Data Science Intern

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About the Internship

Are you fascinated by data, machine learning, and AI-driven solutions? Do you want to gain hands-on experience in solving real-world business challenges using cutting-edge technology? As a Data Science Intern, you’ll work on projects that directly impact business decisions in the AdTech ecosystem, customer analytics, and generative AI applications.

This internship is designed for freshers who are eager to apply their academic knowledge to industry problems. You’ll collaborate with data scientists, engineers, and product managers to design models, analyze data, and deliver insights that power smarter strategies and solutions for clients.

Key Responsibilities

As part of the team, you’ll contribute to both research and development tasks, ensuring real business impact:

• Business Translation: Work closely with stakeholders to translate business requirements into solvable data science problems.
• Algorithm Development: Design and implement algorithms for multi-channel budget and bid optimization, particularly within the Walled Garden AdTech ecosystem.
• Customer Analytics: Develop solutions for customer segmentation, churn prediction, and other predictive models using large-scale datasets.
• Machine Learning: Build and train ML models using Python (Pandas, NumPy, Scikit-learn), focusing on real-world applications like ensemble methods, time series modeling, and boosting techniques.
• Generative AI: Explore and implement solutions with Large Language Models (LLMs) and Generative AI tailored to client needs.
• Continuous Improvement: Document, evaluate, and enhance algorithms and models for better performance and scalability.
• Metrics & Outcomes: Define and track key performance indicators (KPIs) to measure the success of proposed solutions.
• Collaboration: Partner with a cross-functional team of data scientists, engineers, and product managers throughout the product lifecycle.

Skills and Qualifications

We’re looking for motivated learners with a solid foundation in data science concepts:

• Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
• Programming: Proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn.
• SQL: Intermediate-level skills to query, manage, and analyze large datasets.
• Machine Learning Knowledge: Familiarity with techniques such as regularization, boosting, random forests, ensemble methods, and time series modeling.
• AI/ML Exposure: Prior experience or academic projects with LLMs and Generative AI.
• Additional Plus: Knowledge of REST APIs, web services, and production-grade model deployment.
• Soft Skills: Strong problem-solving mindset, excellent written and verbal communication, and the ability to work effectively in a team.

What You’ll Gain

This internship isn’t just about learning — it’s about creating impact. You’ll get:

• Hands-on experience with real-world datasets and business use cases.
• Exposure to AdTech optimization, customer analytics, and generative AI.
• Mentorship from senior data scientists and engineers.
• An opportunity to strengthen your portfolio with projects that blend AI, ML, and business problem-solving.
• A chance to sharpen both your technical expertise and your ability to communicate data insights effectively.

Who Should Apply?

If you’re a fresher with strong technical skills, curiosity for data-driven problem solving, and an eagerness to work on projects that push the boundaries of AI and analytics, we’d love to hear from you.