Data & AI Engineer Intern (6 months)
Shift Technology23 hours ago
Paris, FranceIntern
Responsibilities
- Understand business problems with clients, Product teams, and domain experts.
- Explore state-of-the-art approaches and identify the best solution for the use case.
- Design AI solutions with Architects and the AI Research Lab.
- Build and integrate features within a cross-functional squad.
- Evaluate and improve performance using accuracy, precision, recall, and latency measures.
- Deploy AI features into production with forward-deployed Data Scientists.
Requirements
- Currently enrolled in a master’s degree program in Computer Science, Machine Learning, Artificial Intelligence, or Big Data.
- Strong technical skills in Python and object-oriented programming.
- Prior exposure to C#, Java, or C++ through coursework, internships, or personal projects is preferred.
- Hands-on interest in LLMs, agentic workflows, ML evaluation frameworks, and automation.
- Strong engineering mindset with interest in code quality, system performance, and software design principles.
- Able to provide a six-month internship agreement signed by a school or university, starting around February 2027.
- Fluent English is mandatory.
Benefits
- Six-month internship with a start date around February 2027 and a university-signed internship agreement.
- Hybrid working model with flexible remote and hybrid options.
- Hands-on training, workshops, and learning sessions with experienced AI researchers.
- Dedicated HR partner, regular reviews, and feedback sessions.
- International, English-speaking environment with exposure to real insurance business challenges.
- Learning and development opportunities, including monthly Focus Fridays.
- Generous PTO and paid holidays, subject to eligibility.
- Mental health benefits and two paid volunteering days per year.
Categories
About Shift Technology
Shift Technology builds AI-driven software for insurers to detect fraud, improve claims handling, underwriting, and subrogation, and support payment integrity. Its products are delivered as enterprise SaaS and data services to property and casualty and other insurance carriers. Founded in 2014 and headquartered in Paris, the privately held company serves global insurers and emphasizes explainable, industry-grade models integrated into core insurance workflows.