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Senior Data Scientist III
3 months ago
Do you love collaborating with teams to solve complex problems and deliver solutions?
Would you like to partner with the biggest names in the insurance industry?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below.
About our Team
The Property Analytics team is dedicated to harnessing the power of data and sophisticated analysis to assess risks and enhance decision making for insurance carriers. At LexisNexis Risk Solutions, we pride ourselves on employing advanced statistical models and predictive algorithms to provide valuable insights that enable insurance providers to make informed decisions.
About the Role
A Senior Data Scientist III should be able to define scope of a project and execute that project independently. Individuals in this role are expected to support the development and training of junior staff. They develop best practices and are the project leaders.
You will be responsible for:
- Researching and developing statistical/machine learning models to analyze structured and unstructured data.
- Exploring and mining new data sources to help optimize and validate existing models.
- Ideating, researching, and designing new and innovative analytics and data science methodologies on large scale and complex data assets.
- Having a thorough understanding of the team's core functions and technologies.
- Staying current on emerging knowledge and technologies that impact the team's success and performance.
- Working with peers to share subject matter expertise, transfer skills, and develop knowledge base.
- Developing and utilizing innovative strategies to complete business analysis and evaluate the performance of business segments.
- Performing all other duties as assigned.
- Have Master's degree in Actuarial Science, Statistics, or Data Science with a strong GPA. Or Doctor's degree in Biology or Life Science with work experience in data analytics and statistical modeling.
- Have experience in statistical modeling and preferably related to credit or insurance industry, life underwriting, or healthcare research. Hands on experience with EHR or medical billing data and medical coding system is a plus.
- Have excellent knowledge of machine learning models, especially NLP or LLM, is a plus.
- Have ability to build or test new processes and lead others to do so.
- Have ability to scope and build best-practices around the usage of Data Science frameworks.
- Have extensive verbal and written communications skills and are comfortable presenting and explaining results to business stakeholders.
- Have expertise in standard coding language (e.g. Python, PySpark, R, and SQL.)
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