Data Science Intern
About Viceversa:Viceversa is an innovative fintech company supported by international investors, envisioning a new way of funding based on transparency and technology to support companies in sustainable and ethical growth. We are on a very new and exciting journey and looking for talented people that could help us improve our vision and make a significant impact in the financial services sector. Our investment model relies on our proprietary forecasting algorithms and machine learning models, leveraging data extracted from various API connections to evaluate and monitor the companies we invest in.
We are looking for aData Scientist Internwith a passion for forecasting models, artificial intelligence, and agent-based AI systems. Main Responsibilities:- Learn and contribute to the development and improvement of ourforecasting modelsfor financial and business performance analysis. - Assist in designing and implementingGenerative AI (GenAI) solutions, focusing on AI agents that enhance our decision-making processes. - Support the optimization and evaluation of ourmachine learning models, ensuring accuracy and reliability. - Work withlarge datasets, extracting insights to enhance our predictive analytics and risk assessment capabilities. - Collaborate with theData Engineering teamto ensure efficient data pipelines and ETL processes for AI/ML applications. - Engage with theTech and Product teamsto integrate AI-powered solutions into our platform. - Work closely with thePortfolio Teamto translate business needs into actionable AI solutions. Who We Are Looking For:- Academic background inData Science, Computer Science, Mathematics, Statistics, or a related field. - Some experience (academic or professional) in working withforecasting models, ML, and AI. - Curious and strong analytical mindset, with the ability to tackle complex problems. - Passion forGenerative AI and AI agents, and eager to explore their application in fintech. - A great team player with strong collaboration skills. Required Skills:- Proficiency inPythonand its data science ecosystem (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, etc.
). - Knowledge oftime series forecasting models(ARIMA, Prophet, LSTMs, etc.
). - Familiarity withGenerative AI techniques and frameworks(e. G. , LangChain, OpenAI, Hugging Face models). - Strong understanding ofSQLand ability to work with structured data. - Basic understanding ofGoogle Cloud Platform (GCP) and cloud-based AI solutions. Nice to Have:- Knowledge ofBI tools(e. G. , Data Studio, Tableau, Power BI). - Experience withfinancial data analysisor previous exposure to fintech. - Hands-on experience withLangChain, AI agents, or AutoGen frameworks. Working Modality:- HybridTerms and Conditions:- Salary range based on experience.
Our HQ is in Milan, Italy, and we currently meet in the officethree times per week.
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