Deploy and maintain AI solutions for insurance clients, focusing on fraud detection and data pipelines.
•Shift delivers AI agents that transform insurers' most critical work.
•This role is part of the Data Science team, focused on deploying Shift Technology’s solutions to new clients and maintaining solutions for existing clients, including managing data pipelines, executing ETL processes, and developing, testing, tuning, and deploying fraud detection models.
•Key Responsibilities Implement Claim Fraud Detection (CFD) for new clients, focusing on ETL setup, detection implementation, and workflow automation.
•Roll out new platform features to existing clients and drive continuous improvements across existing client environments and pipelines.
•Interact with internal and external stakeholders to define client roadmaps, collect user feedback, present business cases, and report regularly on solution performance.
•Actively mentor more junior data scientists on the team.
•Requirements 3+ years of experience in a similar role (deployment engineering, data science, data engineering, or software engineering).
•Strong background in an OOP language (such as C#, C/C++, or Java) and SQL.
•AI-savvy with a clear understanding of statistics, machine learning, and data solutions.
•Client-facing comfort and business smarts, with eagerness to learn the insurance sector.
Flexible remote and hybrid working options, Competitive Salary and a variable component tied to personal and company performance, Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth, Generous PTO and paid holidays, Mental health benefits, 2 MAD Days per year (Make A Difference Days for paid volunteering)