Data Science Intern

Company Description

Meritshot is a career transformation platform dedicated to helping individuals secure high-growth roles in fields such as Investment Banking, Finance, Software Development, Cyber Security, and Data Science. Offering 100% job assistance, Meritshot provides a structured curriculum developed by industry leaders, 1:1 mentorship, and personalized feedback to help candidates accelerate their professional journeys. Through partnerships with over 400 hiring organizations, Meritshot connects talent with high-impact career opportunities. The platform is focused on not only teaching skills but also mentoring and building successful careers in competitive industries.

Role Description

This is a full-time remote role for a Data Science Intern at Meritshot. The intern will be responsible for conducting data analysis, applying statistical methods, and leveraging data science techniques to derive actionable insights and solve business problems. Daily tasks include working with large datasets, performing exploratory data analysis, building predictive models, and presenting findings in an effective and understandable format to stakeholders. The role will involve close collaboration with teams across the organization to support decision-making through data-driven solutions.

Qualifications

• Strong analytical skills and proficiency in problem-solving to work with complex datasets.
• Knowledge of fundamental concepts in Statistics and their application in data interpretation.
• Understanding of Data Science methods such as machine learning algorithms, predictive modeling, and big data frameworks.
• Proficiency in Data Analytics and Data Analysis tools or programming languages such as Python, R, SQL, or similar.
• Excellent communication skills to effectively present data insights and recommendations to stakeholders.
• Ability to work independently in a remote setting, adapt to dynamic environments, and meet project deadlines.
• Currently pursuing or recently completed a Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.