Medior Data scientist / ML engineer opportunity

For a client active within aviation, we are looking for a medior Data Scientist / ML engineer to join an innovative team. As a part of the Data, OR & AI department, you'll work on cutting-edge projects that directly influence our operations, enhance customer satisfaction, and drive significant business value.

The role sits within the finance domain, having previous experience within banking, fintech or finance can be useful. 

The team: 

The Finance Data Analytics  team currently consists of multiple Data Scientists, who work closely with our contacts in the business. The team is part of a larger value chain embedded in their part of the organization, meaning you will also work closely together with other data teams that are specialized in areas like Data Engineering and Data Governance. The core focus of the team is improving decision making in financial processes. 

Important aspects of your job on a day-to-day basis will be to:  

• Work on prediction models, which are used in the clients Finance Department to solve business problems or optimise processes.
• Meet with stakeholders and subject matter experts to gain a better understanding of the underlying business problem and the requirements;  
• Perform exploratory data analysis to assess data quality and gain important insights; 
• Research and choose an appropriate set of potential models and loss functions that align with the problem and discuss validation strategies with your fellow data scientists; 
• Perform feature engineering, be creative and combine new sources with the traditional data warehouses or our vast data lakes to increase model performance; 
• Execute experiments while logging your model’s metrics, parameters and metadata to a model registry for easy sharing and reproducibility;  
• Put your model into production, and work together with engineers inside and outside of the team to ensure company-wide production standards are met; 

Your profile:

• 2+ years of industry experience working in a data science team 
• Familiar with software engineering principles and experience writing production-level Python code;  
• Solid theoretical understanding of various Machine Learning algorithms and hands-on experience applying them to real-world cases. You can explain why a certain model / loss function would fit a business problem and understand the implications of the output;
• Experience deploying models to production using related tools and concepts like scheduled (re)trainings, monitoring and logging; understanding of the MLOps process.
• Big bonus point for experience with GenAI/LLMs. Many new uses cases are coming up on this topic.
• Experience with Big Data related tools; 
• We are currently in the middle of a cloud migration from on-premise systems towards GCP, so experience with Cloud Development in general or GCP specifically is a plus.
• Experience with scrum / agile working is a plus.

Practical

• Hybrid working in the greater Amsterdam Area
• Strong preference for candidates available through payroll (Employed Contractor model via Huxley)
• 36-40 hours per week
• Start: ASAP, we are looking for candidates available this year

Please apply with your latest CV so we can get in touch!

The role is only open for candidates currently residing in the Netherlands