AI Intern-Strategy Team

Swiggy’s interview process usually starts with a timed online aptitude test, followed by a technical interview focusing on machine‑learning concepts, data‑analysis case studies, and coding. The final HR round assesses cultural fit and communication skills. Candidates should be ready to discuss past projects, solve real‑world data problems, and demonstrate a strategic mindset.

Round 1: Online Aptitude Test → Round 2: Technical Interview (ML concepts, case studies, coding) → Round 3: HR Interview

Swiggy promotes a fast‑paced, merit‑based culture where employees are encouraged to experiment and iterate quickly. The company offers ample learning resources, mentorship programs, and a collaborative environment that balances high impact work with flexibility and work‑life balance.

Graduates (B.Tech/B.E., B.Sc., M.Tech, M.Sc.) in Computer Science, Data Science, Statistics, Engineering or related fields; minimum 60% aggregate or CGPA 6.0/10; batch year 2024‑2026; no active backlogs; strong analytical mindset and good communication skills.

Swiggy, founded in 2014, has rapidly become India’s leading food‑delivery platform, connecting millions of customers with restaurants across more than 500 cities. Backed by strong technology, data‑driven decision making, and a culture that encourages rapid experimentation, Swiggy has expanded its services into grocery, cloud kitchens, and logistics. The company prides itself on a vibrant, inclusive workplace where fresh ideas are welcomed and employees are empowered to own end‑to‑end projects. The AI Intern – Strategy Team role is a three‑month remote internship designed for fresh graduates who are passionate about applying artificial intelligence to solve real business problems. Interns will work closely with senior data scientists, product managers, and business strategists to translate data insights into actionable strategies that improve user experience, optimize delivery operations, and drive growth. This role offers a unique blend of analytical rigor and strategic thinking, providing a solid foundation for a career in AI‑enabled product strategy. Key Responsibilities: 1. Collect, clean, and preprocess large datasets from Swiggy’s operational and user‑behavior logs. 2. Conduct exploratory data analysis to uncover trends, patterns, and anomalies. 3. Build and evaluate predictive models (e.g., demand forecasting, churn prediction) using machine learning techniques. 4. Develop data‑driven recommendations for product and operational improvements. 5. Create visual dashboards and reports to communicate insights to cross‑functional stakeholders. 6. Assist in A/B testing design and analysis to measure the impact of AI‑powered features. 7. Participate in strategy brainstorming sessions, providing quantitative support for decision‑making. 8. Document methodology, code, and findings in a clear, reproducible manner. 9. Stay updated with the latest AI research and suggest innovative applications relevant to Swiggy’s business. 10. Collaborate with the engineering team to prototype and deploy models in a production environment. Tech Stack: Python, Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch, SQL, Tableau/PowerBI, Git, Docker (basic). Growth Path: Successful interns may receive a full‑time offer as a Data Analyst, Business Analyst, or Junior Data Scientist, with clear mentorship and opportunities to work on high‑impact projects across Swiggy’s product lines. Why Join Swiggy: The internship provides exposure to a fast‑moving, data‑centric environment where AI directly influences millions of daily transactions. Interns gain hands‑on experience with real‑world datasets, mentorship from industry experts, and the chance to contribute to strategies that shape the future of food delivery in India.