Note: The job is a remote job and is open to candidates in USA. Upland Capital Group, Inc. is a specialty property and casualty insurer that uses underwriting, analytics, and technology to serve select insurance markets. The company is seeking a Data Scientist to build, deploy, monitor, and maintain statistical and machine learning models supporting actuarial, underwriting, claims, and operational decision-making, including AI-powered tools and LLM-based solutions.
Responsibilities
- Translate business requirements from different stakeholders into actionable data science projects
- Drive projects forward, take ownership of project deliverables, and see assigned work through to completion
- Curate modeling datasets using internal and external data sources
- Build, test, and validate statistical and machine learning models using appropriate techniques, grounded in sound statistical reasoning
- Clearly explain results and recommendations to technical and business stakeholders
- Establish and follow strong engineering practices — code review, reproducibility, experiment tracking, and model documentation
- Deploy, monitor, and maintain models in our containerized Azure environment, applying MLOps principles, including ~~—~~ version control, automated testing, CI/CD, model versioning, and drift detection
- Develop AI-powered tools and applications, including LLM-based solutions (e.g., automating aspects of the modeling process, surfacing insights from model output) for underwriting, claims, and operational use cases
- Contribute to a strong team culture by participating actively in code 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 the company’s statistical modeling/MLOps/AI engineering capabilities
- Build strong partnerships within RAD and across the organization, working hand-in-hand with Data and Model Engineering and with our underwriting, claims, and business stakeholders to understand their needs and deliver solutions that create real value
Skills
- 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 foundation and analytical skills — able to select, build, validate, and interpret models rigorously, and explain the results clearly
- Proficiency in programming languages such as Python, R, and/or SQL, with the ability to write production-quality code
- Strong knowledge of a variety 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-based workflows, containerization (Docker), CI/CD, model versioning, and monitoring
- Experience with cloud environments (e.g., Azure, AWS) for model development and deployment
- Practical experience building with LLMs and generative AI — e.g., building and using skills, model APIs, prompt-based tools, agent workflows, etc
- Self-starter, quick learner, and creative problem solver that thrives in a flexible, fast-paced, and remote work environment
- P&C insurance domain knowledge, particularly commercial lines and E&S products
- Experience in the end-to-end model creation and deployment process to improve product, pricing, reserving, underwriting, and claims in P&C insurance
- Bachelor's or Master's degree in Mathematics, Statistics, Data Science, Actuarial Science, Computer Science, or related quantitative field
- 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., Snowflake)
- Experience with visualization tools such as Power BI, Shiny, Streamlit, etc
Benefits
- Annual incentive program
- Health insurance including FSA and HSA options
- Free access to Teladoc
- Vision insurance
- Dental insurance
- Disability insurance
- Life insurance
- Parental leave
- Responsible time off (unlimited vacation days without an accrual system)
- Paid sick time as required by law
- 401(k)
- Tuition reimbursement
- Employee assistance program
- Remote work arrangement
Company Overview
Company H1B Sponsorship