Data Scientist

About The CompanyBy joining Sedgwick, you'll be part of a globally recognized organization dedicated to making a meaningful difference in people's lives. With a workforce of over 33,000 colleagues, Sedgwick is committed to providing exceptional service to individuals facing unexpected challenges. The company has been acknowledged for its outstanding workplace culture, being recognized as one of America's Greatest Workplaces by Newsweek, certified as a Great Place to Work®, and listed among Fortune's Best Workplaces in Financial Services & Insurance. Sedgwick fosters a caring environment that encourages professional growth, work-life balance, and a collaborative culture. The organization values diversity, innovation, and integrity, aiming to deliver solutions that create value for clients and positively impact communities worldwide.About The RoleThe Data Scientist role at Sedgwick is a critical position focused on developing and managing predictive modeling projects that provide strategic insights and competitive advantages. The primary purpose of this role is to lead the end-to-end lifecycle of data science initiatives, including building, deploying, and monitoring machine learning models. The Data Scientist will collaborate with senior data scientists, leadership, and stakeholders to identify opportunities, communicate findings, and make data-driven recommendations. This position requires a proactive mindset, strong analytical skills, and the ability to translate complex data into actionable insights. The role is remote, offering flexibility and the chance to work in a dynamic environment where innovation and collaboration are highly valued.QualificationsMinimum of one year of experience in predictive modeling, data science, and data analysisProficiency in Python or R programming languagesExperience with notebook environments such as Jupyter or RStudioKnowledge of common supervised and unsupervised machine learning techniquesStrong skills in data visualization tools and librariesExperience with data exploration, wrangling, and feature engineeringFamiliarity with developing and maintaining end-to-end ETL data pipelinesInsurance claims knowledge is preferred but not mandatoryExcellent communication skills to convey complex findings to stakeholdersResponsibilitiesExecute data science projects as assigned by senior data scientists, leadership, and stakeholdersBuild, prototype, and deploy machine learning models in sandbox and production environmentsGenerate reports to communicate key metrics and project outcomes to stakeholdersAssist in developing and maintaining end-to-end ETL data pipelinesExplore new internal data sources to enhance modeling and analysis effortsIdentify trends and insights within data to inform strategic decision-makingCommunicate modeling challenges, results, and recommendations effectively to non-technical stakeholdersBenefitsComprehensive medical, dental, and vision insurance plansRetirement savings options including 401(k) planPaid time off (PTO) and holiday leaveCareer development and promotional growth opportunitiesSupportive work environment that values diversity and inclusionFlexible remote work arrangementsEqual OpportunitySedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage candidates from all backgrounds to apply, regardless of race, gender, age, religion, sexual orientation, disability, or veteran status.