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Lead Data Scientist
<p>Join Sedgwick and be part of a meaningful mission, as we support individuals around the world facing unexpected challenges. Embrace the opportunity to advance your career within our supportive culture while enjoying a balanced work-life. With us, your potential is limitless!</p> <p>Acknowledged as one of America's Greatest Workplaces, Sedgwick has been certified as a Great Place to Work® and recognized by Fortune for our excellence in the financial services and insurance sector.</p> <p><b>Key Responsibilities:</b></p> <ul> <li>Lead the design and development of advanced statistical and machine learning models that enhance claims outcomes, operational efficiency, and risk management.</li> <li>Act as the go-to expert for complex modeling projects, including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.</li> <li>Create predictive and prescriptive models using diverse claims data, incorporating adjuster notes, medical records, and policy documentation.</li> <li>Utilize modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling to architect innovative modeling strategies.</li> <li>Collaborate with AI Engineering teams to effectively productionize models and seamlessly integrate them into our enterprise AI platforms and operational systems.</li> <li>Develop comprehensive feature engineering strategies and modeling pipelines utilizing large-scale enterprise datasets.</li> <li>Establish and promote best practices for model development, experimentation, validation, and reproducibility.</li> <li>Employ advanced analytical techniques, such as causal inference, scenario simulation, and risk scoring methodologies.</li> <li>Create and maintain robust model evaluation frameworks to assess accuracy, bias, stability, and business impact.</li> <li>Monitor deployed models for drift and performance degradation, recommending strategies for recalibration as needed.</li> <li>Provide technical mentorship to data scientists and analysts across the organization.</li> <li>Guide junior team members in statistical methods, machine learning techniques, and analytical rigor.</li> <li>Translate complex analytical findings into actionable insights for business leaders and operational teams.</li> <li>Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.</li> <li>Assess external data sources and third-party analytical solutions to enhance our predictive capabilities.</li> <li>Ensure that our analytical methodologies comply with enterprise governance standards and regulatory expectations.</li> <li>Contribute to Sedgwick's broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.</li> <li>Lead research and innovation initiatives to advance Sedgwick's predictive analytics capabilities.</li> </ul> <p><b>Qualifications:</b></p> <ul> <li>Master's or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.</li> <li>8-12+ years of experience in data science, statistical modeling, or advanced analytics roles.</li> <li>In-depth expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies.</li> <li>Proficient programming skills in Python, R, or similar analytical languages.</li> <li>Extensive experience handling large, complex datasets in enterprise settings.</li> <li>Demonstrated success in designing and implementing end-to-end modeling pipelines.</li> <li>Strong understanding of model validation, feature engineering, and performance evaluation techniques.</li> <li>Experience collaborating with engineering teams to deploy models into production environments.</li> <li>Familiarity with distributed data processing tools and modern data platforms is preferred.</li> <li>Experience in insurance, claims management, healthcare, or financial services analytics is a plus.</li> <li>Ability to clearly communicate advanced analytical concepts to both technical and non-technical stakeholders.</li> <li>Proven leadership in managing complex analytical initiatives that drive measurable business value.</li> <li>Strong mentoring and technical leadership capabilities.</li> </ul> <p>Sedgwick offers a diverse, equitable, and inclusive workplace. If you're excited about this role but don't meet every qualification, we encourage you to apply! You may be the right candidate for this position or other opportunities. Join us in leading the way in risk and claims administration, leveraging AI-enabled technology to set industry standards and provide exceptional solutions.</p>
