Data Scientist

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🔥 11 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 15%

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omni:us

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🛡️ Insurance

🤖 Artificial Intelligence

💳 Fintech

Insurance • Artificial Intelligence • Fintech

omni:us is a leading provider of AI-powered end-to-end insurance claim automation solutions. The company specializes in automating claims processing, decision-making, and workflows to enhance customer satisfaction, reduce processing costs, and streamline integration with existing insurance systems. Their innovative technology allows for up to 80% automation in claims handling, facilitating quicker resolutions and more efficient operations for insurers.

📋 Description

• Design and build LLM-based agents and assistants for insurance workflows, including claims intake and triage, coverage checks, document and correspondence processing, fraud indicators and case summarisation • Develop agentic workflows combining LLMs with tools, APIs, business rules and retrieval over policies, claim files and knowledge bases using RAG • Implement multi-step reasoning and human-in-the-loop handover • Apply and adapt multimodal models to extract information from complex insurance documents, including forms, invoices, reports, emails and images • Build evaluation frameworks for generative and agentic systems, including test sets, automated and LLM-as-a-judge evaluation, accuracy and hallucination metrics, cost and latency tracking, and production monitoring • Work on prompt and context engineering, and fine-tune or distill models for specific insurance tasks where beneficial • Design guardrails for safe, explainable and auditable AI decisions aligned with GDPR and the EU AI Act • Collaborate with product managers, engineers and insurance domain experts to bring solutions into production and measure business impact • Assess developments in generative and agentic AI, new models and frameworks, and integrate useful technologies into products • Document approaches, experiments and results for internal use and client communication

🎯 Requirements

• Bachelor or Master degree in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or a related field • 3+ years of experience in data science or machine learning, with a proven track record of delivering AI solutions to production • Hands-on experience building applications with LLMs, including RAG, tool use/function calling, structured outputs, and agents • Experience with the insurance or financial industry is a plus but not required • Strong Python skills and experience with ML/DL libraries such as PyTorch, Hugging Face or scikit-learn • Experience with LLM APIs and agent frameworks or protocols such as LangGraph, LlamaIndex, Model Context Protocol, or similar • Good understanding of evaluating and monitoring generative AI systems, including hallucinations, non-determinism and cost • Familiarity with NLP, document understanding and/or multimodal models • Solid understanding of data engineering concepts, including ETL, databases and vector stores • Experience with Linux, bash, Docker and cloud platforms such as AWS and Azure is beneficial • Proficiency in German and English, written and spoken • Ability to work with and analyze multilingual data effectively • Strong analytical and problem-solving abilities • Excellent communication skills for working with technical teams, domain experts and clients • Self-driven and detail-oriented, with a pragmatic, product-oriented mindset and skepticism toward hype

🏖️ Benefits

• Competitive salary • Comprehensive benefits • Access to state-of-the-art models, tools and infrastructure • Flexible work arrangements, including remote and hybrid options • Impactful projects that go into production with real clients and real data • Inclusive and diverse workplace

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