ENGINEERINGUK
Sr. Data Scientist III (HYBRID)
ENGINEERINGUK, Alpharetta, Georgia, United States, 30239
Employer: LexisNexis Risk SolutionsLocation: Alpharetta, Georgia, United States of AmericaSalary: CompetitiveClosing date: 26 Oct 2024Senior Data Scientist III
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.About the role
We are looking for a Sr. Data Scientist III to join the Insurance Analytics team with strong expertise in statistics/modeling and machine learning. You will play a key role in new product innovation, model development, and generating actionable insights, while working closely with the Vertical and Product teams to design and implement new solutions supporting the insurance market. A Senior Data Scientist III should be able to define the scope of a project and execute that project independently. Individuals in this role are expected to support the development and training of junior staff and develop best practices as project leaders.You will be responsible for:
Researching and developing new statistical/machine learning models to analyze structured and unstructured data.Exploring and mining new data sources to help optimize and validate existing models.Leading the design and development of data-driven solutions and the development of machine learning/statistical models.Ideating, researching, and designing innovative analytics and data science methodologies.Having a thorough understanding of the team's core functions and technologies.Working with peers to share subject matter expertise and develop knowledge base.Developing and utilizing innovative strategies for business analysis.Reviewing data results and communicating findings to stakeholders.Enforcing data quality testing best practices.Performing all other duties as assigned.Qualifications
Graduate degree (Masters or PhD) in Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Quantitative field. Actuarial experience or designation is a plus.Experience in statistical modeling, preferably related to the credit or insurance industry.5+ years of hands-on statistical model development/machine learning (ML) experience.Solid understanding of ML techniques and statistical methods.Expert programming skills in Python and/or R.Experience with R shiny dashboards.Proven ability as a self-starter to learn new technologies and share cross-functional knowledge.Solid verbal and written communication skills.Experience in data management and analysis in on-premise and cloud database management systems.Excellent attention to detail, organization, and documentation skills.Learn more about the LexisNexis Risk team and how we work here.#LI-CS1#LI-Hybrid
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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.About the role
We are looking for a Sr. Data Scientist III to join the Insurance Analytics team with strong expertise in statistics/modeling and machine learning. You will play a key role in new product innovation, model development, and generating actionable insights, while working closely with the Vertical and Product teams to design and implement new solutions supporting the insurance market. A Senior Data Scientist III should be able to define the scope of a project and execute that project independently. Individuals in this role are expected to support the development and training of junior staff and develop best practices as project leaders.You will be responsible for:
Researching and developing new statistical/machine learning models to analyze structured and unstructured data.Exploring and mining new data sources to help optimize and validate existing models.Leading the design and development of data-driven solutions and the development of machine learning/statistical models.Ideating, researching, and designing innovative analytics and data science methodologies.Having a thorough understanding of the team's core functions and technologies.Working with peers to share subject matter expertise and develop knowledge base.Developing and utilizing innovative strategies for business analysis.Reviewing data results and communicating findings to stakeholders.Enforcing data quality testing best practices.Performing all other duties as assigned.Qualifications
Graduate degree (Masters or PhD) in Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Quantitative field. Actuarial experience or designation is a plus.Experience in statistical modeling, preferably related to the credit or insurance industry.5+ years of hands-on statistical model development/machine learning (ML) experience.Solid understanding of ML techniques and statistical methods.Expert programming skills in Python and/or R.Experience with R shiny dashboards.Proven ability as a self-starter to learn new technologies and share cross-functional knowledge.Solid verbal and written communication skills.Experience in data management and analysis in on-premise and cloud database management systems.Excellent attention to detail, organization, and documentation skills.Learn more about the LexisNexis Risk team and how we work here.#LI-CS1#LI-Hybrid
#J-18808-Ljbffr