Role Overview
The role involves working with data quality and contributing to the development of Data Governance in Lån & Spar Bank. The Data Scientist will use analytical and technical skills to measure and improve data quality, identify errors and discrepancies, investigate causes, and develop controls that prevent and detect problems.
What You Will Do
The tasks will include analysis, development of data quality metrics, reporting, and coordinating workshops and initiatives across the bank. The Data Scientist will also have a coordinating role in planning and coordinating the work of the Data Governance team with colleagues.
Why It Might Be a Fit
The ideal candidate has a strong interest in using modern analysis and development tools such as Python, and applying AI in analysis work. They should have a clear interest in modern analysis and development tools and a desire to continuously develop their methods.
Requirements
- Good foundation in programming, statistics, and data analysis
- Experience with Python or R
- Familiarity with SAS is a plus, but not a requirement
- Experience with Power BI or similar tools for reporting and visualization
- Interest in using AI tools like OpenCode in analysis and coding work
- Analytical background in data science, statistics, data science, or mathematics
- Experience from the bank, pension, insurance, or other regulated sectors is a plus, but experience from other industries can also be relevant
Benefits
- Comprehensive data warehouse
- Opportunity to influence methods
- Daily life where analysis is translated into concrete improvements
To apply for this job please visit linkedin.com.
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