Company Description
Loretta is a federated and multimodal AI platform designed for statutory and private health insurers, as well as the wider insurance industry. The platform leverages causal AI to integrate insurance data, behavioral and environmental signals, and clinical evidence to predict effective interventions for individual patients while ensuring GDPR and GDNG compliance. Loretta's solutions enable insurers to identify high-risk individuals, enhance health equity, and optimize prevention programs for significant health improvement and regulatory compliance. Operating within Trust Center environments, Loretta ensures data sovereignty and eases integration processes. This platform supports scalable, measurable prevention efforts and helps mitigate healthcare workforce challenges in the German healthcare system.
Role Description
This is a full-time remote role for the Head of Machine Learning. The individual will lead the design, development, and deployment of advanced machine learning models to support Loretta's AI platform. Core responsibilities include:
- Supervising a team of data scientists and engineers
- Enhancing predictive algorithms
- Implementing Natural Language Processing (NLP) methods
- Collaborating cross-functionally to align the ML strategy with the organization's goals
The candidate will also work on improving model performance and tackling challenges in causal AI, pattern recognition, and data science to deliver impactful healthcare solutions.
Qualifications
- Expertise in Machine Learning and its real-world applications in healthcare or insurance
- Strong background in Natural Language Processing (NLP) and Pattern Recognition
- Comprehensive understanding of Data Science and Computer Science fundamentals
- Experience in managing and mentoring teams, driving collaborative initiatives, and fostering innovation
- Ability to interpret complex datasets and implement actionable insights using advanced analytical tools
- Proficiency in programming languages such as Python, R, or similar; experience with cloud-based AI platforms is a plus
- Familiarity with legal and ethical standards in data usage, including GDPR and other regulatory requirements
- Advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, or related field
