(Senior) Data Scientist — Credit Risk & Collateral Analytics (Confidential client) Candidate deadline: 5 October.

A client within the financial services sector is on the lookout for a Senior Data Scientist to support their collateral management team. The role combines cloud migration of data pipelines and models from AWS to Azure with statistical modeling and machine learning development for credit risk and collateral management.

What you'll do:

• Migrate existing analytical models and data pipelines from AWS to Azure using Databricks, PySpark, Python, and SQL
• Develop and refine statistical and machine learning models for collateral and credit risk management
• Run data extractions and ad-hoc analyses based on business needs

Requirements:

• Practical experience working with both AWS and Azure environments
• Strong hands-on experience with Python, SQL, and PySpark
• Experience with Databricks
• Solid background in statistical modeling and machine learning
• Previous experience in the financial services or insurance domain is a plus

Start: ASAP

Duration: Long-term / ongoing Location: Helsinki, 3 days/week at the office Language: Finnish

Interested? Please contact Eeva Keinänen via Slack Eeva_witted or email eeva.keinanen@witted.com