Data Science Internship

About Shift Technology

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

Shift is the leading AI platform for insurance, combining generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk—driving operational efficiency, exceptional customer experiences, and measurable business impact.

Data Science Team

The Data Science team works across a broad range of subjects, actively participating in the definition and development of products for fraud detection, anti-money laundering, and claim automation. The team brings experience in data science, data engineering, coding, business understanding, and client interactions. Work includes structured data, free text, documents, and images.

Key Responsibilities

• Set up and deploy data processing pipelines, including data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
• Collaborate with clients to understand their needs and incorporate their feedback to enhance solutions.
• Conduct R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).

Profile and Requirements

• Recent graduate or in the final year of a bachelor’s or master’s program in Mathematics, Statistics, Software Engineering, Data Science, or Machine Learning.
• Experience with object-oriented programming (OOP) through prior internships, school, and/or personal projects to produce production-quality code. Experience with C# is a plus.
• Clear understanding of statistics and machine learning problems and common resolutions.
• Ability to clearly articulate thoughts and findings to non-technical audiences.

Internship Details

This internship is full-time, on-site, for six months, starting in January or February 2027.

What to Expect in the Hiring Process

• Talent Acquisition interview
• Technical interview
• Hiring manager interview

Benefits

• 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 for learning and personal growth)
• Generous PTO and paid holidays
• Mental health benefits
• 2 MAD Days per year (paid volunteering)

Additional benefits may be offered by country, based on eligibility.