143 Data Science Intern jobs in Vietnam

Our client is offering a fantastic remote internship opportunity for bright and motivated graduates to join their Data Science team. This program is designed to provide comprehensive training and hands-on experience in the field of data analysis, machine learning, and data visualization. You will work alongside experienced data scientists, assisting with data collection, cleaning, analysis, and model development. Responsibilities include performing exploratory data analysis, building predictive models, validating model performance, and contributing to data-driven insights that support business decisions. The ideal candidate will have a strong academic background in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics, with a demonstrated passion for data science. Proficiency in programming languages like Python or R, and familiarity with data science libraries (e.g., Pandas, Scikit-learn, TensorFlow) are highly desirable. Excellent analytical, problem-solving, and communication skills are essential, along with the ability to learn quickly and work effectively in a remote team environment. This internship offers an excellent platform to launch a career in data science.

Responsibilities:

• Assist in collecting, cleaning, and preparing data for analysis.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Develop and implement machine learning models under guidance.
• Evaluate model performance and provide insights for improvement.
• Create data visualizations to communicate findings effectively.
• Collaborate with senior data scientists on various projects.
• Learn and apply data science methodologies and tools.
• Document analysis processes and model development steps.
• Contribute to team discussions and knowledge sharing.
• Support data-driven decision-making across the organization.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in Python or R programming languages.
• Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Excellent analytical and problem-solving skills.
• Good communication and presentation skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• A strong desire to learn and grow in the field of data science.

Our client is offering an exciting opportunity for aspiring data professionals through its Remote Junior Data Science Apprenticeship program. This fully remote apprenticeship is designed to provide hands-on training and mentorship in the field of data science, equipping you with the skills needed to excel in this in-demand industry. You will work alongside experienced data scientists, contributing to real-world projects and learning the entire data science lifecycle, from data collection and cleaning to model building and deployment. Key responsibilities include assisting in data analysis, developing visualizations, writing code for data manipulation and analysis, and supporting the team in identifying patterns and insights. This apprenticeship is ideal for individuals with a strong aptitude for mathematics, statistics, and programming, who are eager to learn and grow in a supportive, remote environment. You will gain practical experience with tools such as Python, R, SQL, and various machine learning libraries. The program emphasizes learning by doing, fostering a collaborative spirit, and encouraging continuous professional development. Participants will have the opportunity to work on diverse datasets and tackle challenging problems, developing a robust portfolio of work. This is a chance to kick-start your career in data science with a company that invests in your future, offering comprehensive training and a clear pathway for advancement. If you are passionate about data and eager to gain practical, industry-relevant skills from the convenience of your home, this apprenticeship is an excellent stepping stone.

Responsibilities:

• Assist senior data scientists in data cleaning, preprocessing, and feature engineering.
• Develop data visualizations and dashboards to communicate insights effectively.
• Write and execute code for data analysis and statistical modeling using Python or R.
• Support the development and implementation of machine learning models.
• Collaborate with team members on data-driven projects and problem-solving.
• Learn and apply best practices in data science methodologies and tools.
• Document code and project findings clearly and concisely.
• Participate in regular training sessions and team meetings.

Qualifications:

• Basic understanding of statistics, mathematics, and programming concepts.
• Familiarity with Python or R programming languages is a plus.
• Eagerness to learn data science principles and machine learning techniques.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and manage time effectively in a remote setting.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent demonstrable experience.

Our client is offering an exciting Remote Data Science Graduate Intern position for ambitious individuals looking to kickstart their careers in data analytics and machine learning. This fully remote internship provides a unique opportunity to work on cutting-edge data projects, gain practical experience, and contribute to data-driven decision-making within our organization. You will collaborate closely with experienced data scientists and engineers, assisting in data cleaning, exploratory data analysis, model development, and visualization. Responsibilities include extracting and processing large datasets, applying statistical methods, building predictive models, and presenting findings to stakeholders. The internship will expose you to various data science tools and techniques, including Python, R, SQL, and machine learning libraries. Ideal candidates are currently pursuing or have recently completed a Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or Economics, with a strong academic record. Proficiency in programming languages relevant to data science and experience with data manipulation and visualization tools are essential. Excellent analytical and problem-solving skills, combined with strong communication abilities, are required for success. This role is perfect for motivated graduates who are passionate about data and eager to learn in a collaborative, remote environment. You will have the opportunity to develop a portfolio of data science projects and receive valuable mentorship. If you are ready to apply your theoretical knowledge to real-world challenges, this internship is for you. Join our innovative team and make a tangible impact through data.

Our client is offering an exciting fully remote opportunity for a Graduate Trainee in Data Science. This program is designed for recent graduates eager to launch their careers in the field of data analytics and machine learning. You will work closely with experienced data scientists, contributing to real-world projects and gaining invaluable hands-on experience. This role is entirely remote, providing a flexible and accessible learning environment. As a Graduate Trainee, you will be involved in data collection, cleaning, preprocessing, and exploratory data analysis. You will assist in building predictive models, developing algorithms, and evaluating their performance. Familiarity with statistical concepts and machine learning techniques is essential. The ideal candidate is a highly motivated individual with a strong academic background in a quantitative field such as computer science, statistics, mathematics, or a related discipline. You should possess excellent problem-solving abilities and a keen eye for detail. Programming skills in Python or R are a must, along with experience using data analysis libraries (e.g., Pandas, NumPy, Scikit-learn). Knowledge of SQL for database querying and experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) would be advantageous. You will have the opportunity to learn about various data science tools and platforms. This program emphasizes practical application and continuous learning, providing mentorship and exposure to cutting-edge data science practices. Excellent communication skills are required to effectively collaborate with team members and present findings. This is a fantastic stepping stone for aspiring data scientists looking to build a strong foundation in a supportive, remote-first setting. The program aims to develop your skills in translating complex data into actionable insights, contributing to data-driven decision-making within the organization. You will be an integral part of projects that span across different business units, offering diverse exposure to various analytical challenges.

Responsibilities:

• Assist in data cleaning, preprocessing, and feature engineering.
• Support the development and implementation of machine learning models.
• Perform exploratory data analysis and generate visualizations.
• Collaborate with senior data scientists on various analytical projects.
• Contribute to data pipeline development and maintenance.
• Research and evaluate new data science techniques and tools.
• Assist in the preparation of reports and presentations on analytical findings.
• Participate in team meetings and knowledge-sharing sessions.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Strong foundation in statistical analysis and machine learning concepts.
• Proficiency in Python or R programming.
• Experience with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with SQL for database querying.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities, suitable for a remote environment.
• Eagerness to learn and adapt in a fast-paced field.

Our client is seeking enthusiastic and motivated recent graduates for a Remote Graduate Trainee position in Data Science. This is a fantastic opportunity to launch your career in a fully remote setting, gaining invaluable hands-on experience in analyzing complex datasets and deriving actionable insights. You will work closely with experienced data scientists and analysts, contributing to various data-driven projects. This program is designed to provide comprehensive training and mentorship, enabling you to develop a strong foundation in data science methodologies, tools, and techniques. You will be involved in data cleaning, exploration, modeling, and visualization.

Key responsibilities include:

• Assisting in data collection, cleaning, and preprocessing from various sources.
• Performing exploratory data analysis to identify patterns and trends.
• Developing and implementing statistical models and machine learning algorithms.
• Collaborating with team members to understand data requirements and project goals.
• Visualizing data and results using tools like Tableau, Power BI, or Matplotlib.
• Documenting code, methodologies, and findings.
• Participating in team meetings and contributing to project discussions.
• Learning and applying new data science techniques and tools.
• Supporting the development of data-driven solutions and reports.
• Assisting in the validation and testing of models.

The ideal candidate will have recently completed a Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Economics, or a related discipline. A strong foundation in statistics, programming (preferably Python or R), and database management is essential. Excellent analytical, problem-solving, and communication skills are required. Eagerness to learn and a passion for data are paramount. This fully remote internship provides a unique platform to kickstart your career in data science, working on impactful projects and developing critical skills from the convenience of your home.

Our client is excited to offer a fully remote Graduate Trainee position in Data Science, providing an unparalleled opportunity for recent graduates to launch their careers in a cutting-edge field. This role is perfect for ambitious individuals eager to apply their academic knowledge to real-world business challenges. As a Graduate Trainee, you will work closely with experienced data scientists and analysts on diverse projects, gaining hands-on experience in data collection, cleaning, analysis, and visualization. You will develop predictive models, build machine learning algorithms, and derive actionable insights from complex datasets. Key responsibilities include assisting in the development of data-driven solutions, contributing to the creation of reports and dashboards, and participating in the entire data science lifecycle. This is a unique chance to learn and grow in a supportive, remote-first environment, with mentorship provided by industry experts. You will gain exposure to various analytical tools and techniques, and have the opportunity to present your findings to stakeholders. The ideal candidate possesses a strong quantitative background, a foundational understanding of programming languages like Python or R, and a keen interest in machine learning and artificial intelligence. Excellent problem-solving skills and the ability to communicate technical concepts clearly are essential for success in this remote role. Join our innovative team and embark on a rewarding career journey in data science, all from the convenience of your own workspace.
Responsibilities:

• Assist in data collection, cleaning, and pre-processing from various sources.
• Develop and implement machine learning models and algorithms.
• Analyze large datasets to identify trends, patterns, and insights.
• Create data visualizations and reports to communicate findings.
• Collaborate with senior data scientists on project tasks.
• Participate in code reviews and contribute to data pipelines.
• Learn and apply new data science techniques and tools.
• Present project results to team members and stakeholders.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning techniques.
• Proficiency in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills for remote work.
• Eagerness to learn and adapt in a fast-paced environment.

Our client is excited to offer a unique opportunity for bright and ambitious recent graduates to join their innovative team as Graduate Trainees in Data Science. This is a fully remote program, providing a fantastic platform for early-career professionals to gain invaluable experience in the field. As a Graduate Trainee, you will work alongside experienced data scientists, contributing to real-world projects that involve data collection, cleaning, analysis, and visualization. You will gain exposure to various data science tools and techniques, learn to build predictive models, and develop insights to drive business decisions. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, coupled with a passion for data and a desire to learn. Excellent analytical, problem-solving, and communication skills are essential. This program is designed to provide comprehensive training and mentorship, offering a clear pathway for professional development in data science. Embrace this chance to kickstart your career in a dynamic, fully remote environment, contributing to cutting-edge data-driven initiatives.

Key Responsibilities:

• Assist senior data scientists in data collection, cleaning, and preparation for analysis.
• Perform exploratory data analysis to identify patterns and trends.
• Develop and implement statistical models and machine learning algorithms under supervision.
• Create data visualizations and reports to communicate findings to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and data needs.
• Participate in code reviews and contribute to the development of data science pipelines.
• Stay updated with the latest advancements and best practices in data science and machine learning.
• Contribute to the documentation of data science projects and methodologies.
• Engage in learning activities and training sessions provided by the company.
• Support the broader data science team in ad-hoc analytical tasks.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R.
• Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn).
• Excellent analytical and problem-solving skills.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Attention to detail and a commitment to data accuracy.
• A portfolio of personal data science projects is a plus.

Our client is seeking motivated and enthusiastic Graduate Research Assistants with a strong focus on Data Science for a fully remote internship opportunity, accessible from Can Tho, Can Tho, VN . This internship provides hands-on experience in a cutting-edge research environment, allowing you to contribute to impactful data analysis projects. You will work closely with senior researchers and data scientists, applying your academic knowledge to real-world challenges. Responsibilities include data collection, cleaning, preprocessing, and conducting statistical analysis using advanced tools and programming languages like Python or R. You will assist in developing predictive models, visualizing data, and interpreting complex datasets to derive meaningful insights. The ideal candidate is currently pursuing a Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, and possesses a solid foundation in data science principles. This fully remote role demands strong analytical thinking, meticulous attention to detail, and excellent problem-solving skills. You must be proficient in at least one programming language commonly used in data science and familiar with machine learning concepts. Effective written and verbal communication skills are essential for collaborating with the research team and presenting findings. This internship offers a fantastic opportunity to gain practical experience, build a professional network, and contribute to significant research outcomes while enjoying the flexibility of remote work.
Responsibilities:

• Assist in collecting, cleaning, and preparing datasets for analysis.
• Perform statistical analysis and develop predictive models.
• Visualize data to identify trends and patterns.
• Collaborate with researchers on data-driven projects.
• Document methodologies and findings clearly.
• Utilize programming languages (Python, R) for data manipulation and analysis.
• Stay updated on emerging data science techniques and tools.
• Contribute to research reports and presentations.

Qualifications:

• Currently pursuing a Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Math, etc.).
• Strong foundation in data science, machine learning, and statistical modeling.
• Proficiency in programming languages like Python or R.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication abilities.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and contribute to research projects.

Company Description

Company Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Join Visa: A Network Working for Everyone.

**Job Description**:
Team Summary Visa Consulting and Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. The individual will be part of VCA Data Science geographic team cluster of Indonesia, Philippines, Vietnam, Myanmar and Cambodia (IPVMC) markets, and will be responsible for driving data science engagements with Visa's clients in the cluster and supporting end-to-end delivery. The team is involved in a comprehensive range of consulting services and solutions to our clients, that address unique challenges in areas such as strategic growth, profitability, risk management, digital strategy and portfolio management. What a Data Science Sr. Manager, Visa Consulting & Analytics does at Visa: The Data Science Sr. Manager will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing the IPVMC cluster. The position will be based in Visa’s Singapore office. The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value. Key responsibilities include: Prepare client proposals and project plans, identify dependencies, roles and responsibilities, scope and deliverables of data science engagements Define detailed scope and methodology, design and create solutions, execute on the framework leveraging appropriate tools and techniques Lead project execution and delivery, ensuring best-in-class solutions to problem statements and positive feedback from client/stakeholder teams Lead client presentations and discussions, communicate findings and recommendations to appropriately, drive deployment and implementation of solutions Develop trusted relationships with client senior executives and data science leads through impactful data driven engagements Ensure consistency, standards & quality control of data science work, with all project documentation up to date Actively seek out opportunities to innovate by using Visa’s data, client’s data and non-traditional data fit for purpose to the needs of our clients Enhance existing data science techniques by promoting new methodologies and best practices in the field Promote thought leadership in the data science domain and build intellectual property through innovation People management - mentor and supervise data scientists in the team If required on a per-project basis, work onsite for a short duration Why this is important to Visa As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data. This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

**Qualifications**:
Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran statu