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# Data Scientist

- **Company:** Orion180 Insurance Services, LLC
- **Location:** Irving, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Information Engineering, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, SQL Databases, Systems Integration, Feature Engineering, Sql Optimization, Pytorch, Large Language Models, Snowflake, Generative AI, Scikit Learn, Information Technology, Xgboost, Performance Monitor, Operational Systems, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ae2dcef05bbeedb2

## About the Role

Do you have experience in SQL?, Do you have a Master's degree?, * Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, Operations Research, or a related quantitative field; Bachelor's considered with exceptional applied experience., * 4+ years of applied data science experience, with demonstrated delivery of production-grade ML models-ideally within insurance, financial services, or another regulated industry.

 * Deep proficiency in Python (scikit-learn, XGBoost/LightGBM, TensorFlow/PyTorch, statsmodels) and SQL optimization across large-scale datasets.
 * Hands-on experience with cloud data platforms (Snowflake, Databricks) and MLOps tooling (MLflow, Vertex AI, SageMaker, or equivalents).
 * Track record of translating ambiguous business problems into structured, solvable data science problems with measurable outcomes.
 * Strong understanding of actuarial principles, risk modeling, or loss reserving methodology is a significant differentiator.

## Description

In this role you will design and deploy machine learning models to solve complex business problems, manage the full model lifecycle, and build scalable data pipelines. Drive innovation through advanced analytics and AI, while translating insights into actional decisions and partnering across teams to embed solutions into business workflows.

Advanced Modeling & Machine Learning

 * Design, develop, and deploy supervised and unsupervised machine learning models to solve complex business problems in underwriting, pricing, claims, and risk segmentation.
 * Lead end-to-end model lifecycle management: problem framing, feature engineering, model selection, validation, deployment, and ongoing performance monitoring.
 * Apply advanced statistical techniques to extract signals from complex, high-dimensional datasets.
 * Develop and refine forecasting models to support actuarial, financial, and operational planning functions.

Data Engineering & MLOps

 * Build and maintain scalable, reproducible data pipelines and feature stores that support modeling workflows.
 * Architect and implement MLOps practices to ensure production reliability.
 * Partner with data engineering teams to integrate model outputs into operational systems and downstream analytics workflows.
 * Champion data quality, lineage, and governance across structured and unstructured datasets used in modeling.

Research, Experimentation & Innovation

 * Design and execute rigorous experiments, translating results into actionable business recommendations with quantified impact.
 * Evaluate and prototype emerging AI/ML techniques, including large language model (LLM) integrations, generative AI applications, and automated insight generation for applicability to insurance and financial services use cases.
 * Stay current with the academic and industry literature; bring new methodologies into the team's toolkit where they create measurable advantage.

Communication & Cross-functional Partnership

 * Translate complex model outputs and statistical findings into clear, actionable narratives for leadership, actuarial, underwriting, claims, and distribution partners.
 * Collaborate with sales, underwriting, claims, and actuarial teams to embed models into decision workflows and ensure outputs are interpreted and applied correctly.
 * Document model assumptions, governance processes, and validation results to maintain compliance with regulatory and audit standards., While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (<25 lbs); and using standard office equipment such as computers, printers, and phones. In addition, there is an occasional need to bend, twist, or squat down to open/close cabinets and reach for files or other standard office-type objects.


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