Data Scientist

DATA SCIENCE INTERN

Company: NexalIIT

Duration: 3 Months

Stipend: Up to 10,000 (Performance-Based)

Type: Paid, Remote Internship

About the Company

NexalIIT is offering a structured remote internship for freshers who want to begin a career in data science. The internship provides practical exposure to data collection, preprocessing, exploratory data analysis, statistical analysis, machine learning, and data visualization through hands-on projects.

Responsibilities

• Collect, clean, preprocess, and organize datasets from relevant sources.
• Perform exploratory data analysis to identify trends, patterns, relationships, and insights.
• Use Python and libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.
• Assist in developing, training, and evaluating machine learning models.
• Apply basic statistical techniques to analyze datasets and support data-driven decisions.
• Create meaningful charts, visualizations, and reports to communicate analytical findings.
• Work with SQL to extract, filter, join, and analyze data from databases.
• Assist in feature engineering and data preparation for machine learning projects.
• Evaluate model performance using appropriate metrics and document results.
• Identify data quality issues and assist in improving the accuracy and reliability of datasets.
• Document analysis processes, methodologies, experiments, and project findings clearly.
• Research relevant data science tools, techniques, and industry applications.
• Collaborate with remote team members and complete assigned projects and deliverables on time.

Requirements

• Suitable for freshers with an interest in Data Science, Machine Learning, Data Analytics, Statistics, Computer Science, or a related area.
• Basic knowledge of Python programming.
• Familiarity with Pandas, NumPy, Matplotlib, and Seaborn is beneficial.
• Basic understanding of statistics, probability, and data analysis concepts.
• Basic knowledge of SQL and database concepts.
• Understanding of machine learning fundamentals is beneficial.
• Familiarity with Scikit-learn and basic machine learning algorithms is beneficial.
• Basic understanding of data visualization and exploratory data analysis.
• Familiarity with Git and version control is beneficial.
• Strong analytical thinking, logical reasoning, problem-solving ability, attention to detail, and willingness to learn.
• Good written and verbal communication skills.
• Ability to work independently in a remote environment while managing deadlines responsibly.

This is a paid, remote internship with a duration of 3 months and a performance-based stipend of up to 10,000.