GM Financial
Lead Data Scientist - General Motors Insurance
GM Financial, Fort Worth, Texas, United States, 76102
Overview
Lead Data Scientist - General Motors Insurance role at GM Financial. This is a unique opportunity to join at the foundational stage of a start-up building an Insurtech business that will reinvent auto insurance. Why General Motors Insurance?
At General Motors Insurance, we are building an Insurtech business that will reinvent auto insurance. We are fully owned and backed by auto industry leaders General Motors and GM Financial. This is a truly unique opportunity to join at the foundational stage of a start-up leading the transformation of the auto insurance experience. Position details
Position open until filled. Responsibilities
The Data Scientist Lead for GMIC Underwriting will be responsible for implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in auto insurance pricing and underwriting. This person will be considered a subject matter expert with an in-depth knowledge of quantitative methods and diligent knowledge of data sources and tools. The Lead Data Scientist will be deeply involved in conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced techniques and algorithms and lead in the production of research and analysis to quantify the impact of internal and external environments on insurance pricing and underwriting. Provides leadership, coaching, and/or mentoring to data science team Performs research, analysis, and modeling on organizational data Assists in analyzing key metrics and performing data analysis Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions Presents findings and analysis for use in decision making Ensures that the delivered products meet the business needs of the company Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership Prioritizes tasks and meets project deadlines in a fast-paced work environment Qualifications
Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics Ability to identify and understand business issues and map these issues into quantitative questions Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques Maintained advanced skills in some combination of SQL, Python, R, Spark, and other common data science software languages Strong knowledge of engineering practices that pertain to data science, such as version control, CI/CD, model deployment, and model monitoring Ability to design and implement model documentation and monitoring protocols Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques Efficiently work with large datasets Deep understanding of the various aspects of insurance marketing operations, with preferred experience building models such as for bind, retention, and life-time value Takes an ownership mentality to the business and always pushes for continuous improvement with a relentless commitment to our customers Provides leadership, coaching, and/or mentoring to Data Scientists I and II Ability to be curious in all aspects of the business and your role and continuously learn Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems Ability to identify and seek needed information/research skills Analytical thinking and strong problem solving skills Ability to interact collaboratively with internal and external customers Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment Experience And Education
5-7 years of experience in related field or function required Experience leading through mentorship in related field preferred Experience leading projects and initiatives through influence preferred Auto insurance pricing and underwriting preferred Master’s Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required What We Offer
Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. Our Culture
Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Compensation
Competitive salary and bonus eligibility. Work Life Balance
Remote work environment. The base salary range for this role is: USD $115,000 to $213,000. At GM Financial, we strive for equity in all aspects of our business, including pay equity. This is the GM Financial pay range for this job and role level. The exact salary and compensation will very based on factors like knowledge, skills, experience and education. This role is eligible to participate in performance-based incentive plans. Full-time employees are eligible to participate in health benefits on day one of employment. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Referrals increase your chances of interviewing at GM Financial by 2x Get notified about new Lead Data Scientist jobs in
Fort Worth, TX .
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Lead Data Scientist - General Motors Insurance role at GM Financial. This is a unique opportunity to join at the foundational stage of a start-up building an Insurtech business that will reinvent auto insurance. Why General Motors Insurance?
At General Motors Insurance, we are building an Insurtech business that will reinvent auto insurance. We are fully owned and backed by auto industry leaders General Motors and GM Financial. This is a truly unique opportunity to join at the foundational stage of a start-up leading the transformation of the auto insurance experience. Position details
Position open until filled. Responsibilities
The Data Scientist Lead for GMIC Underwriting will be responsible for implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in auto insurance pricing and underwriting. This person will be considered a subject matter expert with an in-depth knowledge of quantitative methods and diligent knowledge of data sources and tools. The Lead Data Scientist will be deeply involved in conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced techniques and algorithms and lead in the production of research and analysis to quantify the impact of internal and external environments on insurance pricing and underwriting. Provides leadership, coaching, and/or mentoring to data science team Performs research, analysis, and modeling on organizational data Assists in analyzing key metrics and performing data analysis Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions Presents findings and analysis for use in decision making Ensures that the delivered products meet the business needs of the company Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership Prioritizes tasks and meets project deadlines in a fast-paced work environment Qualifications
Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics Ability to identify and understand business issues and map these issues into quantitative questions Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques Maintained advanced skills in some combination of SQL, Python, R, Spark, and other common data science software languages Strong knowledge of engineering practices that pertain to data science, such as version control, CI/CD, model deployment, and model monitoring Ability to design and implement model documentation and monitoring protocols Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques Efficiently work with large datasets Deep understanding of the various aspects of insurance marketing operations, with preferred experience building models such as for bind, retention, and life-time value Takes an ownership mentality to the business and always pushes for continuous improvement with a relentless commitment to our customers Provides leadership, coaching, and/or mentoring to Data Scientists I and II Ability to be curious in all aspects of the business and your role and continuously learn Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems Ability to identify and seek needed information/research skills Analytical thinking and strong problem solving skills Ability to interact collaboratively with internal and external customers Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment Experience And Education
5-7 years of experience in related field or function required Experience leading through mentorship in related field preferred Experience leading projects and initiatives through influence preferred Auto insurance pricing and underwriting preferred Master’s Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required What We Offer
Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. Our Culture
Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Compensation
Competitive salary and bonus eligibility. Work Life Balance
Remote work environment. The base salary range for this role is: USD $115,000 to $213,000. At GM Financial, we strive for equity in all aspects of our business, including pay equity. This is the GM Financial pay range for this job and role level. The exact salary and compensation will very based on factors like knowledge, skills, experience and education. This role is eligible to participate in performance-based incentive plans. Full-time employees are eligible to participate in health benefits on day one of employment. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Referrals increase your chances of interviewing at GM Financial by 2x Get notified about new Lead Data Scientist jobs in
Fort Worth, TX .
#J-18808-Ljbffr