Senior Data Scientist (AI Engineering Focus) (#5468)
N-iX ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Data science
- Experience
- 5+ years
N-iX ·
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Design and deploy production-ready AI systems for insurance, focusing on Agentic AI, LLMs, RAG pipelines, and Computer Vision using Python and deep learning.
N-iX is looking for an experienced Senior Data Scientist with a strong focus on AI Engineering. The role involves designing and delivering production-ready AI solutions for the insurance industry, with a particular emphasis on Agentic AI, LLMs, RAG pipelines, and Computer Vision.
Key Responsibilities:
Design and develop autonomous AI agent systems for the insurance domain
Build production-ready AI solutions using:Multi-Agent Systems
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Computer Vision
Research, evaluate, and implement state-of-the-art AI technologies
Develop scalable AI products for international markets
Collaborate with a team of Data Scientists and AI Engineers
Take AI solutions from architecture and proof of concept through production deployment
Participate in building proprietary AI models for the insurance industry
Required Skills:
5+ years of commercial experience as a Data Scientist / AI Engineer
Strong Python development skills
Hands-on experience with:Machine Learning
Deep Learning
Generative AI
LLMs
RAG architectures
AI Agent frameworks
Experience building production AI systems
Solid software engineering background
Experience with data analysis and AI product development
Degree in Computer Science/Data Science/Mathematics/Physics/Engineering or equivalent technical background
Upper-intermediate+ English level
Strong analytical thinking, proactive mindset
Ability to design scalable AI solutions
Ability to explain complex technical concepts
Independent and structured way of working
Team player
Nice to Have:
Experience within the insurance industry
German or Spanish language skills
We offer*:
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits