Applied Data Scientist

Job Summary

Working in a hybrid environment, the full-time Applied Data Scientist will actively participate in the development of products focused on fraud detection, anti-money laundering, and claim automation while implementing data engineering solutions and automating business tasks.

Key responsibilities

• Participate in the development of products related to fraud detection, anti-money laundering, and claim automation using various data types
• Implement data engineering processes from client extracts to data storage in SQL and ElasticSearch
• Develop, test, and deploy machine learning models for fraud detection and automation tasks in complex environments

Required qualifications

• 2+ years of experience in C# and SQL, with a focus on writing maintainable, production-quality code
• A degree in machine learning, statistics, or a related field, with a strong understanding of statistical and machine learning concepts
• Experience in client-facing roles, with the ability to communicate effectively with clients
• Interest in learning about the insurance sector and the business aspects of technology solutions