Data Scientist
5 days ago
We are seeking a highly skilled Senior Data Scientist to join our team as a key member of our data science department. Your primary responsibility will be to develop and deploy predictive models to enhance underwriting precision, risk evaluation, and pricing strategies.
Key Responsibilities:- Predictive Modeling: Create sophisticated predictive models to forecast claims, detect fraudulent activities, lead generation etc.
- Data Analysis: Examine extensive datasets on policyholders, claims and market trends to uncover patterns and insights.
- Algorithm Development: Develop algorithms for risk modeling, customer segmentation, loss forecasting and more.
- Fraud Detection: Create models to identify fraudulent activities and minimize fraudulent claims.
- Customer Insights: Build models to analyze customer behavior, preferences and lifetime value.
- Project Leadership: Spearhead data science projects from conceptualization to final implementation.
- Data Visualization: Create interactive dashboards to convey findings to stakeholders.
- Research & Development: Stay updated with industry trends, emerging technologies and best practices in data science.
- Experience with data visualization tools (e.g., Qliksense, Tableau, Power BI) and data processing platforms (e.g., Apache Airflow).
- Proficiency in programming languages such as Python, Pyspark, R or Scala.
- Experience with machine learning frameworks/platforms (e.g., Vertex AI, TensorFlow, PyTorch, scikit-learn) and statistical analysis.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and databases (e.g., SQL, NoSQL).
- Soft Skills: Exceptional analytical skills, excellent communication abilities and ability to translate technical information into business insights.
$120,000 - $150,000 per annum, depending on experience.
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