As a Data Scientist III, you will be responsible for model and attribute validation from development through post-implementation across Insurance Services. This includes the development and maintenance of attribute and score calculations, data filter rules, file transmission requirements, the creation of test plans and technical documentation. You will be responsible for understanding product purpose, drawing appropriate conclusions, and make recommendations for resolution to most issues discovered during the quality review process.

• Interfaces with modeling, technology, and product personnel to assure timely and accurate implementation and maintenance of all Insurance attributes and models.
• Assists in the development of automated solutions to routine validations in order to gain efficiencies in the validation process.
• Follows analytical and programming guidelines, standards, and best practices.
• Defines thorough test requirements and objectives.
• Conducts data manipulation, reporting, exploratory analysis, or AI/ML techniques in support of developing/supporting new products, and/or validating existing product performance.
• Ability to find solutions hidden in large data sets and the ability to work with stakeholders to improve business outcomes.
• Manages tasks independently, completes tasks efficiently, and embraces team collaboration for multiple concurrent projects. Able to present their work effort, results, and conclusions in a manner appropriate to the audience’s level of understanding and is willing and able to ask for help/work with others as necessary.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Engineering, Economics, Computer Science, or related field.
• Master’s Degree Preferred.
• 0-2 years experience with data analytics, modeling development/validation, quantitative reasoning, data science, or similar.
• Knowledge of and desire to learn analytical tools, platforms, and programming languages such as Python, PySpark, MySQL, AWS, Azure, and PowerBI.
• Experience manipulating and merging multiple large data sets in a distributed computing environment.
• Working knowledge of AI/ML methods a plus.
• Excellent oral and written communication skills, including the ability to describe statistical results to non-statistical audiences.
• Strong attention to detail with a desire to follow a task to completion.
• Team player, constructive, and considerate of others’ inputs with the ability to positively influence others, confident speaker even in difficult situations.
• Ability to multi-task and efficiently negotiate changing priorities and responsibilities.
• Basic understanding of modeling techniques and potential impacts of related assumptions and limitations.
• Ability to work Eastern Standard business hours

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form:
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, or please contact 1-855-833-5120.
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• Interfaces with modeling, technology, and product personnel to assure timely and accurate implementation and maintenance of all Insurance attributes and models.
• Assists in the development of automated solutions to routine validations in order to gain efficiencies in the validation process.
• Follows analytical and programming guidelines, standards, and best practices.
• Defines thorough test requirements and objectives.
• Conducts data manipulation, reporting, exploratory analysis, or AI/ML techniques in support of developing/supporting new products, and/or validating existing product performance.
• Ability to find solutions hidden in large data sets and the ability to work with stakeholders to improve business outcomes.
• Manages tasks independently, completes tasks efficiently, and embraces team collaboration for multiple concurrent projects. Able to present their work effort, results, and conclusions in a manner appropriate to the audience’s level of understanding and is willing and able to ask for help/work with others as necessary