Data Science Intern

Company Description Weskill is a pioneering online training platform focused on upskilling undergraduate students through practical, hands-on learning. The organization designs programs that closely align with industry needs, helping learners bridge the gap between academic curricula and real-world corporate expectations. Weskill’s training equips participants with job-ready skills that are valued in high-growth startups and leading multinational companies. By emphasizing applied knowledge and career readiness, Weskill supports learners in building a strong foundation for a promising professional future.
Role Description The Data Science Intern role is a remote internship focused on supporting data-driven decision-making across Weskill’s training and platform initiatives. On a day-to-day basis, the intern will collect, clean, and organize data from various sources, perform exploratory data analysis, and generate insights to improve course content and learner experience. Responsibilities include working with basic statistical methods, assisting in the development of dashboards or reports, and supporting data science projects under the guidance of senior team members. The intern will collaborate with mentors and cross-functional teams, document findings, and communicate results clearly to both technical and non-technical stakeholders.
Qualifications
Candidates should possess strong Analytical Skills and a structured problem-solving mindset.
Candidates should possess foundational knowledge of Statistics and be comfortable applying basic statistical concepts.
Candidates should possess core Data Science skills, including familiarity with common tools or languages (e.g., Python, R, SQL).
Candidates should possess Data Analytics and Data Analysis skills for cleaning datasets, exploring trends, and drawing insights.
Familiarity with data visualization tools (e.g., Tableau, Power BI, or Python/R libraries) is beneficial.
Currently enrolled in or recently graduated from a degree program in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, or related discipline).
Ability to work independently in a remote environment, manage time effectively, and meet project deadlines.
Clear written and verbal communication skills and an eagerness to learn from feedback and mentorship.

Work arrangement
Yes