Data Science Intern

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 2 weeks ago
0-1 years
Bengaluru / Bangalore, Karnataka
work from office

Posted: 2 weeks ago
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Applicants: 151+
Job Description
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Job Description

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Groups diverse businesses in electronics, entertainment, and financial fields. For our research center to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics.

We are seeking a highly motivated and technically sound AI Intern to help accelerate the next generation of our predictive algorithms and video analysis architectures. In this role, you will transition seamlessly between exploration and execution: parsing complex data, testing frontier machine learning techniques, and translating business hypotheses into robust software assets. You will work on high-impact projects reaching production level infrastructure.

Work Location:

  • Remote work within India.

Duration of the paid internship:

  • 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).

Education:

  • 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.

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.

Must-Have Skills:

  • 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).

Looking to get Placed? Try our Placement Guarantee Plan

Good to Have Skills:

  • Experience handling big data via distributed tools (SQL, PySpark, Polars, Arrow)

Our Values:

Dreams & Curiosity: Pioneer the future with dreams and curiosity.

Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints.

Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct.

Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices.

Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.

Skills

Data AnalyticsBig DataPythonData ScienceMachine LearningAi/mlAnalyticsAiMlSqlLlmsPytorchTensorflow

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Important dates & deadlines?

Application Deadline

01 Nov 26, 05:19 PM IST

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