Data Scientist

Experteer Overview In this client-facing Data Scientist role, you help advance fraud-detection capabilities by applying and suggesting new tools to optimize models and policies on the Dynamic Decision Platform. You collaborate with cross-functional teams to scope and deliver analytics projects that reduce risk and inform client decisions. You will explore innovative techniques and present complex findings clearly to non-technical stakeholders. The role offers impact across industries by advancing analytical methods and risk insights in a global context. Compensation / Benefits * Use and optimize models and policies using ThreatMetrix data and other LexisNexis Risk Solutions products on the Dynamic Decision Platform * Scope, plan, and deliver customer-focused analytics projects including proofs of value and go-lives * Inspire and support research to improve team capabilities and tools * Explain complex patterns to non-technical audiences in clear presentations * Develop and maintain best practices to scale deliverables * Collaborate with Products, Engineering, Sales, and colleagues to share and improve practices and products * Stay ahead of industry trends and apply tools to customer problems across industries Tasks * Strong knowledge of SQL, Python, Excel and LUA * Quantitative analytics skills * Ability to learn new tools quickly * Excellent problem-solving and attention to detail * Experience presenting to external and executive audiences * Familiarity with BI tools and data visualization * Experience with Git and Jira for research projects * Client-facing experience in a fraud or risk analytics context * Knowledge of cybercrime domains across financial services, e-commerce, gaming, telecommunications Key requirements * Medical Inpatient and Outpatient Insurance * Life Assurance Policies * Modern Family Benefits * Long Service Award * Celebratory Allowance/Gifts * Flexible Benefits Plan

• practices to scale deliverables * Collaborate with Products, Engineering, Sales, and colleagues to share and improve practices and products * Stay ahead of industry trends and apply tools to customer problems across industries Tasks * Strong knowledge of SQL, Python, Excel and LUA * Quantitative analytics skills * Ability to learn new tools quickly * Excellent problem-solving and attention to detail * Experience presenting to external and executive audiences * Familiarity with BI tools and data visualization * Experience with Git and Jira for research projects * Client-facing experience in a fraud or risk analytics context * Knowledge of cybercrime domains across financial services, e-commerce, gaming, telecommunications Key requirements * Medical Inpatient and Outpatient Insurance * Life Assurance Policies * Modern Family Benefits * Long Service Award * Celebratory Allowance/Gifts * Flexible Benefits Plan