Director Data Science

Sedgwick Claims Management Services, Inc.

IA

JOB DETAILS
SKILLS
A/B Testing, Actuarial Skills, Analysis Skills, Budget Management, Claims Management, Communication Skills, Computer Programming, Computer Science, Continuous Improvement, Data Analysis, Data Management, Data Science, Data Sets, Economics, Finance, Financial Services, Forecasting, Healthcare, Insurance, Insurance Claims, International Operations, Leadership, Litigation, Machine Learning, Machine Tool, Maintain Compliance, Mathematics, Model Validation, Natural Language Processing (NLP), Operational Improvement, Operational Measurement, Operational Support, Performance Analysis, Performance Metrics, Performance Reviews, Predictive Modeling, Process Modeling, Process Validation, Production Systems, Python Programming/Scripting Language, Quantitative Analysis, R Programming Language, Regulatory Compliance, Regulatory Requirements, Risk, Risk Management, Risk Modeling, Statistical Modeling, Statistics, Strategic Planning, Subrogation, Supplier Relationship Management (SRM), Team Player, Thought Leadership, Training Data Sets, Unstructured Data, User Documentation, Validation Plan, Vendor/Supplier Relations
LOCATION
IA
POSTED
30+ days ago

By joining Sedgwick, youll be part of something truly meaningful. Its 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, theres no limit to what you can achieve.

Newsweek Recognizes Sedgwick as Americas Greatest Workplaces

  • National Top Companies
  • Certified as a Great Place to Work®
  • Fortune Best Workplaces in Financial Services & Insurance

Director Data Science

Job Responsibilities

  • Define and lead Sedgwicks enterprise data science strategy aligned to claims optimization, risk management, fraud detection, and client performance analytics.
  • Build and scale a high-performing team of data scientists, quantitative analysts, and ML practitioners supporting global operations.
  • Drive development of predictive and prescriptive models for claims severity, reserving, subrogation, litigation risk, recovery optimization, and fraud detection.
  • Oversee statistical modeling, machine learning, and advanced analytics initiatives from ideation through production deployment.
  • Partner with AI Engineering to transition research models into scalable, production-grade systems.
  • Establish modeling standards, validation protocols, and reproducibility requirements across the organization.
  • Lead experimentation frameworks including A/B testing, causal inference analysis, and performance measurement methodologies.
  • Ensure model explainability, transparency, and fairness for analytics that influence claim decisions or financial outcomes.
  • Collaborate with Claims Operations, Finance, Actuarial, and IT teams to identify high-value analytical opportunities.
  • Guide development of feature engineering strategies using structured and unstructured claims data.
  • Oversee creation of enterprise data assets, analytical datasets, and model-ready pipelines in partnership with data engineering.
  • Implement governance processes for model validation, drift monitoring, recalibration, and lifecycle management.
  • Provide thought leadership in advanced analytics including time-series forecasting, anomaly detection, NLP, and risk scoring.
  • Translate complex analytical findings into actionable business insights for senior leadership.
  • Develop KPI frameworks to measure operational improvements driven by analytics initiatives.
  • Ensure compliance with regulatory requirements and internal data governance standards.
  • Evaluate external data sources and analytics partnerships that enhance predictive capabilities.
  • Manage budgets, vendor relationships, and analytical tooling investments.
  • Present data-driven insights and modeling outcomes to executive leadership and client stakeholders.
  • Foster a culture of analytical rigor, innovation, and continuous improvement.

Qualifications

  • Masters or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
  • 10+ years of experience in data science, advanced analytics, or quantitative modeling.
  • 5+ years of leadership experience managing data science or analytics teams.
  • Deep expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong programming skills in Python, R, or similar analytical languages.
  • Experience deploying models into production environments in collaboration with engineering teams.
  • Strong understanding of feature engineering, model validation, and performance evaluation techniques.
  • Experience working with large, complex datasets in enterprise data environments.
  • Knowledge of data governance, regulatory compliance, and model risk management practices.
  • Experience in insurance, claims management, financial services, or healthcare analytics preferred.
  • Ability to communicate technical concepts and analytical insights to non-technical stakeholders.
  • Strong strategic thinking skills with the ability to align analytics initiatives to measurable business outcomes.
  • Demonstrated success delivering analytics solutions that drive operational efficiency and financial impact.

#LI-TS1 #remote

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If youre excited about this role but your experience doesnt 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. You may be just the right candidate for this or other roles.

About the Company

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Sedgwick Claims Management Services, Inc.

Sedgwick Claims Management Services, Inc., is a leading global provider of technology-enabled risk and benefits solutions. At Sedgwick, caring countsSM; the company takes care of people and organizations by delivering cost-effective claims, productivity, managed care, risk consulting and other services through the dedication and expertise of nearly 15,000 colleagues in some 275 offices located in the U.S., Canada, the U.K and Ireland. Sedgwick facilitates financial and personal health and helps customers and consumers navigate complexity by designing and implementing customized programs based on proven practices and advanced technology that exceed expectations. Sedgwick’s majority shareholder is KKR; Stone Point Capital LLC, La Caisse de dépôt et placement du Québec (CDPQ) and other management investors are minority shareholders.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Management Consulting Services
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Employee Referral Program, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, Military Leave
FOUNDED
1969
WEBSITE
https://www.sedgwick.com/Pages/default.aspx