Data & AI Engineer Intern

Description

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.

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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 the company's site

The company :

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.

The Data & AI Engineering Team :

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 workflows for scoring and decisions;

Data storage: relational, NoSQL, and vector databases;

Data pipelines: ingestion, cleaning, transformation, and enrichment;

Unstructured data processing: text and documents;

Entity linking, entity resolution, and network detection using graph algorithms

Working closely with forward-deployed Data Scientists, we take end-to-end ownership of these components: from designing the architecture and implementing solutions together to overseeing deployments and maintaining and improving systems in production.

Your key responsibilities‍:

You’ll own a feature of Shift’s Data & AI platform involving large language models (LLMs) and agentic workflows, from initial exploration to production, which will improve our fraud detection or payment integrity models. You’ll be responsible for:

Understanding the business problem with our clients, Product teams, and domain experts

Exploring the state of the art, testing approaches, and identifying what works best for your use case

Designing the solution alongside our Architects and AI Research Lab

Building and integrating your feature within a cross-functional squad

Evaluating and improving performance, measuring accuracy (precision / recall) and latency

Deploying your feature into production in collaboration with our forward-deployed Data Scientists

Along the way, you’ll discover how Sales, Product, Engineering, Research, Data Science, Security, and other teams work together to deliver AI products to clients.

Your profile and requirements:

You are currently enrolled as a Master's degree student in Computer Science, Machine Learning, Artificial Intelligence, or Big Data.

You possess strong technical skills in Python and Object-Oriented Programming (OOP) . Prior exposure to C, Java or C++ (via coursework, internships, or personal projects) is a strong plus.

You have a deep technical curiosity and a hands-on interest in modern AI paradigms (LLMs, agentic workflows, ML evaluation frameworks, and automation).

You demonstrate a strong engineering mindset with an interest in code quality, system performance, and software design principles.

You can provide a 6-month internship agreement ( Convention de stage ) signed by your school/university, starting around February 2027

Language requirements: English is mandatory at a fluent level.

Benefits

• ‍Flexibility, autonomy and adaptability are part of our core values : We are a horizontal organization without bureaucracy (65% of staff are in tech roles) but optimal and reduced line management, focus on delivery and development while having a hybrid model.
• Learn from inside an AI leader tech company : Join the 13th French Licorne providing hands on training, workshop and sessions with highly experienced AI research Team.
• Your commitment, our investment : 2000€ gross monthly gratification, high conversion rate to full time employee, dedicated HR partner, regular reviews and feedback sessions with your team.
• Be part of an international and diverse tech firm : Full english speaking environment with 55 different nationalities across the world and 11 offices locations (Paris, Singapore, Tokyo, Sao Paulo, Mexico City, Boston, Madrid, London, Toronto, Berlin...)
• Dealing with big clients and developing business skills & knowledge : Real life experience with Insurance business challenges inside the world of AI.
• What is next ?
• If your application and experience meet our requirements, you can expect :
• Talent Acquisition interview (30 min)
• Technical interview 1 (60 min)
• Hiring manager interview (60 min)
• The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address.
• To support our permanent, full time employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:
• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• Mental health benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering)
• Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.
• AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.
• Please be aware of scammers and only trust correspondence that comes from emails ending in "the company's site". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.
• The company does not accept unsolicited CVs from recruiters or employment agencies in response to the the company Careers page or a the company social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of the company.