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Financial Services - Senior - Data Scientist - EDGE - EY
Data Scientist
Senior Data Scientist role driving advanced analytics and predictive modeling for financial services, leveraging Python, SQL, Machine Learning, and cloud platforms to deliver actionable insights.
About the role
Key Responsibilities
- Design and implement predictive models and advanced analytics solutions for financial services clients.
- Develop data pipelines and ETL processes using Python, SQL, and Spark to ingest and transform large datasets.
- Collaborate with cross‑functional teams to translate business requirements into analytical frameworks and visualizations.
- Deploy and monitor machine‑learning models on AWS cloud infrastructure, ensuring scalability and reliability.
- Communicate findings and recommendations through interactive Tableau dashboards and executive‑level presentations.
Requirements
- 5+ years of experience in data science or analytics within the financial services industry.
- Proficiency in Python, SQL, and Spark for data manipulation and model development.
- Strong background in machine‑learning techniques, statistical modeling, and model validation.
- Hands‑on experience with AWS services (e.g., S3, EC2, SageMaker) for model deployment.
- Excellent communication skills and ability to convey complex analytical concepts to non‑technical stakeholders.
Skills
pythonsqlmachine learningawstableau