Medior Data Scientist
Role details
Job location
Tech stack
Job description
Join a skilled data science team and make a direct impact on the automatic loan approval process. Work with cutting-edge transaction classification models, collaborate closely with engineers and business stakeholders, and help shape the customer experience in Consumer Lending. This temporary role offers hybrid working, a highly motivated team, and hands-on experience in a challenging financial environment., As a Medior Data Scientist in the team, you will focus on improving and extending transaction classification models to optimize the loan approval process. You will also monitor model performance and collaborate across engineering, analytics, and business teams. The role is organized around weekly Kanban sessions to align priorities and tasks., * Develop, test, and monitor machine learning models for transaction classification and loan approval.
- Collaborate with engineers, analysts, and business stakeholders to ensure accurate and scalable solutions.
- Apply software engineering best practices, including test-driven development and version control.
- Support hybrid working model with 2 days per week in the office.
Tech Stack & Tools: Python, SQL, Spark, MLflow, Airflow, Docker, Azure DevOps, Elastic, Grafana, REST APIs
Requirements
Do you have experience in Spark?, Do you have a Master's degree?, * Master's degree in Data Science, Computer Science, Econometrics, or a related field
- Experience with Python (pandas/polars), Spark, SQL, OOP, and model development & monitoring
- Strong analytical skills, detail-oriented, and able to communicate complex analyses clearly
- Excellent stakeholder management skills
- Proficient in Dutch
Nice to have:
- Experience with CI/CD, Docker, GCP, or transactional/customer-level data
- Knowledge of Consumer Lending or credit processes
- Strong software engineering skills