Applied Data Scientist/Engineer

Summary

Join Shift Technology, a leading InsurTech innovator, and become a key member of our large Data Science team. You will actively participate in developing our AI-powered products for fraud detection, anti-money laundering, and claim automation. This role involves working with diverse data types, implementing data engineering solutions, developing and deploying machine learning models, and automating business tasks. You will collaborate with clients and stakeholders, contributing to the success of our enterprise-level solutions. Shift offers a competitive compensation and benefits package, including flexible work options, equity, generous PTO, and opportunities for professional development.

Requirements

• Be code-savvy, either by having a degree in computer science and/or having developed some apps with actual users- writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking
• Be AI-savvy, either by having a degree in machine learning and/or statistics. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working
• Be client facing. You will need to be comfortable and open to communicating to our clients on a regular basis
• Be business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products

Responsibilities

• Actively participate in the development of our suite of products: fraud detection, anti-money laundering, and claim automation; and working on various data types such as structured data, free text, documents and images
• Implementation of the data engineering , usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
• Developing, testing, tuning models and putting them in production for tasks such as fraud detection and automation detection in complex environments
• Automate key business tasks by implementing them in our production process framework in C#
• Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions

Benefits

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• 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)