Job Description A client of Insight Global is looking for a Data Analytics Consultant to join their team. This is a remote contract opportunity with the potential to go full time. They are looking for someone with a strong quantitative analysis background and hands on experience in risk or claims analysis. The ideal candidate will have claim scoring experience in some capacity (insurance, medical, manufacturing, etc.) They will be leveraging a claims scoring system that they have developed and working on statistical models on claims, regression analysis, normalizing data, etc. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5-7 years of experience in Quantitative Data analytics.  • Ability to identify variables, isolate KPIs, run regression analyses, and determine correlation/causation.  • Must be able to build, validate, and evolve a scoring algorithm (specifically claim scoring and broader risk scoring). Deep understanding of math, statistics, and modeling  • Understanding statistical frameworks for claim evaluation. Building reliability into scoring models. Python