JPC - 204960 - 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!