Senior Data Scientist

Senior Data Scientist - Claims & Risk Analytics (Remote, CST Hours)
Location: Remote (US, CST hours)
Duration: 12-month contract with extension potential
Job Type: C2C

About the Role:
Join a cutting-edge analytics team as a Senior Data Scientist and drive transformative machine learning and NLP solutions for an industry-leading claims and incident mitigation project. Make a real impact by helping risk management teams predict, classify, and proactively address high-risk insurance claims. This is a fully remote opportunity offering exposure to large-scale data challenges, cloud technologies, and cross-functional collaboration-all while advancing your career in applied data science.

Responsibilities:

- Design and implement ML and NLP solutions for insurance claims and incident mitigation analytics
- Translate complex risk management business needs into actionable data science strategies
- Profile, clean, and prepare structured and unstructured claims and incident data for modeling
- Engineer advanced features and leverage NLP to extract key risk signals from narrative data
- Apply record linkage techniques to connect disparate data sources without unique identifiers
- Build, validate, and deploy models ranking incidents by claim likelihood and severity
- Classify claims by probable financial impact and assist in fraud detection
- Collaborate closely with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps teams
- Monitor model performance, ensure scoring quality, and manage retraining cycles
- Document assumptions, feature logic, validation outcomes, and model limitations
- Present results and actionable insights to both technical and business stakeholders

Required Skills and Experience:

- Master's degree in computer science, statistics, industrial engineering, or related field (PhD preferred)
- 5+ years in data science, operations research, or related area (2+ with PhD)
- Deep expertise in insurance claims analytics, risk analysis, and fraud detection
- Proficient in operations research modeling (LP, IP, MIP) and optimization tools (CPLEX, Gurobi)
- Advanced skills in machine learning (supervised, unsupervised, deep learning), model evaluation, and feature engineering
- Programming expertise in Python, SQL, Spark; strong command of ML frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM)
- Cloud deployment experience (AWS, Azure, GCP) with large, complex datasets
- Hands-on with streaming data architectures, Agile methodologies, DevOps, and CI/CD practices
- Strong communication, documentation, and teamwork abilities

Preferred Skills:

- Background working with data in hospitality, travel, or service industry settings
- Advanced understanding of data architecture and MLOps best practices
- Proven track record translating analytics into measurable business impact
- Demonstrated passion for innovation and continuous learning in data science

Benefits:

- Flexible remote work with collaborative, expert teams
- Exposure to state-of-the-art cloud and AI technologies
- Opportunity to work on high-impact, high-visibility projects
- Professional growth through cross-functional engagement and challenging problem-solving
- Potential contract extension based on performance

How to Apply:
If you are a data science expert passionate about transforming risk analytics and driving actionable business outcomes, we want to hear from you. Apply now with your updated resume for immediate consideration!