Data Science

Fundvis SA is a technology-driven company focused on delivering innovative solutions in the financial services and investment ecosystem. We leverage modern data platforms, artificial intelligence, and cloud technologies to create intelligent products and workflows that help our clients make better decisions.

We are looking for a motivated and technically strong Data Science & AI Intern to join our team for a paid internship of 3–6 months.

As a Data Science & AI Intern, you will work closely with our technology and product teams on real-world AI and machine learning initiatives. You will help design, develop, and deploy AI-powered solutions using modern cloud infrastructure and large language model (LLM) technologies.

·      Develop and maintain Python-based data science and AI applications

·      Build and optimize workflows using Large Language Models (LLMs)

·      Work with AWS services, including AWS Bedrock, to develop and deploy AI solutions

·      Assist in designing AI-powered automation and intelligent data processing pipelines

·      Collaborate with internal teams to prototype and implement innovative AI use cases

·      Analyze datasets and generate insights using machine learning and statistical techniques

·      Support experimentation, evaluation, and fine-tuning of AI models

·      Contribute to documentation, testing, and deployment processes

·      Strong programming skills in Python

·      Hands-on experience with Large Language Models (LLMs) and AI frameworks

·      Experience working with AWS cloud services, especially AWS Bedrock

·      Familiarity with machine learning, data science methodologies, and prompt engineering

·      Knowledge of APIs, vector databases, and AI orchestration frameworks is a plus

·      Understanding of software engineering best practices and version control (Git)

·      Strong analytical and problem-solving skills

·      Ability to work independently and collaboratively in a fast-paced environment

·      Excellent communication skills in English

·      Experience with Retrieval-Augmented Generation (RAG) systems

·      Familiarity with LangChain, LlamaIndex, or similar frameworks

·      Knowledge of Docker and cloud deployment practices

·      Experience with data visualization and analytics tools

·      Interest in financial technology, investment analytics, or enterprise AI applications

·      Position: Data Science & AI Intern

·      Duration: 3–6 months

·      Compensation: Paid Internship

·      Start Date: As soon as possible

·      Opportunity to work on cutting-edge AI and LLM projects

·      Hands-on experience with modern cloud and AI technologies

·      Exposure to real-world enterprise AI applications

·      Mentorship from experienced professionals

·      Dynamic and collaborative work environment

·      Potential opportunity for long-term collaboration