Data Science Intern

About the role

Sony Research India is inviting online applications for the position of Data Science Intern. This paid internship is open to students currently pursuing or possessing B.E / B.Tech, M.E / M.Tech, or MS degrees in Computer Science, Data Science, Statistics, Mathematics, or parallel quantitative streams.

Responsibilities

• Analyze Massive Datasets: Mine, clean, and analyze high-dimensional user interaction data, identifying latent behavioral structures and converting noisy data signals into feature spaces.
• Data Annotations & Insights: Evaluate data annotations and translate complex analytical findings into actionable technical recommendations.
• Implement Cutting-Edge Algorithms: Design, build, and optimize state-of-the-art AI/ML models including Large Language Models (LLMs) and video analysis algorithms.
• Cross-Functional Collaboration: Act as technical tissue connecting core engineering divisions with strategic business units, aligning technical model outputs with business KPIs.
• Scale & Deploy: Write production-ready, clean, modular Python code to scale algorithms and pipeline architectures in modern cloud environments.
• Experimentation & Evaluation: Formulate offline verification frameworks and contribute to online A/B testing methodologies to assess model accuracy and efficiency.

Eligibility

• Currently pursuing or completed B.E / B.Tech, M.E / M.Tech, or MS degrees in Computer Science, Data Science, Statistics, Mathematics, or parallel quantitative disciplines.
• Demonstrable expertise in AI/ML paradigms, specifically Video Analysis algorithms and Large Language Models (LLMs).
• Strong theoretical and practical grasp of supervised/unsupervised learning, custom loss functions, and model bias mitigation techniques.
• Advanced proficiency in Python and foundational framework libraries: PyTorch, TensorFlow, Jax, and Scikit-Learn.

Skills

• AI/ML paradigms
• Video Analysis algorithms
• Large Language Models (LLMs)
• Python
• PyTorch
• TensorFlow
• Jax
• Scikit-Learn

Benefits

• Best in Industry stipend
• Opportunity to work with top global research scientists
• Hands-on experience on high-impact projects