Are you passionate about artificial intelligence and eager to gain experience in a fast-paced research environment? Then look no further! Sony Research India is offering a Data Science Internship for a motivated individual to join their team.
Job Description
As a Data Science Intern at Sony Research India, you will collaborate with experienced researchers on cutting-edge projects in causal recommendation systems. You will be responsible for tasks such as:
- Analyzing complex datasets to identify patterns and trends.
- Developing and testing innovative algorithms to improve recommendation systems.
- Reading and implementing research papers on the latest advancements in causal inference.
This internship is a fantastic opportunity to gain practical experience in the field of data science, while also contributing to impactful research at a world-renowned company.
Eligibility
- Master’s or Bachelor’s degree in a relevant field (computer science, statistics, mathematics, etc.)
- Prior experience with data analysis and programming is preferred.
Skills Required
- Strong proficiency in Python 3.x
- Solid understanding of Deep Learning and Transformers
- Experience with PyTorch, TensorFlow, and Git repositories
- Research experience with the ability to grasp and implement findings from research papers
Good to Have Skills
- Knowledge of causal inference and various neural networks.
- Experience working with recommender systems.
- Ability to conduct literature surveys and synthesize research ideas.
Location
- Remote work within India.
Stipend/Pay
- The internship is paid, with details not mentioned in the listing.
Benefits
- Opportunity to work on cutting-edge research projects with leading experts in the field.
- Gain valuable experience in data science and artificial intelligence.
- Work in a dynamic and collaborative research environment.
- Become part of a team that is pushing the boundaries of technology.
Apply Here
If you are interested in applying for the Data Science Internship at Sony Research India, you can find more information and submit your application on LinkedIn.
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