Data Science Intern

We are seeking a highly motivated and detail-oriented Data Science Intern to join our team. The ideal candidate will be responsible for designing, optimizing, and maintaining end-to-end models that analyze and forecast price movements based on financial data. You will contribute to building data-driven investment strategies using technical analysis and advanced techniques in machine learning (ML) and deep learning (DL).Key Responsibilities:Supporting senior in research, design, and implement predictive models to analyze financial time series dataTry to develop and backtest systematic trading strategies based on technical indicators, ML/DL models, and other data-driven approachesOptimize model performance through feature engineering, hyperparameter tuning, and robust evaluation techniquesSupporting senior in maintain, update, and deploy ML/DL pipelines to ensure stability and adaptability in live trading environmentsCollaborate with data engineers and developers to ensure smooth integration of research models into production systemsMonitor and refine strategies based on real-world performance and changing market conditionsStay up to date with the latest research and techniques in quantitative finance, ML/DL, and algorithmic tradingWorking Hours: 08:00 - 17:00, Monday to Friday, with 1.5 hours lunch break (Interns can have flexible working hours to accommodate their class schedules).
Yêu cầu công việc
We are seeking a Data Scientist with strong quantitative thinking and hands-on modeling ability to transform data into reliable analytical and predictive systems.
Solid grounding in Mathematics and Statistics (linear algebra, probability, inference, optimization). Experience with end-to-end data workflows: data processing, exploration, feature design, and validation.
Practical experience in building ML models for prediction and pattern discovery (regression, classification, clustering).Understanding of model robustness: cross-validation, error analysis, and metric-driven evaluation.
Familiarity with tree-based models (Random Forest, Gradient Boosting) and regularization techniques.
Basic knowledge of neural networks; exposure to PyTorch or TensorFlow preferred.
Experience handling structured datasets and temporal/sequential data.
Strong proficiency in Python and data ecosystem tools (pandas, NumPy, scikit-learn).Ability to synthesize insights from data and communicate findings clearly and concisely.
Strong problem-solving mindset with attention to data integrity and modeling assumptions.
Quyền lợi được hưởng
Opportunity to access and work directly with financial data, and to build market analysis models.
A young, dynamic working environment with chances to develop skills and learn from industry experts.
Initial financial support starts at 3 million VND, with potential increases throughout the internship depending on performance and demonstrated capability.
Lunch allowance is provided, and working hours are flexible to fit your schedule.
Opportunities to join annual trips and team-building activities.