Junior Data Scientist - Fraud & AML Monitoring
Kildean, United Kingdom
GBP 48K-50K (estimate) Entry-level Full Time
Tasks
- Assess data quality and ingestion accuracy
- Automate risk isolation using data connections
- Build ETL pipelines
- Conduct logical physical data modeling
- Design and build fraud and AML monitoring solutions
- Develop scalable, repeatable solutions
- Investigate suspicious transactions using data
- Mine and engineer large datasets for usability
- Perform data integration and data modeling
- Serve as Azure Databricks expert
- Serve as Power BI expert
- Translate business problems into analytical solutions
Perks/Benefits
- Annual leave
- Critical illness cover
- Flexible working arrangements
- Life assurance
- Paid parental leave
- Pension scheme
- Private healthcare
- Share incentive plan
- Share-save plan
- Workplace adjustments
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Data Factory | Data Modelling | ETL | Logical Data Modelling | Physical Data | Physical Data Modelling | Power BI | Python | SQL | Spark | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Language: en
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