Data Science

Summary

Join Shift Technology's Data Science team as an intern and help transform the insurance industry with AI! This internship, starting between July and September 2025, offers opportunities to enhance programming skills and solve real-world problems. You will work closely with technical experts, implementing data processing pipelines, collaborating with clients, and participating in R&D. The internship may transition to a permanent position. Shift Technology offers a competitive benefits package including flexible remote work options, competitive salary with performance-based bonuses, company equity, and generous paid time off.

Requirements

• You are completing or have a Master's or Bachelor's degree in Mathematics, Statistics, Data Science, or Computer Science (knowledge in machine learning and/or Big Data is a plus)
• You have experience in object-oriented programming
• You combine strong analytical skills with synthesis capabilities and are not afraid to go into details
• You can write high-quality production code
• You are comfortable interacting with clients
• You can communicate clearly in English
• Mandatory: You are bilingual in Spanish or Spanish is your mother tongue

Responsibilities

• Implement and deploy data processing pipelines for our clients, including batch and real-time processing, data cleaning, and calibration of fraud detection models
• Collaborate with clients to understand their needs and feedback, ensuring that our solutions meet their requirements
• Participate in research and development activities to drive innovation in our products using advanced technologies such as machine learning, image analysis, natural language processing, and trend analysis

Benefits

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• 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)