Data Science Internship
Posted 20 Mar 2026
Advertised as “ Data Science Internship ”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Internship
No salary listed for this role.
Field of studyData Science, Machine learning, Mathematics, Software Engineering, Statistics
Study levelBachelor's or higher
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 www.shift-technology.com
Shift Technology :
Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.
The Data Science Team🤖:
The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation. We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.
Your key responsibilities will include🧑💻:
- Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models.
- Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions.
- Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.).
Your profile and requirements✅:
- You are either a 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.
- You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write production quality code. An experience using C# is a plus.