Are you a Data Scientist with a 'can do' attitude and enthusiasm that inspires others? About the Business About our Team Our Risk Business Analytics family contains over 100 data scientists in fast-paced environment. We are innovators, passionate about challenging the status quo, and improving outcomes. About the Role This position exists to conduct both data handling and analytics/statistical modeling for credit application (risk and fraud). Responsibilities Collecting, aggregating, matching, consolidating, and confirming data across business units, ensuring quality and accuracy.Identifying, researching, programming (Python and R), and analyzing data for accurate processing, focusing on designing solutions for assigned business areas.Recommending process and system improvements aligned with business goals, enhancing overall efficiency.Creating models and analytics for risk, fraud, and collections across sectors, both internally and for clients."Developing scoring models, conducting statistical analysis, and providing code for production scoring validation. Clearly summarizing, documenting, and communicating analytic work/results to internal and external clients, and stakeholders.Requirements Have Bachelor's degree in statistics, computer science, mathematics, actuarial science, engineering or other quantitative science.Experience in data manipulation, cleansing, relational databases, and statistical modeling.Have R or Python knowledgeHave intermediary English fluent in Portuguese. Spanish is nice to have.Be an adaptable learner with a collaborative approach and excellent communication skills, adept at explaining technical outcomes to diverse audiences.Learn more about the LexisNexis Risk team and how we work here#LI-AV1#LI-HybridAt 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: .Please read our Candidate Privacy Policy.
