Data Science Intern

Carrerlift; India; Remote; INR 167,000 - 279,000; Part time

Benefits offered by this job

Paid internship

Job summary

Sony offers a remote internship opportunity in India to work on predictive modelling and video-analysis research. You will join a team turning experiments toward production, building modular cloud-based pipelines and translating models into business metrics.

The role emphasizes Python-based development with PyTorch, TensorFlow, Jax and ScikitLearn, plus exposure to SQL, PySpark and related tools. Six-month remote tenure starting November 2026.

Qualifications

• Pursue MS, MTech, BTech or advanced undergraduate study in quantitative fields.
• Demonstrate video-analysis and LLM skills.
• Understand supervised and unsupervised learning and loss functions.

Responsibilities

• Clean large, high-dimensional datasets and engineer features.
• Turn annotation data into practical findings.
• Develop and improve AI/ML algorithms.
• Translate model results into operational metrics aligned with KPIs.
• Produce modular code for cloud-based pipelines and deployment.
• Develop offline evaluation methods and support online experiments.

Skills

Python

PyTorch

TensorFlow

Jax

ScikitLearn

LLM skills

Video analysis

Education

MS / MTech / BTech or advanced undergrad in computing, data science, statistics, mathematics

Tools

SQL

PySpark

Polars

Arrow

Job description

About the opportunity

• Support predictive modelling and video-analysis research, taking experiments toward production infrastructure.
• Sony's international research supports electronics, entertainment and finance through new technologies, products and services.

What you'll do

• Clean large, high-dimensional interaction datasets, uncover behavioural patterns and engineer useful features.
• Turn annotation data into practical findings.
• Develop and improve AI/ML algorithms.
• Connect engineering and business teams, translating model results into operational metrics aligned with KPIs.
• Produce modular code for cloud-based pipelines and model deployment.
• Develop offline evaluation methods and contribute to online A/B experiments.

Required background

• Pursue MS, MTech, BTech or advanced undergraduate study in computing, data science, statistics, mathematics or a comparable quantitative subject.
• Demonstrate video-analysis and LLM skills.
• Understand supervised and unsupervised learning, loss functions and bias reduction.
• Use Python confidently with PyTorch, TensorFlow, Jax and ScikitLearn.
• Distributed-data experience using SQL, PySpark, Polars or Arrow is advantageous.

Practical details

• Work remotely from India for six months, beginning in November 2026's first week.
• Hours are 9:00–18:00 IST, Monday–Friday; the internship is paid, without a disclosed amount.

The organisation values curiosity, diversity, integrity and sustainability, and follows equal-opportunity practices.