Data Science Intern

Company Description SNVA Group, part of SNVA Ventures founded in 2009, is a fast-growing global enterprise built on innovation, service excellence, and sustainable growth. The group operates across multiple sectors, including Education, Information Technology, Travel & Tourism, E-commerce, and Federal Government Contracting. Originating from an online learning platform focused on accessible, affordable education, SNVA has expanded its reach to over 60 countries. Guided by purpose-driven innovation and a strong customer focus, SNVA Group offers opportunities to contribute to impactful, technology-driven solutions in a dynamic, growth-oriented environment.
Role Description The Data Science Intern role at SNVA Group is a full-time, on-site position based in Noida. The intern will work with data science and analytics teams to collect, clean, and analyze data, and assist in building models and data-driven solutions for various business verticals. Day-to-day responsibilities may include performing exploratory data analysis, supporting statistical and predictive modeling tasks, preparing reports and visualizations, and documenting methods and findings. The intern will collaborate with cross-functional teams, apply analytical thinking to real-world business problems, and gain exposure to industry practices in a global, multi-vertical organization.
Qualifications
Strong Analytical Skills with the ability to interpret data, identify patterns, and draw meaningful insights.
Foundational knowledge of Statistics, including probability, hypothesis testing, and regression concepts.
Interest and coursework or projects in Data Science, such as machine learning fundamentals or model development.
Experience or familiarity with Data Analytics and Data Analysis, including data cleaning, visualization, and basic reporting.
Exposure to programming languages commonly used in data science (such as Python or R) and data manipulation tools or libraries.
Ability to work on-site in Noida, collaborate within a team environment, and manage multiple tasks with attention to detail.
Currently pursuing or recently completed a degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline.
Good written and verbal communication skills to present findings clearly to technical and non-technical stakeholders.

Work arrangement
No