Data Science Expert for Financial Services
1 day ago
Company Overview
Sutherland Global Services is a leading investment and financial advisory firm, specializing in Artificial Intelligence, Automation, Cloud engineering, and Advanced analytics. We work across various industries, including Healthcare, Insurance, Banking & Financial Services, Communications, Technology, and more.
About the Role
We are seeking an experienced Data Science Expert to lead and execute end-to-end data projects with big data, unstructured, and structured datasets in high-impact financial services and research environments. The ideal candidate should have exposure and awareness of data engineering concepts, collaboration skills, and experience in team leadership and delivering diagnostic, predictive, and prescriptive insights and data solutions.
Key Responsibilities
- Lead and execute data projects with big data, unstructured, and structured datasets
- Collaborate cross-functionally with data engineers, product managers, internal and external stakeholders
- Deliver diagnostic, predictive, and prescriptive insights and data solutions
- Drive significant KPI improvements and competitive differentiation for stakeholders
Requirements
- 3-6 years of experience in data science or related field
- Expertise in data normalization, pre-processing, and cleaning
- Knowledge of NLP and Unstructured Data Processing
- Experience with Feature Engineering, Entity Resolution, Clustering, and Classification
- Proficiency in programming languages such as Python, R, Java, and Scala
Compensation Package
The estimated salary range for this position is between $120,000 - $180,000 per year, depending on location and experience. Sutherland Global Services offers a comprehensive benefits package, including health insurance, retirement plans, and paid time off.
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