Outplay Hiring Data Scientist Intern

Eligibility Criteria
Job Role	Data Scientist Intern
Education	Bachelors or Masters
Batch	2023/2024
Branch	Computer Science, Statistics, Mathematics, Operations Research or related field
CTC	Not Disclosed
Experience	0 to 6 Months
Job Location	Hyderabad
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Ongoing Bachelors or Masters in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research or related field with focus on applied Machine Learning, AI, NLP and data-driven statistical analysis & modelling.
Relevant Internships or Projects experience applying AI/ML/NLP/Deep Learning/ data-driven statistical analysis & modelling solutions to multiple domains. Experience in the Sales and Marketing domain is a plus.
Experience in building Natural Language Processing (NLP), Conversational Intelligence, and Virtual Assistants based features.
Excellent grasp on programming languages like Python.
Proficient in analysis using python packages like Pandas, Plotly, Numpy, Scipy, etc.
Strong and proven programming skills in machine learning and deep learning with experience in frameworks such as TensorFlow/Keras, Pytorch, Transformers, Spark etc
Excellent communication skills to explain complex solutions to stakeholders across multiple disciplines.
Experience in SQL, RDBMS, Data Management and Cloud Computing (AWS and/or Azure) is a plus.
Experience of training and deploying different Machine Learning models
Passion for solving AI/ML problems for both textual and voice data.
Fast learner, with great written and verbal communication skills, and be able to work independently as well as in a team environment.

Take AI initiatives for creating new feature prototypes and minimum viable products
Conduct product research and analysis in natural language processing, conversation intelligence, and virtual assistant technologies
Work closely with multiple teams on projects using textual and voice data to build conversational intelligence
Conduct experiments to assess the precision and recall of language processing modules and study the effect of such experiments on different application areas of sales
Collaborate with teams and come up with new ideas for rapid prototyping. Convert prototypes into scalable and efficient products.
Use independent judgment to suggest enhancements in product by using existing data and building AI/ML models