This article outlines the Data Science Intern role at Niyo Solutions, covering the core responsibilities and the skills required. It organizes the position overview, detailed tasks, and the technical and analytical competencies expected. The content focuses only on the information provided about the internship duties and the qualifications needed to perform them.
Role overview
The Data Science Intern position at Niyo Solutions involves supporting data-driven work across the organization. The role centers on preparing and analyzing both structured and unstructured data, building and testing statistical and machine learning models, and communicating insights through visualizations and dashboards.
Key responsibilities
- Assist in collecting, cleaning, and preprocessing structured and unstructured data.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop and test statistical and machine learning models.
- Create data visualizations and dashboards to communicate insights.
- Collaborate with cross-functional teams to understand business requirements.
- Document methodologies and present findings to stakeholders.
Requirements and skills
The internship requires foundational knowledge and practical skills to support the listed responsibilities.
- Basic understanding of statistics and machine learning concepts.
- Proficiency in Python or R.
- Familiarity with libraries such as Pandas, NumPy, Scikit-learn (or similar).
- Knowledge of SQL for data querying.
- Strong analytical and problem-solving skills.
In summary, the Data Science Intern at Niyo Solutions is expected to support data collection and preprocessing, conduct EDA, help develop and validate models, create visual outputs, work with cross-functional teams, and document and present analytical work. The role requires basic statistical and machine learning understanding, programming and library familiarity, SQL knowledge, and strong analytical skills.
