Data Science Internship
Benefits:
Flexible working hours
Start-up environment
Mentoring by experienced colleagues
Education Requirements:
Recent graduates or current students in a Masters or Ph.D. degree in math, statistics, computer science, or related field
Experience Requirements:
Experience using Python and its common data analysis packages (numpy, pandas, matplotlib, scikit-learn)
Good understanding of core machine learning concepts
Experience with data processing (transforming, filtering, and presenting large quantities of data)
Advanced English proficiency
Other Requirements:
Experience with deep learning models and frameworks (PyTorch, TensorFlow)
Practical experience with machine learning tasks (NLP, CV, time series)
Experience with databases (SQL and NoSQL) and clustered data processing
Basic understanding of main software development principles (OOP, VCS, CI/CD)
Domain-specific knowledge relevant for modeling
Responsibilities:
Data processing, cleaning, and annotation
Model development, testing, and fine-tuning
Machine learning pipeline development, validation, and deployment
Development of packages and modules for internal use
Preparation of presentations, analytical materials, and project summaries
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