
Data Science Expert
20 hours ago
Unlock business value from data with a Data Science role.
We seek an individual to work closely with our teams, analyzing investor and partner data. The successful candidate will build predictive models to drive growth.
Responsibilities
- Analyze investor behavior and distribution partner data to uncover trends and opportunities. Develop models for investor segmentation, churn prediction, and customer lifetime value estimation.
- Measure campaign effectiveness, optimize targeting strategies, and enhance personalization. Support the team with automation, early warning signals, and fraud detection models.
- Implement text mining and sentiment analysis on investor feedback, social media, and complaint data. Design dashboards and reports in collaboration with the MIS team to provide actionable insights.
- Ensure data accuracy, security, and compliance with regulatory requirements.
Requirements
- 6-8 years of experience in data science, analytics, or risk modeling.
- Excellent programming skills in Python, R, SAS (Enterprise Guide, E-Miner, VIYA).
- Databases: SQL Server, MongoDB.
- Visualization: R-Shiny, Power BI, Excel.
- Machine Learning & Statistical Techniques. Regression ( Linear, Logistic)
- Good understanding of investor behavior, digital customer journeys, and financial product analytics.
Benefits
- Opportunity to derive business value from data.
- Collaborative work environment.
- Professional development and growth opportunities.
Skills Required
- Data Analysis.
- Predictive Modeling.
- Machine Learning.
- SQL.
- Python.
- R.
- SAS.
- Excel.
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