About Web Secure AI

Web Secure AI Recruitment

Job Role: Data Science Intern

Qualification: Any Graduate

Experience: Fresher

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹9 LPA

Job Location: Remote

Last Date: ASAP

Job Notification Join us on Telegram: Click here

Role Description

As a Data Science Intern, you will work alongside experienced professionals to solve real-world problems using data. You will assist in data collection, analysis, and modeling to uncover insights that drive decision-making across the company. This internship is designed to provide you with practical experience in the field of data science and to help you develop your skills in data analysis, machine learning, and data visualization.

Responsibilities

• Assist in the collection, cleaning, and preprocessing of large datasets.
• Perform exploratory data analysis (EDA) and identify trends, patterns, and insights.
• Develop and implement machine learning models to solve business problems.
• Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.
• Assist in visualizing data insights using tools like Tableau, PowerBI, or Python libraries (Matplotlib, Seaborn).
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Continuously learn about emerging trends and techniques in data science.

Qualifications

• Any Graduate / Pass Outs / Freshers can apply.
• Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Strong knowledge of data analysis techniques and machine learning algorithms.
• Proficiency in Python (Pandas, NumPy, Scikit-learn, etc.) and/or R.
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, or PowerBI).
• Basic knowledge of SQL for querying databases.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and teamwork abilities.
• Self-motivated with a strong desire to learn and grow in the data science field.

Benefits

• Gain hands-on experience working with real-world data.
• Work on meaningful projects that impact the business.
• Learn from a team of experienced data scientists and professionals.
• Flexible work environment and opportunities for personal growth.
• Possibility of full-time employment based on performance.
• Stipend Based.