Sony Off Campus Drive 2026: Apply for the Sony Data Science Internship 2026. Explore eligibility, skills, duration, work location, selection process, and the official application link for freshers in India.
🔍 About Sony:
Sony India Software Centre Private Limited (SISCPL) was set up as a subsidiary of Sony India in the year 1997. Primarily set-up to drive embedded software development, application development, and support, it has been offering cost-effective, high-quality solutions to Sony Group of Companies, worldwide. It has been providing development and support of technology platforms and solutions for Sony globally and is also envisioned to grow as Sony’s Global Competency Centre for Product Engineering and IT Solutions Development. We are looking towards enhancing Sony’s presence and commitment to India, through a focus on building a global technology hub for Sony and supporting its business worldwide.
💼 Job Role: Data Science – Intern
Location: Bangalore (Work From Home)
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📝 Job Description:
- Remote work within India.
- The paid internship will be for six months starting first week of September 2026.
- The working hours are from 9:00 IST to 18:00 IST (Monday to Friday).
Responsibilities:
- Analyze Massive Datasets: Mine, clean, and analyze, high-dimensional user interaction data, identifying latent behavioural structures and transforming noisy signals into highly optimized feature spaces.
- Analyse and Translate data annotations into actionable insights.
- Implement Cutting-Edge Algos: Design, build, and optimize cutting-edge AI/ML models.
- Cross-Functional Collaboration: Serve as the primary connective tissue between core engineering divisions and strategic business units. Translate complex model outputs into transparent operational metrics, ensuring technical decisions strictly align with company KPIs.
- Scale & Deploy: Participate in writing production-ready, clean, and modular code to scale pipelines and model architectures within modern cloud environments.
- Experimentation & Evaluation: Formulate rigorous offline verification frameworks and contribute to online A/B testing methodologies to gauge system performance.
Skills:
- Currently pursuing MS, MTech or an with B.Tech, or advanced Undergraduate degree in Computer Science, Data Science, Statistics, Mathematics, or a parallel quantitative domain.
- Demonstratable skills in AI/ML, specifically Video Analysis algorithms, LLMs.
- Strong grasp of supervised/unsupervised paradigms, loss functions, and bias mitigation.
- Data & Engineering Stack Advanced proficiency in Python and core packages (PyTorch, TensorFlow, Jax, ScikitLearn).
- Experience handling big data via distributed tools (SQL, PySpark, Polars, Arrow)
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📌 Eligibility Criteria
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Qualification: B.E / B.Tech / M.E / M.Tech
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Work Experience: Freshers
✅ How to Apply for Sony Off Campus Drive 2026?
Interested candidates can apply online by clicking the application link below: