Data Scientist

Summary

Join Shift Technology, a leading AI-powered insurance solutions provider, as a Data Scientist in a fully remote position based in Germany. This is a fantastic entry-level opportunity for recent graduates to contribute to the design and evolution of fraud detection, anti-money laundering, and claims automation products. You will work with diverse data types, collaborate with a large, global team of experts, and engage directly with clients. The role involves implementing data engineering solutions, developing and deploying AI/GenAI models, automating business tasks, and presenting findings to stakeholders. Shift offers a competitive benefits package including flexible remote work, competitive salary, equity, generous PTO, and professional development opportunities.

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 Insurance roadmap and clients, 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, and tuning models using GenAI, AI, and business rules, 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)