Senior Data Scientist

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Key responsibilities:

• Design and develop autonomous AI agent systems for the insurance domain.
• Build production-ready solutions using Multi-Agent Systems, LLMs, RAG, and Computer Vision.
• Research and implement state-of-the-art AI technologies.
• Develop scalable AI products for international markets.
• Collaborate with Data Scientists and AI Engineers.
• Lead solutions from architecture and proof of concept through production deployment.
• Participate in building proprietary AI models for insurance.

• Flexible working format: remote, office-based, or flexible.
• Competitive salary and compensation package.
• Personalized career growth and professional development tools, including mentorship, tech talks, trainings, and centers of excellence.
• Active tech communities, education reimbursement, anniversary presents, corporate events, team buildings, and location-specific benefits.

• 5+ years of commercial experience as a Data Scientist or AI Engineer.
• Strong Python development skills.
• Hands-on experience with Machine Learning, Deep Learning, Generative AI, LLMs, RAG architectures, and AI Agent frameworks.
• Experience building production AI systems and scalable AI solutions.
• Solid software engineering background and experience with data analysis and AI product development.
• Degree in Computer Science, Data Science, Mathematics, Physics, Engineering, or equivalent technical background.
• Upper-intermediate+ English.
• Strong analytical thinking, proactive and independent working style, structured approach, teamwork, and ability to explain complex technical concepts.

• Experience in the insurance industry.
• German or Spanish language skills.

• Python
• ML
• Deep learning
• GenAI
• LLM
• RAG
• AI Agents
• Computer vision
• Analiza danych
• Software development

• Scalable systems
• Myślenie analityczne

• Angielski

• 25.4k–27.9k PLN netto/m (B2B)
• B2B - Elastyczne godziny pracy (100%)
• Praca zdalna: W całości
• Budżet szkoleniowy, Szkolenia wewnętrzne

N-iX is a global technology partner for Pragmatic AI Software Engineering, the practice of measuring what AI tools actually deliver on your codebase with your engineers before scaling them. With over 2,400 engineers across Europe, the Americas, and APAC, we work with Fortune 500 companies and enterprise technology leaders across finance, manufacturing, supply chain, and retail. For over two decades, we have built and measured software that runs in production.

Our services cover software engineering, AI consulting and implementation, cloud migration and managed services, data platform engineering, application modernization, and cybersecurity. We hold AWS Premier Tier Services Partner status and AWS AI Services Competency, and maintain an established, certified partner ecosystem with Microsoft, Google Cloud, Palantir, Snowflake, and SAP.