Sony Research India Data Science Intern Hiring 2026 | Work From Home

1) Job Summary

• Company: Sony Research India

• Job Title: Data Science Intern

• Job Category: Data Science, Artificial Intelligence and Machine Learning

• Job Location: Remote, India

• Employment Type: Internship

• Duration: Six months

• Expected Start Date: First week of November 2026

• Working Hours: 9:00 AM to 6:00 PM IST, Monday to Friday

• Compensation: Paid internship; stipend amount not specified in the posting

• Eligible Candidates: Students pursuing relevant undergraduate or postgraduate studies

• Application Mode: LinkedIn Easy Apply, as shown in the listing

Applicants should confirm the latest availability and any additional requirements through the original job posting before applying.

2) Job Description

The Data Science Intern will contribute to research and development projects involving predictive algorithms, advanced analytics, and machine learning systems. The position emphasizes experimentation, model development, optimization, and collaboration with engineering and research teams.

Key responsibilities include:

• Data Analysis: Examine large and high-dimensional user interaction datasets to identify behavioural patterns, latent variables, and useful signals.

• Machine Learning: Analyse and translate data insights into actionable findings that support business and research objectives.

• Model Development: Implement and optimize machine learning models, including supervised and unsupervised learning approaches.

• Algorithm Research: Explore and experiment with cutting-edge AI algorithms, loss functions, and bias mitigation techniques.

• Research Collaboration: Work with engineering teams and strategic business units to translate research findings into practical solutions.

• Model Deployment: Participate in writing production-ready code and developing scalable pipelines and model architectures.

• Testing and Evaluation: Conduct experiments, perform offline verification, and contribute to online A/B testing methodologies to assess system performance.

This internship may be particularly valuable for students who enjoy combining mathematical reasoning, programming, experimentation, and applied AI research.

3) Eligibility Criteria

According to the job listing, candidates should meet the following educational and technical expectations.

Educational qualifications

Applicants should be currently pursuing an MS, MTech, BTech, or an advanced undergraduate degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative discipline.

Must-have technical skills

• Demonstrable understanding of machine learning algorithms, video analysis algorithms, and LLMs.

• Strong understanding of supervised and unsupervised learning, loss functions, and bias mitigation.

• Proficiency in Python and relevant machine learning frameworks, including PyTorch, TensorFlow, JAX, and Scikit-learn.

• Ability to analyse datasets, implement algorithms, and evaluate model performance.

Good-to-have skills

Experience working with distributed data tools and technologies such as SQL, PySpark, Polars, Pandas, and Arrow may be beneficial.

Who Should Apply?

This opportunity is worth considering for:

• Students pursuing relevant degrees who want hands-on AI and data science research experience.

• Candidates with practical experience developing machine learning models.

• Students who have completed academic projects involving video analysis, LLMs, predictive modelling, or statistical analysis.

• Applicants comfortable with Python, experimentation, and mathematical problem-solving.

Who May Not Be a Good Fit?

This role may not be suitable for candidates who:

• Do not meet the educational requirements specified in the listing.

• Have limited understanding of machine learning fundamentals or Python programming.

• Prefer a non-technical role without research, experimentation, or model development.

• Cannot commit to the stated working schedule and six-month internship duration.

These points are practical considerations, not additional official eligibility rules.

4) What Should Be Highlighted in the Resume?

Candidates should prepare a concise, technically focused resume tailored to the position.

Recommended resume sections:

• Education: Mention your degree, specialization, institution, and expected graduation date.

• Technical Skills: List Python, SQL, PyTorch, TensorFlow, JAX, Scikit-learn, and relevant data-processing tools you can use confidently.

• Machine Learning Projects: Describe projects involving classification, regression, clustering, video analysis, or LLM applications.

• Research Experience: Highlight academic research, experiments, model evaluation, and optimization work, if applicable.

• Project Results: Explain the dataset, methodology, evaluation metrics, and measurable outcomes of each project.

• GitHub or Portfolio: Include working project links, clear documentation, and reproducible code where available.

Avoid listing tools you have never used. A well-explained project with genuine technical contributions is more useful than an inflated list of skills.

5) What Candidates Should Expect During the Recruitment Process (Selection Process)

The LinkedIn screenshot does not specify Sony Research India’s complete selection procedure. The following stages are possibilities, not confirmed steps for this vacancy.

1. Application Screening: Recruiters may evaluate educational qualifications, relevant skills, projects, and research experience.

2. Technical Assessment: Candidates may be asked to solve Python problems, discuss algorithms, or demonstrate machine learning knowledge.

3. Technical Interview: Questions may cover statistics, supervised and unsupervised learning, model evaluation, loss functions, and LLM fundamentals.

4. Project Discussion: Applicants may need to explain their project choices, implementation decisions, experimental results, and challenges.

5. Final Evaluation: The employer may assess role suitability, availability, and readiness for the internship.

Candidates should prepare their project explanations and revise core concepts in Python, statistics, machine learning, and model evaluation.

6) About the Company

Sony Research India Private Limited is part of Sony’s global research and development ecosystem. The company description in the LinkedIn listing highlights research opportunities in areas including artificial intelligence, entertainment, healthcare, music, and gaming.

Its research activities aim to explore emerging technologies and develop solutions that can contribute to future products and services. For aspiring data scientists, this research-oriented environment may provide exposure to challenging technical problems and collaborative development.

7) Why Join This Company?

Potential benefits of this internship include:

• Research Exposure: An opportunity to contribute to AI and machine learning research projects.

• Practical Experience: Exposure to data analysis, algorithm implementation, model optimization, and experimentation.

• Technical Development: Opportunities to apply Python and machine learning frameworks to real-world research problems.

• Collaborative Learning: Experience working with research and engineering teams.

• Remote Work: The listing specifies a remote working arrangement within India.

• Paid Internship: The position is advertised as paid, although the stipend amount is not disclosed.

The actual learning experience, responsibilities, and compensation will depend on the employer’s final terms.

8) Frequently Asked Questions (FAQ)

Q1. Is Sony Research India hiring Data Science Interns in 2026?

The LinkedIn listing shared here advertises a Data Science Intern position. Check the original listing to confirm whether applications remain open.

Q2. Is this internship open to freshers?

Students pursuing the relevant qualifications may be eligible. The listing focuses on educational background and technical skills rather than requiring a specified number of years of full-time experience.

Q3. Is the internship paid?

Yes. The listing describes it as a paid internship, but the stipend amount is not mentioned.

Q4. What is the duration of the internship?

The advertised duration is six months, starting in the first week of November 2026.

Q5. Is the job remote?

Yes. The listing specifies remote work within India.

Q6. Which programming languages and tools are important?

Python and frameworks such as PyTorch, TensorFlow, JAX, and Scikit-learn are highlighted. SQL, PySpark, Pandas, Polars, and Arrow are listed as useful additional skills.

Q7. How can I apply for this internship?

Visit the original LinkedIn job posting and follow the application instructions. Complete the application accurately and submit an updated resume.

Q8. Is the stipend or salary amount available?

The screenshot does not disclose the stipend amount. Applicants should confirm compensation details with the employer during the recruitment process.

How to Apply for Sony Research India Data Science Intern Recruitment 2026

Interested candidates can review the official LinkedIn job listing and apply through the available application option.

Application Link: https://www.linkedin.com/jobs/view/4478080141/

Before applying, verify the vacancy status, eligibility requirements, internship duration, and compensation details. Applicants should use the original listing to confirm any updates and avoid paying fees to individuals claiming to guarantee selection.

How to Apply?

• Interested candidates meeting the eligibility criteria have to apply at the following link:

Apply Online

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