retraining workflows.
• Apply MLOps and DevOps principles to automate deployment, versioning, and testing pipelines.
• Utilise generative AI and large language models (LLMs) to enhance automation, documentation, or modelling capabilities.
• Contribute to innovation initiatives and business transformation projects as a subject matter expert in modelling and AI.

Benefits

• Competitive salary based on your skills & experience and according to the Data market practice
• Meal allowance of €8.32 per day
• Flexible benefits option
• Private Medical Insurance
• 22 days of annual leave (increasing every 3 years up to a maximum of 25 days)
• Training Program through KLX (Keyrus Learning Experience) Platform