Data & AI Engineer Intern (6 months)

🏢 Shifttechnology · 📍 France - Paris

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Position Summary & Responsibilities

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Learn more at www.shift-technology.com

Shift Technology :

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to detect fraud, assess risk, and recommend actions throughout the claims process. Our teams tackle complex data challenges and bring advanced models into production at scale, giving insurers deeper insights into their data while helping their customers get paid faster and enjoy a smoother claims experience. Our technology is adopted and trusted by the world’s leading insurers.

The Data & AI Engineering Team 🤖:

The Data & AI Engineering team designs, builds, and maintains the platform that powers all of Shift’s products and features used by insurers. We bring together Data, Software, and ML/AI Engineers to tackle a broad range of technical challenges. Here are just a few of the areas we work on:

Predictive ML models, RAG systems and advanced agentic AI

🎯 Candidate Preparation Guide For Shifttechnology Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Enterprise SaaS scaling ability, deep machine learning application in fraud/claims, and high-velocity B2B execution.

📋 Preparation Priorities (Key Areas to Clarify):

1. Treating insurance domain knowledge as an afterthought rather than a critical operational pillar
2. Proposing complex AI solutions that lack explainability or regulatory compliance for insurers
3. Failing to demonstrate cross-functional collaboration between product, data science, and enterprise sales

✨ Recommended Role Alignment Hook:

I build and scale enterprise AI solutions that solve high-stakes fraud and claims problems, turning complex data science into undeniable ROI for insurers.

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