Teams at Shift Technology

Develop and productionize data science and engineering solutions for fraud detection, anti-money laundering, and claims automation. Responsibilities include building data pipelines into SQL and Elasticsearch, developing and tuning machine learning models, automating business processes in C#, working with structured and unstructured data, and engaging clients to gather feedback, present solutions, and define product roadmaps.

Design, build and maintain scalable data models, ETL pipelines, and data access layers. Collaborate with product and data science teams to enable analytics and dashboards, participate in agile processes, code reviews, deployment, and monitoring to deliver production-quality data solutions.

Build and deploy production ML solutions for fraud detection, AML and claim automation. Implement data pipelines from client extracts to the data warehouse, develop/tune/test models, automate business tasks in C#, report KPIs, and engage with clients and stakeholders.