{"id":164007,"url":"https://alion.io/job/sedgwick-principal-data-scientist","title":"Principal Data Scientist","company":{"id":5707,"name":"Sedgwick","domain":"sedgwick.com","url":"https://alion.io/company/sedgwick","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":48,"ghost_share":0,"stale_share":0.708,"repost_share":0.063,"time_to_fill_p50_days":20,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":180000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":98},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-04-30T00:00:00Z","employer_posted_date":"2026-04-30","last_verified_at":"2026-10-17T15:07:50Z","board_verified":true,"closed_at":null,"days_open":170,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":170},"description":"By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.\nNewsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies\nCertified as a Great Place to Work®\nFortune Best Workplaces in Financial Services & Insurance\nPrincipal Data ScientistJob Responsibilities\nLead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management.\nServe as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.\nDevelop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.\nArchitect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling.\nPartner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.\nDesign feature engineering strategies and modeling pipelines using large-scale enterprise datasets.\nEstablish best practices for model development, experimentation, validation, and reproducibility.\nLead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies.\nBuild and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact.\nMonitor deployed models for drift, degradation, and changing data distributions, and recommend recalibration strategies.\nProvide technical guidance to data scientists and analysts across the organization.\nMentor junior team members on statistical methods, machine learning techniques, and analytical rigor.\nTranslate complex analytical findings into clear, actionable insights for business leaders and operational teams.\nCollaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.\nEvaluate external data sources and third-party analytical solutions that enhance predictive capabilities.\nEnsure analytical methodologies align with enterprise governance standards and regulatory expectations.\nContribute to Sedgwick’s broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.\nLead research and innovation initiatives that advance Sedgwick’s predictive analytics capabilities.\nQualifications\nMaster’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline.\n8-12+ years of experience in data science, statistical modeling, or advanced analytics roles.\nDeep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies.\nStrong programming skills in Python, R, or similar analytical languages.\nExtensive experience working with large, complex datasets in enterprise environments.\nProven experience designing and implementing end-to-end modeling pipelines.\nStrong understanding of model validation, feature engineering, and performance evaluation techniques.\nExperience collaborating with engineering teams to deploy models into production systems.\nFamiliarity with distributed data processing tools and modern data platforms preferred.\nExperience in insurance, claims management, healthcare, or financial services analytics preferred.\nAbility to communicate advanced analytical concepts to both technical and non-technical stakeholders.\nDemonstrated ability to lead complex analytical initiatives that drive measurable business value.\nStrong mentoring and technical leadership capabilities.\n#LI-TS1 #remote\nSedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.\nIf you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. 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