Data Scientist
Core
Development, maintenance, and optimization of data models, data processing pipelines, and Python tools for data transformations; creation and automation of reports, ad-hoc analyses, and internal dashboards for client reporting.
Role type
Data Scientist (Data Engineering & Analysis focus)
Builds
Data models, data processing pipelines, Python applications, automated reports, and dashboards
Domain
Financial services (Insurance, Asset Management, Capital Markets)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (ETL, data analysis, application development), SQL (Views, Functions, Stored Procedures), SSIS, database management, analytical thinking
Preferred skills
Data Science degree, experience in the financial sector (banks, insurance companies, securities firms), knowledge of AI
Technologies
Python, SQL, Visual Studio SSIS
Responsibilities
Develop and optimize data models and data processing processes; Build and automate reports and ad-hoc analyses; Maintain and develop existing Python tools and applications; Manage and extend databases
Seniority
Mid-level to Senior (requires degree or equivalent practical experience)