Data Science Intern

About the Role

We are looking for a curious and analytical Data Science Intern to support our U.S.-based team. In this role, you will gain practical, hands-on experience working with data, building analytical solutions, and exploring machine learning applications to help solve real business problems. This internship is well suited for someone who is eager to learn, enjoys working with data, and wants to strengthen both technical and analytical skills in a collaborative environment.

What You'll Do

As a Data Science Intern, you will contribute to day-to-day analytical work and support projects that involve data collection, preparation, analysis, and reporting. You will work with both business and technical stakeholders to help turn data into useful insights and support the development of data-driven solutions.

Key Responsibilities

• Collect, clean, and organize data from a variety of sources.
• Analyze datasets to identify trends, patterns, and actionable insights.
• Assist in developing, testing, and evaluating statistical and machine learning models.
• Create charts, dashboards, and reports to communicate findings clearly and effectively.
• Support data preparation, documentation, and data quality checks.
• Collaborate with business and technical teams to understand project requirements and support solution development.

Requirements

• Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Basic knowledge of Python or R, along with SQL.
• Understanding of statistics and fundamental machine learning concepts.
• Familiarity with tools such as pandas, NumPy, scikit-learn, Power BI, or Tableau is an advantage.
• Strong analytical thinking, attention to detail, and a willingness to learn.
• Good written and spoken English.
• Reliable computer and internet connection, with availability to overlap with agreed U.S. working hours.

Nice to Have

Familiarity with data analysis, visualization, or machine learning tools beyond the basics will be helpful, but not required.

Why Join Us

This is an opportunity to gain practical experience supporting a U.S.-based team, work on meaningful data-related tasks, and build a strong foundation in analytics and machine learning within a professional setting.

Benefits & Perks

Details will be shared during the hiring process.