Lead Data Scientist
1 week ago
About the Company
">Marsh McLennan is a global leader in risk, strategy, and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman. With annual revenue of $23 billion and more than 85,000 colleagues, we help build confidence to thrive through the power of perspective.
">About the Job
">We are looking for a talented individual to join our Analytics team as a Lead Data Scientist. This role requires a strong background in data science and experience working with insurance analytics. The ideal candidate will have a bachelor's degree in Computer Science, Statistics, or Mathematics, and 4-6 years of experience in data engineering and analytics.
">Responsibilities
">- Develop and maintain complex data models using SQL and NoSQL databases.
- Create data visualizations and reports using Qlik Sense and Tableau.
- Build predictive models using machine learning algorithms.
- Analyze large datasets to identify trends and patterns.
- Collaborate with cross-functional teams to develop business strategies.
Requirements
">- Bachelor's degree in Computer Science, Statistics, or Mathematics.
- 4-6 years of experience in data engineering and analytics.
- Strong programming skills in languages such as Python, R, and SQL.
- Experience with data visualization tools like Qlik Sense and Tableau.
- Familiarity with machine learning algorithms and deep learning techniques.
Salary Range
">The estimated salary for this role is $140,000 - $200,000 per year, based on experience.
">Benefits
">Marsh McLennan offers a comprehensive benefits package, including health insurance, 401(k) matching, and paid time off.
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