Data Scientist

Skills:
Statistical Analysis, Machine Learning, Data Visualization, Python Programming, Big Data, Predictive Modeling, Data Mining, Quantitative Analysis,

About Websecure AI

Websecure AI is a leading company dedicated to advancing artificial intelligence (AI) solutions in the field of web security. We specialize in using cutting-edge AI techniques to develop intelligent, secure, and scalable web applications. As part of our commitment to innovation and growth, we are looking for a Data Science Intern to join our team. This internship offers a unique opportunity to work on exciting data-driven projects and gain hands-on experience in the field of AI and data science.

Position Overview

As a Data Science Intern at Websecure AI, you will be exposed to real-world applications of data science and AI, particularly in the context of web security. You will assist our team in analyzing large datasets, building predictive models, and leveraging AI algorithms to drive business insights and enhance security solutions. This is a great opportunity for aspiring data scientists to build their skills and contribute to meaningful projects.

Key Responsibilities

Assist in collecting, cleaning, and preprocessing large datasets for analysis

Help build and evaluate predictive models and machine learning algorithms

Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights

Collaborate with the AI and engineering teams to develop data-driven solutions

Contribute to the design and implementation of data pipelines and automated processes

Assist in visualizing and presenting data findings to stakeholders

Research and experiment with new data science methodologies, techniques, and tools

Learn and apply AI-based techniques to improve web security applications

Skills & Qualifications

Strong foundation in statistics, data analysis, and machine learning

Proficiency in programming languages such as Python (preferred), R, or similar

Experience with data analysis and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn, etc.)

Familiarity with machine learning frameworks such as TensorFlow, Keras, or Scikit-learn

Understanding of databases and SQL

Strong problem-solving skills and ability to work with large, complex datasets

Ability to learn quickly and adapt to new tools and technologies

Excellent communication skills and ability to present data-driven insights

Currently pursuing or recently graduated with a degree in Data Science, Computer Science, Mathematics, or a related field

Benefits

Internship Certificate

Letter of Recommendation

Performance-Based Stipend

Part-time work from home (2-3 hours per day)

5 days a week, fully flexible shift

Desired Skills and Experience

Statistical Analysis, Machine Learning, Data Visualization, Python Programming, Big Data, Predictive Modeling, Data Mining, Quantitative Analysis