Hybrid Data Science Intern

at GeoComply

• Job title: Data Science Intern
• Job type: Internship
• Experience level: Entry level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Numpy, Pandas, Python, SQL
• Location requirements: Hybrid, Ho Chi Minh, Vietnam

About the role

• Data Science Intern developing machine learning solutions for fraud detection at GeoComply. Collaborating with data scientists to solve real-world challenges and gain hands-on experience in a fast-paced environment.

Responsibilities

• Support ML Model Development: Assist in building, testing, and validating machine learning models for fraud detection and anomaly detection under guidance from senior data scientists.
• Conduct Data Analysis & Exploration: Perform exploratory data analysis to identify patterns, trends, and insights in large-scale transaction datasets.
• Feature Engineering & Data Preparation: Help develop features, clean and preprocess data, and prepare datasets for model training and evaluation.
• Model Evaluation & Testing: Run experiments, evaluate model performance using standard metrics, and document findings clearly.
• Research & Learning: Investigate new fraud patterns, research ML techniques, and stay current with industry best practices in fraud detection and data science.
• Collaborate & Learn: Work closely with data analysts, data scientists, and engineers; participate in code reviews and team meetings to develop professional skills.
• Documentation: Maintain clear documentation of analysis methods, code, and results to support knowledge sharing.

Requirements

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Machine Learning, or related quantitative field.
• Strong academic record with relevant coursework in machine learning, statistics, or data analysis.
• Solid programming skills in Python with familiarity with data manipulation libraries (Pandas, NumPy).
• Basic understanding of machine learning concepts and algorithms (classification, regression, clustering).
• Working knowledge of SQL for data extraction and basic queries.
• Familiarity with data visualization tools (Matplotlib, Seaborn, or similar).
• Basic understanding of statistical concepts and experimental methods.
• Experience with Jupyter notebooks or similar development environments.
• Familiarity with version control (Git) is a plus.
• Strong curiosity and eagerness to learn new technologies and techniques.
• Good problem-solving skills with attention to detail.
• Ability to work independently and ask thoughtful questions when guidance is needed.
• Good communication skills with ability to explain technical concepts clearly.
• Self-motivated with ability to manage time and priorities effectively.

Benefits

• Competitive internship compensation
• Premium health insurance coverage
• In-office snacks and drinks (snacks, coffee, juice, milk, etc.)
• International working environment
• Opportunity to work on high-impact projects
• Hybrid working mode & Modern office at a prime location in District 1