Data science internship
2 settimane fa
Viceversa is an innovative fintech company supported by international investors that aims to become the financial and operational partner for the next generation of digital businesses.
Viceversa built a powerful growth platform that boosts businesses at the pace they want with equity-free investments and data-driven insights. We provide flexible growth capital from €10 K to €5 M for digital businesses within three days and growth analytics that allow companies to collect, visualize, and analyze all data in one place to make better business decisions.
Viceversa envisions a new way of growth based on transparency and technology to support companies in a sustainable and ethical way. We are on a journey to revamp the European fintech landscape. Learn and contribute to the development and improvement of our forecasting models for financial and business performance analysis.
Assist in designing and implementing Generative AI (Gen AI) solutions, focusing on AI agents that enhance our decision-making processes.
Support the optimization and evaluation of our machine learning models, ensuring accuracy and reliability.
Work with large datasets, extracting insights to enhance our predictive analytics and risk assessment capabilities.
Collaborate with the Data Engineering team to ensure efficient data pipelines and ETL processes for AI/ML applications.
Academic background in Data Science, Computer Science, Mathematics, Statistics, or a related field . Passion for Generative AI and AI agents , and eager to explore their application in fintech. A great team player with strong collaboration skills.
Proficiency in Python and its data science ecosystem (Pandas, Num Py, Scikit-learn, Tensor Flow/Py Torch, etc.).
Strong understanding of SQL and ability to work with structured data.
Basic understanding of Google Cloud Platform (GCP) and cloud-based AI solutions.
Knowledge of BI tools (e.g., Data Studio, Tableau, Power BI).
Experience with financial data analysis or previous exposure to fintech.
Hands-on experience with Lang Chain, AI agents, or Auto Gen frameworks.
Hybrid work policy
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