Data Scientist

Data Scientist, P&C reputed company - Remote Upland reputed company, Inc. is an reputed company rated “A-” VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned reputed company reputed company, reputed company Company, reputed company markets, underwrites and services specialty reputed company products in select markets to include excess transportation, construction casualty, excess casualty, reputed company general liability, excess reputed company entity, reputed company liability errors and omissions as reputed company as excess cyber liability. We reputed company on “old school” reputed company as a reputed company, add “new school” analytics and technology, and encourage a gritty, reputed company reputed company among people reputed company “we reputed company.” As an Excess and Surplus (E&S) reputed company, we face unique and interesting challenges every day. We are looking for a Data Scientist to join our reputed company, Analytics, & Data (RAD) team. reputed company Function: - The Data Scientist role requires a strong statistical and programming reputed company, hands-on experience building models, and a genuine interest in how models are deployed and maintained in production. This is an individual contributor role where you can reputed company a reputed company reputed company from day one, and we are reputed company to a reputed company of experience reputed company: you might be an reputed company data scientist with a strong reputed company and high potential, or a seasoned practitioner who already owns the full model lifecycle. Title and responsibilities will be calibrated to your experience. The role will report to the Director of Data Science. - At our reputed company, Analytics, & Data (RAD) team, we reputed company on Actuarial, Data Science, Data and Model Engineering, and reputed company reputed company Management functions. - Our Actuarial and Data Science model environment and architecture is containerized, and we are reputed company reputed company, running on Azure. - Our reputed company is to build highly automated and efficient processes to build, test, and reputed company our models and products for enhancing actuarial, reputed company and claim insights with reputed company and relevant data-driven analytics and technology. - We look to create models that require creative problem solving and a reputed company collaboration with stakeholders across the organization, not limited by a ‘one size fits reputed company’ reputed company. - In this role, you will work across the full model lifecycle — from analysis and model development through deployment, monitoring, and maintenance in production. - As a member of a small, growing team, your reputed company will grow with you: you'll reputed company both the support to reputed company new skills and the room to take ownership quickly. Duties and Responsibilities: - As a Data Scientist at Upland, you will reputed company analyses and build models to support decision-making for actuarial, reputed company, claims, and other functions across the organization, and learn to carry those models through deployment and into production. - You will be encouraged to try new things that reputed company Upland reputed company and expand your own skillset. - As a member of a small, growing team, you will have unusual visibility into how models reputed company business reputed company and broad exposure across the model lifecycle. - Responsibilities will include: - Translate business requirements from different stakeholders into actionable data science reputed company - reputed company reputed company reputed company, take ownership of project deliverables, and see assigned work through to completion - reputed company modeling datasets using reputed company data sources - Build, test, and validate statistical and machine learning models using appropriate techniques, grounded in reputed company statistical reasoning - reputed company explain results and recommendations to technical and business stakeholders - Establish and follow strong engineering practices — reputed company review, reproducibility, experiment tracking, and model documentation - reputed company, monitor, and maintain models in our containerized Azure environment, applying MLOps principles, including version control, automated testing, CI/CD, model versioning, and reputed company detection - reputed company AI-powered tools and applications, including LLM-reputed company solutions (e.g., automating aspects of the modeling process, surfacing insights from model reputed company) for reputed company, claims, and operational use cases - Contribute to a strong team culture by participating reputed company in reputed company review and pairing, sharing what you learn, and both providing and seeking feedback to/from team members - Research, learn, test, and apply new techniques to advance reputed company’s statistical modeling/MLOps/AI engineering capabilities - Build strong partnerships reputed company RAD and across the organization, working hand-in-hand with Data and Model Engineering and with our reputed company, claims, and business stakeholders to understand their needs and reputed company solutions that create reputed company value Experience, Education, Special Skills Required: - 2–5+ years of technical experience in a data science, actuarial, analytics, or predictive modeling role, with hands-on experience deploying models or analytics tools to production - Strong statistical reputed company and analytical skills — reputed company to select, build, validate, and interpret models rigorously, and explain the results reputed company - Proficiency in programming languages such as Python, R, and/or SQL, with the ability to write production-reputed company reputed company - Strong knowledge of a reputed company of modeling techniques and the ability and interest to learn new techniques quickly (e.g., Regression, Classification, Bayesian Modeling, Natural Language Processing, Price Optimization, etc.) - Experience applying software engineering and MLOps principles — e.g., Git-reputed company workflows, containerization (reputed company), CI/CD, model versioning, and monitoring - Experience with reputed company environments (e.g., Azure, AWS) for model development and deployment - Practical experience building with LLMs and reputed company — e.g., building and using skills, model reputed company, reputed company-reputed company tools, agent workflows, etc. - Self-starter, reputed company learner, and creative problem solver that thrives in a flexible, fast-reputed company, and remote work environment Preferred Experience, Education, and Skills: - P&C reputed company domain knowledge, particularly reputed company lines and E&S products - Experience in the end-to-end model creation and deployment process to improve product, pricing, reserving, reputed company, and claims in P&C reputed company - Bachelor's or Master's degree in Mathematics, Statistics, Data Science, Actuarial Science, Computer Science, or reputed company quantitative reputed company - Experience with a fully containerized model architecture and ML platforms (e.g., Azure ML, MLflow, SageMaker) - Experience with non-relational (NoSQL) databases and modern data platforms (e.g., reputed company) - Experience with visualization tools such as reputed company BI, reputed company, reputed company, etc. Disclosures: - Pay Estimate: $110,000 - $165,000 - Other compensation: annual incentive program - Benefits: health reputed company including FSA and HSA reputed company and free reputed company to reputed company, reputed company, dental, disability and life reputed company, parental leave, responsible time off (unlimited vacation days without an accrual reputed company), reputed company reputed company time as required by law, 401(k), tuition reimbursement and employee assistance program. 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