Director Data Science
加入 Sedgwick,你将成为真正有意义的事情的一部分。这是我们33,000名同事每天为世界各地面临意外的人做的事。我们邀请你与我们一起发展自己的职业生涯,体验我们的关心文化,享受工作和生活平衡。在这里,你能达到的目标是无限的。新闻周刊承认 Sedgwik 是美国最伟大的工作场所的国家顶级公司作为一个伟大的工作地点®财富最佳的工作场所在金融服务 & 保险首席数据科学家 Job 责任 · 领导设计和开发先进的统计学和机器学习模型,以改善索赔结果,运营效率和风险管理。· 作为复杂建模倡议的技术权威机构,包括欺诈检测,索赔严重性预测,诉讼风险建模和恢复优化。· 使用结构化和非结构化的索赔数据开发预测和规范模型,包括调整说明,医疗记录和政策文档。· 建筑师建模方法利用现代技术如梯度增强,深度学习,NLP,异常检测和概率建模等。·与 AI 工程团队合作,生产模型并将其集成到企业人工智能平台和运营系统中。·设计采用大型企业数据集的工程战略和建模管道。·建立模型开发,实验,验证和可复制性最佳做法。·领导因果推断,场景仿真和风险评分方法等先进分析技术。·构建和维护测量准确性,偏见,稳定性和商业影响的模型评估框架。·监控部署的模式,降解和变化的数据分布,并建议重新校准策略。· 提供技术指导给整个组织的数据科学家和分析师。· 辅导年轻团队成员学习统计方法,机器学习技术和分析严格性。· 将复杂的分析发现转化为业务领导人和运营团队的明确可操作见解。· 与索赔运营,金融,风险和 IT 利益相关者合作确定具有高影响力的分析机会。·评估外部数据来源和增强预测能力的第三方分析解决方案。·确保分析方法与企业管理层一致。
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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.
Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
Principal Data ScientistJob Responsibilities
- Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management.
- Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.
- Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.
- Architect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling.
- Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.
- Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets.
- Establish best practices for model development, experimentation, validation, and reproducibility.
- Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies.
- Build and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact.
- Monitor deployed models for drift, degradation, and changing data distributions, and recommend recalibration strategies.
- Provide technical guidance to data scientists and analysts across the organization.
- Mentor junior team members on statistical methods, machine learning techniques, and analytical rigor.
- Translate complex analytical findings into clear, actionable insights for business leaders and operational teams.
- Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.
- Evaluate external data sources and third-party analytical solutions that enhance predictive capabilities.
- Ensure analytical methodologies align with enterprise governance standards and regulatory expectations.
- Contribute to Sedgwick’s broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.
- Lead research and innovation initiatives that advance Sedgwick’s predictive analytics capabilities.
Qualifications
- Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline.
- 8–12+ years of experience in data science, statistical modeling, or advanced analytics roles.
- Deep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies.
- Strong programming skills in Python, R, or similar analytical languages.
- Extensive experience working with large, complex datasets in enterprise environments.
- Proven experience designing and implementing end-to-end modeling pipelines.
- Strong understanding of model validation, feature engineering, and performance evaluation techniques.
- Experience collaborating with engineering teams to deploy models into production systems.
- Familiarity with distributed data processing tools and modern data platforms preferred.
- Experience in insurance, claims management, healthcare, or financial services analytics preferred.
- Ability to communicate advanced analytical concepts to both technical and non-technical stakeholders.
- Demonstrated ability to lead complex analytical initiatives that drive measurable business value.
- Strong mentoring and technical leadership capabilities.
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Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If 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. You may be just the right candidate for this or other roles.
Originally posted on Himalayas