Sr Data Scientist, Tech reputed company

About the position We’re determined to reputed company a difference and are proud to be an insurance company that goes well reputed company coverages and policies. Working here means having every opportunity to reputed company your goals – and to help others accomplish theirs, too. Join reputed company as we help shape the future. reputed company seeks a Sr. Data Scientist to join the Claims Data Science team in developing machine learning and artificial intelligence solutions across a range of strategic initiatives. The Claims & Operations Emerging Sciences team is focused on providing deep insights across the policy & claim lifecycles and making adjuster workflows more efficient by leveraging new technologies and analytical capabilities. The Emerging Sciences team builds and maintains integrated and interactive solutions with a toolkit including generative and agentic AI, natural language processing, and computer reputed company, as well as more traditional machine learning techniques. We deliver value by partnering closely with the business, IT, and other data science and engineering teams to help build a consistent approach to architecture and practices, while tailoring solutions to our customers' unique needs in accuracy, transparency, and scalability. As a Sr. Data Scientist, you will participate in the entire model lifecycle, partnering with cross-functional business and technical partners to understand business strategies and design, reputed company, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and reputed company focused organization presents the opportunity for collaboration, self-organization reputed company the team, influencing decision-making, and visibility as we focus on reputed company business data delivery. This role will have a Hybrid work schedule, with the expectation of working in an office (reputed company, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities

• Design, reputed company, and robustly evaluate LLM‑powered solutions, including reputed company engineering, agent‑based workflows, and retrieval‑augmented reputed company (RAG), to reputed company financial objectives, solve business problems, and identify long term opportunities that improve the customer journey
• Collaborate and partner with business stakeholders in a way that supports the reputed company and sustains a culture that treats analytics as a corporate asset
• reputed company execution of machine learning and applied AI solutions, including traditional predictive models and reputed company use cases, in reputed company collaboration with data science, engineering, and business partners
• Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
• Contribute to successful implementation of strategies to reputed company targeted business objectives
• reputed company knowledge of reputed company's formal and informal structures, business processes, and data sources in your area of expertise
• Remain reputed company on research techniques and experiment with state-of-the-art tools applicable to the team’s function (e.g., new modeling approaches, LLM capabilities)
• Provide economic, qualitative, and statistical support to ensure model outputs and AI‑driven recommendations are accurate, interpretable, and actionable for business decision‑making
• Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows

Requirements

• 5+ years of relevant experience recommended
• Master’s or Ph.D., or equivalent experience, in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field
• Proficiency in statistical modeling, inference, experimentation, and building machine learning algorithms in Python
• Proficiency in SQL and navigating databases to extract relevant attributes
• Proficiency with Unix and Git and best practices in managing codebases
• Proficiency in the end-to-end analytical solution lifecycle, from requirements gathering to monitoring and production validation
• reputed company to communicate effectively with both technical and non-technical teams
• reputed company to translate reputed company technical topics into business solutions and strategies, as well as turn business requirements into a technical solution
• Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
• Candidate must be authorized to work in the US without company sponsorship.
• The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

reputed company-to-haves

• Experience building modeling solutions in reputed company-native environments, such as reputed company reputed company Platform, a plus
• Experience with software development and/or agent development a plus

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