Data Science Intern

The interview process for Data Science Intern at Sony Research India typically involves online application and resume shortlisting, followed by technical coding assessment and research round. The interview questions are challenging and focus on technical skills and problem-solving abilities. It is recommended to practice and improve skills in data analysis, machine learning, and programming to increase chances of selection.

Sony Research India is known for its collaborative and innovative work culture, providing opportunities for growth and development. The company prioritizes work-life balance and offers a dynamic and challenging environment for its employees.

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.

Online Application & Resume Shortlisting (Evaluating portfolio and ML projects). Technical Coding Assessment (Python, Data Structures & Machine Learning). Technical Research Round (Deep dive into PyTorch/TensorFlow models, LLMs, and algorithm design). HR & Internship Onboarding Discussion.

Sony Research India, the global R&D wing of the Sony Group driving innovation in AI, data analytics, and digital technology, has announced an official recruitment notification for SONY Internship 2026. 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. Selected interns will work on a 6-month remote setup across India starting in the first week of September 2026. Eligible candidates interested in cutting-edge AI/ML predictive algorithms and Large Language Models (LLMs) are encouraged to apply online as soon as possible. Join Our WhatsApp Channel for Free Job Alerts Join Our Telegram Group for Free Job Alerts SONY Internship 2026 Overview Internship Parameter Specifications Hiring Organization Sony Research India Private Limited Designated Role Data Science Intern Job Category Data Science / AI & Machine Learning / Paid Internship Educational Qualification B.E / B.Tech / M.E / M.Tech / MS (CS / DS / Stats / Math) Experience Level Freshers / Students / Experienced candidates Internship Duration 6 Months (Starting 1st Week of September 2026) Shift / Working Hours 09:00 IST – 18:00 IST (Monday to Friday) Stipend Best in Industry (Competitive Paid Internship) Work Location Remote (Work from Anywhere in India) / Bengaluru HQ Application Deadline Apply As Soon As Possible (ASAP) About Sony Research India Sony Research India was established as part of Sony’s Global R&D Organization to drive pioneering research in artificial intelligence, computer vision, data analytics, and machine learning. Collaborating across entertainment, healthcare, gaming, and mobility solutions, Sony Research India empowers researchers and engineers to turn experimental concepts into real-world production architectures. Interning at Sony Research India gives students direct mentorship under top global research scientists and hands-on experience on high-impact projects. Role Summary & Key Responsibilities As a Data Science Intern at Sony Research India, you will work directly on advancing predictive algorithms, multi-modal architectures, and video analysis pipelines. You will move fluidly between empirical research and production software execution. Discover more Intern Off Campus Job engineering Key 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. About Sony Research India Sony Research India was established as part of Sony’s Global R&D Organization to drive pioneering research in artificial intelligence, computer vision, data analytics, and machine learning. Collaborating across entertainment, healthcare, gaming, and mobility solutions, Sony Research India empowers researchers and engineers to turn experimental concepts into real-world production architectures. Interning at Sony Research India gives students direct mentorship under top global research scientists and hands-on experience on high-impact projects. Role Summary & Key Responsibilities As a Data Science Intern at Sony Research India, you will work directly on advancing predictive algorithms, multi-modal architectures, and video analysis pipelines. You will move fluidly between empirical research and production software execution. Discover more Intern Off Campus Job engineering Key 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.