Data Science Internship at Shift Technology

Shift is the leading AI platform for the insurance industry. We combine generative, agentic, and predictive AI to revolutionize underwriting, claims processing, and fraud detection. Our work drives real operational efficiency and creates exceptional experiences for our customers. With a team spanning over 50 countries, we are building the future of insurance through innovation and a shared commitment to excellence.

Role at a glance

We are looking for a motivated student to join our team as a Data Science Intern. This is a full-time position that operates on a hybrid basis, offering you the flexibility to work from anywhere. You will be an integral part of our data science efforts, helping us solve complex challenges in a fast-paced, collaborative environment.

Your impact

• Build and deploy data processing pipelines, including handling batch or real-time ingestion, cleaning, and model calibration.
• Collaborate directly with clients to understand their specific needs and incorporate their feedback into our AI solutions.
• Conduct research and development to drive product innovation across machine learning, NLP, and image analysis.

What you'll need

To be successful in this role, you should possess the following qualities and skills:

• Current enrollment in a Master’s program focused on Mathematics, Statistics, Computer Science, Machine Learning, or Big Data.
• The ability to provide a signed internship agreement from your university for a duration of 5 to 6 months.
• Proven experience in object-oriented programming, with the ability to write high-quality, production-ready code.
• Strong communication skills and comfort interacting with clients.
• Fluency in Spanish and a high level of English (C1) to collaborate effectively within our international team.

Perks and compensation

The base salary for this position is 22,000 EUR. In addition to your compensation, you will enjoy a range of benefits designed to support your well-being and professional growth:

• Flexible and hybrid work arrangements.
• Access to a dedicated learning budget to sharpen your skills.
• Paid time off to ensure you stay refreshed.
• A mental wellness budget to support your health.
• The opportunity to work in a truly global, remote-friendly environment.