Data Scientist

Summary

Join Shift Technology, a leading AI platform for insurance, as a Data Scientist in a full-remote position based in Germany. Contribute to the design and evolution of products focused on fraud detection, anti-money laundering, and claims automation. Work with diverse data types, including structured data, unstructured text, documents, and images. Collaborate with a team of technical experts to improve and roll out fraud detection and claims automation solutions. This is a permanent role perfect for recent graduates seeking their first full-time Data Science opportunity. You will actively contribute to the Insurance roadmap and clients, and work on various data types such as structured data, free text, documents and images. Shift offers a competitive total rewards and benefits package.

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, or statistics, or having hands-on experience with AI- and GenAI-based methods and models to tackle complex business problems
• Have 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
• Have an advanced command of German and English, both written and spoken, equivalent to a native speaker

Responsibilities

• Actively contribute to the design and evolution of our suite of products focused on fraud detection, anti-money laundering, and claims automation
• Implement the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
• Develop, test, and tune models using GenAI, AI, and business rules, and put 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)