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About the role
Job Code: BTL-2507105 Job title: Data Science Intern Experience : Fresher Mode : Work From Office Location : Hyderabad Duration: 6 Months Stipend : 3 months unpaid and another 3 months paid Website : LinkedIn Page: Responsibilities: Assist in the development and implementation of data-driven solutions to complex business problems. Conduct data analysis and modelling to identify trends, patterns, and insights. Clean, prepare, and process large datasets for analysis. Collaborate with cross-functional teams to identify and optimise business opportunities. Develop and maintain data pipelines and tools for efficient data ingestion, processing, and visualisation. Present findings and recommendations to key stakeholders in a clear and concise manner. Stay informed on the latest trends and advancements in the field of data science. Requirements: Should be familiar with NLP, Generative AI, LLMs, RAG (preferable) Strong analytical thinking and problem-solving skills. Proficiency in programming languages such as Python and R. Knowledge of Pandas, Scikit learn, Tensorflow. PyTorch. Experience with data preprocessing, cleansing, and validation techniques. Familiarity with data visualization tools and libraries. Strong written and verbal communication skills. Ability to work independently and collaboratively in a fast-paced environment. Attention to detail and ability to handle multiple projects simultaneously. Education: Currently pursuing a Bachelor's or Master's degree in (Data Science / Computer Science / Statistics / or a related field. Benefits Opportunity to learn from experienced professionals. Exposure to real-world projects. Potential for full-time employment after successful completion of the internship. Job Code: BTL-2507105 Job title: Data Science Intern Experience : Fresher Mode : Work From Office Location : Hyderabad Duration: 6 Months Stipend : 3 months unpaid and another 3 months paid Website : LinkedIn Page: Responsibilities: Assist in the development and implementation of data-driven solutions to complex business problems. Conduct data analysis and modelling to identify trends, patterns, and insights. Clean, prepare, and process large datasets for analysis. Collaborate with cross-functional teams to identify and optimise business opportunities. Develop and maintain data pipelines and tools for efficient data ingestion, processing, and visualisation. Present findings and recommendations to key stakeholders in a clear and concise manner. Stay informed on the latest trends and advancements in the field of data science. Requirements: Should be familiar with NLP, Generative AI, LLMs, RAG (preferable) Strong analytical thinking and problem-solving skills. Proficiency in programming languages such as Python and R. Knowledge of Pandas, Scikit learn, Tensorflow. PyTorch. Experience with data preprocessing, cleansing, and validation techniques. Familiarity with data visualization tools and libraries. Strong written and verbal communication skills. Ability to work independently and collaboratively in a fast-paced environment. Attention to detail and ability to handle multiple projects simultaneously. Education: Currently pursuing a Bachelor's or Master's degree in (Data Science / Computer Science / Statistics / or a related field. Benefits Opportunity to learn from experienced professionals. Exposure to real-world projects. Potential for full-time employment after successful completion of the internship.