Data Science Internship – Financial Modeling & AI Development

About InvestGlass

InvestGlass is a cutting-edge Swiss fintech company, offering a powerful, all-in-one CRM and automation platform tailored for banks, wealth managers, and financial institutions. We leverage the latest in AI and machine learning to help our clients streamline financial advisory, compliance, and customer engagement.

Internship Overview

We are seeking a motivated and talented Data Science Intern to join our team. In this role, you’ll work closely with our Data Science and Engineering teams to develop and optimize financial portfolio, insurance, and loan models, as well as enhance our LLM (Large Language Model) capabilities and existing GPT tools. This internship will provide you with hands-on experience in financial data science, AI model development, and real-world applications in fintech.

Key Responsibilities

• Collaborate on building, testing, and optimizing financial models for portfolios, insurance products, and loan assessments.
• Use machine learning techniques to improve and fine-tune existing models for risk assessment, prediction, and optimization.
• Enhance InvestGlass’s LLM and GPT-based tools, focusing on improving language understanding and response accuracy within financial contexts.
• Work with data from various sources, clean, preprocess, and explore datasets to uncover actionable insights.
• Conduct experiments, evaluate model performance, and implement improvements based on real-world feedback and KPIs.
• Present findings, progress, and final results to the team and contribute to InvestGlass’s data science knowledge base.

Requirements

• Currently enrolled in a relevant university or school program in Data Science, Computer Science, Mathematics, Financial Engineering, or a related field (school support for internship required).
• Strong proficiency in Python and experience with libraries such as Pandas, Scikit-Learn, TensorFlow, or PyTorch.
• Familiarity with financial modeling, risk assessment, and optimization methods.
• Knowledge of natural language processing (NLP) and LLMs (e.g., GPT-3 or similar models) is a plus.
• Analytical mindset with strong problem-solving abilities.
• Excellent communication skills in English; additional languages are a plus.

What We Offer

• An opportunity to gain hands-on experience in the fast-growing fintech industry.
• Mentorship from experienced data scientists and engineers.
• A collaborative and innovative work environment where you’ll work on meaningful, impactful projects.
• Potential for a full-time offer upon successful completion of the internship.

How to Apply

• Please send your resume, cover letter, and a short summary of your recent data science projects or experiences (personal or academic).