Full Stack, Data Science & AI Intern

Company: DataAbhyas

Recruitment team: Data Abhyas Solutions

Employment type: Full-time internship

Work arrangement: Remote for now

Compensation: Paid internship, with compensation determined by the candidate’s profile, relevant skills, and demonstrated abilities.

About DataAbhyas

Where knowledge becomes capability.

DataAbhyas is building a learning ecosystem that helps individuals and teams turn technical knowledge into practical skills. Our focus spans data science, data engineering, full stack development, cloud computing, generative AI, and AI agents, with responsible AI and real-world problem-solving woven into the learning experience.

Our approach brings together structured learning paths, practical exercises, projects, and corporate training. We want learners to understand how technology works, build with it confidently, and apply it to meaningful problems. That same philosophy shapes how we approach our work: stay curious, build thoughtfully, seek feedback, and improve through practice.

About the Role

We are looking for a curious and motivated Full Stack, Data Science & AI Intern to help develop learning-platform features and practical applications that connect software engineering, data, and AI. You will contribute to scoped projects—from building interfaces and APIs to exploring datasets and evaluating AI capabilities—while developing your ability to turn an idea into a working solution. This role suits someone who enjoys learning by building and can demonstrate initiative through coursework, personal projects, or previous experience.

Key Responsibilities

- Build and improve responsive interfaces, forms, dashboards, and workflows that support learners and platform operations.
- Help implement APIs, integrate frontend and backend components, and work with databases to store and retrieve information reliably.
- Clean, validate, and analyze datasets using Python and SQL, documenting assumptions and identifying data-quality issues.




- Create explicit visualizations and concise explanations that connect analysis to a practical question or product decision.
- Support machine learning experiments: establish baselines, prepare training and evaluation data, compare results, and document model limitations.
- Prototype features involving language models, document retrieval, or AI-assisted workflows, with attention to output quality and usefulness.
- Reproduce issues, debug application components, write appropriate tests, and respond constructively to review feedback.
- Maintain readable code, share progress, raise blockers early, and explain technical choices clearly.
- Follow project guidance for data access, credentials, privacy, and the use of external AI services.

Assignments will build progressively on your strengths. The role calls for sound fundamentals and willingness to learn across these areas.

Required Qualifications

- Foundational programming ability in Python and JavaScript, demonstrated through coursework, projects, or practical experience.
- Familiarity with HTML, CSS, and basic frontend development, including building a simple interface that accepts input and displays results.
- Basic understanding of HTTP, REST APIs, JSON, and client-server applications.
- Working knowledge of SQL and fundamental database concepts.
- Some experience manipulating or analyzing data with pandas, NumPy, or an equivalent library.
- Understanding of introductory statistics and machine learning concepts, including training versus evaluation data and the purpose of model evaluation.
- Familiarity with Git for tracking and sharing code.
- Ability to break a problem into manageable steps, investigate errors, and explain what you tried.
- Clear written communication, dependable follow-through, and openness to feedback.





Prior full-time employment is not necessary. Academic work, independent projects, hackathons, and open-source contributions can demonstrate relevant ability.

Preferred Qualifications

- Experience with React, TypeScript, or a similar frontend framework.
- Exposure to FastAPI, Flask, Django, or Node.js for backend development.
- Experience with scikit-learn, PyTorch, or TensorFlow.
- Familiarity with language-model APIs, embeddings, retrieval-augmented generation, or structured model outputs.
- Exposure to cloud deployment, Docker, automated testing, or continuous integration.
- Interest in education technology, learning analytics, accessibility, or responsible AI.
- A project you can walk through clearly, including its purpose, your contribution, technical decisions, and lessons learned.

Relevant certifications are welcome, but practical understanding and evidence of learning matter more.

What We Offer

- A paid internship, with compensation based on your profile, relevant skills, and demonstrated abilities.
- A remote working arrangement for now.
- Practical experience contributing to a learning platform and applications with a clear educational purpose.
- Opportunities to connect frontend development, backend systems, data analysis, and AI within meaningful projects.
- Scope to develop problem-solving, documentation, and technical communication skills alongside implementation skills.
- Opportunities to suggest improvements and take ownership of well-defined work.
- A focus on continuous learning, thoughtful experimentation, and improving through feedback.

How to Apply

Apply through this LinkedIn job listing with your résumé and, if available, links to relevant projects or a portfolio. Include a short description of something you built or analyzed: what problem it addressed, what you contributed, and what you learned.

We welcome candidates who can show curiosity, effort, and solid foundations, even if their experience does not cover every preferred qualification.

📌 Full Stack, Data Science & AI Intern (India)
🏢 DataAbhyas
📍 India