Sertis - Data Scientist Intern
Requirements
• Currently studying a Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field. • Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field • A good foundation in Python, data analysis, and machine learning concepts. • Python, data analysis, and machine learning concepts • Hands-on experience from coursework, personal projects, research, or competitions in LLMs and agentic AI, time series forecasting, computer vision, or training machine learning and deep learning models. • LLMs and agentic AI, time series forecasting, computer vision, or training machine learning and deep learning models • Familiar with machine learning libraries such as scikit-learn, PyTorch, or TensorFlow. • scikit-learn, PyTorch, or TensorFlow • Good communication and interpersonal skills and can work effectively with team members. • Good communication and interpersonal skills • This is your chance to build your career in a growing data-driven and AI industry. • Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice
Responsibilities
• Explore, clean, and analyze data to understand business problems and identify useful patterns. • Build, train, and evaluate machine learning or deep learning models for real-world use cases. • Experiment with approaches such as LLMs and agentic AI, time series forecasting, or computer vision, depending on the project. • Compare model results, document your experiments, and share findings and recommendations with the team. • Collaborate with data scientists and other team members to develop practical AI solutions.
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