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Role Summary:

We seek an analytical and enthusiastic AI & Data Science Intern to support building the intelligence core of our Transformation Intelligence Platform. You will actively develop and deploy predictive analytics, machine learning models, and intelligent algorithms that power real-time insights, proactive recommendations, and intelligent agent interactions.

Key Responsibilities:

• Design, develop, and deploy predictive models and algorithms to identify patterns, trends, and opportunities within enterprise datasets.
• Assist in creating and maintaining a structured data pipeline and data lakes, ensuring high-quality input for AI models.
• Work closely with the Full-Stack Development Intern to integrate AI-driven insights and models into the platform.
• Perform data preprocessing, feature engineering, model training, validation, and performance optimization.
• Document clearly the methodologies, assumptions, and outcomes of analytical models and solutions.
• Collaborate on building interactive dashboards and visual analytics to communicate insights clearly.
• Research and prototype cutting-edge AI technologies (such as generative AI, NLP, neural networks) to support advanced intelligence capabilities.

Technical Skills & Qualifications:

• Currently pursuing a degree in Data Science, Machine Learning, AI, Computer Science, Statistics, or related fields.
• Experience with data science and machine learning frameworks (Python, TensorFlow, Keras, PyTorch).
• Familiarity with data analytics tools and platforms (Jupyter, Pandas, Scikit-learn, NumPy).
• Experience with databases (SQL & NoSQL) and data visualization tools (Tableau, Power BI, matplotlib, seaborn).
• Understanding of AI algorithms, predictive modeling techniques, and statistical analysis.
• Basic experience with cloud computing platforms (AWS, Azure, Google Cloud).
• Comfortable working with large, diverse datasets.

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent written and verbal communication, clearly articulating complex analytical findings to stakeholders.
• Passion for AI/ML, innovation, and driving business outcomes through data.

Learning Opportunities:

• Practical experience developing real-world AI/ML models for business use cases.
• Exposure to sophisticated predictive analytics and data-driven decision-making frameworks.
• Mentorship from senior data scientists, solution architects, and business strategists.

Duration:

• 3-6 month internship