We are looking for a passionate and highly motivated Data Science Intern to join our dynamic team. This is a fantastic opportunity to gain hands-on experience working with real-world datasets, developing machine learning models, and contributing to impactful projects. As an intern, you will collaborate with cross-functional teams, enhance your technical skills, and learn how data science can drive decision-making within a fast-paced business environment.

Key Responsibilities:

• Assist in collecting, cleaning, and analyzing large datasets from multiple sources.
• Support the development and testing of machine learning models and algorithms.
• Work with the team to implement data-driven solutions and provide actionable insights.
• Assist in the creation of data visualizations to communicate findings clearly to stakeholders.
• Collaborate with team members to identify data trends and patterns to help improve business strategies.
• Perform exploratory data analysis (EDA) and help identify opportunities for process improvements.
• Document code and methodologies for future reference and reproducibility.
• Stay updated on the latest trends and technologies in data science and machine learning.

Qualifications:

• Currently pursuing or recently graduated with a degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Strong understanding of statistical methods and machine learning algorithms.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy, scikit-learn).
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau is a plus.
• Excellent problem-solving skills and a strong analytical mindset.
• Ability to work independently as well as in a team-oriented environment.
• Strong communication skills to present findings to both technical and non-technical audiences.
• Enthusiasm to learn and adapt to new challenges in the field of data science.

Benefits:

• Internship Certificate
• Letter of Recommendation
• Performance-Based Stipend
• Part-time work from home (2-3 hours per day)
• 5 days a week, fully flexible shift