AI and Data Science Intern

Role Overview: As an intern at WNS, you will assist in synthetic data generation, data preparation, and evaluation activities that support the development and testing of AI and Generative AI solutions. This role offers a hands-on experience with modern AI technologies, datasets, and research workflows in an enterprise environment. Your responsibilities will include generating and curating synthetic datasets for AI and machine learning use cases, assisting in data collection, cleaning, validation, and preparation activities, supporting the evaluation and benchmarking of AI model outputs, developing simple Python scripts to automate data processing tasks, documenting findings, observations, and experiment results, and collaborating with AI researchers and engineers on assigned tasks. Key Responsibilities: - Generate and curate synthetic datasets for AI and machine learning use cases. - Assist in data collection, cleaning, validation, and preparation activities. - Support the evaluation and benchmarking of AI model outputs. - Develop simple Python scripts to automate data processing tasks. - Document findings, observations, and experiment results. - Collaborate with AI researchers and engineers on assigned tasks. Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field. - Basic programming knowledge in Python. - Familiarity with data handling using tools such as Pandas and Excel. - Strong analytical and problem-solving skills. - Good written and verbal communication skills. - Eagerness to learn and explore AI technologies. (Note: There are no additional details about the company in the job description.) Role Overview: As an intern at WNS, you will assist in synthetic data generation, data preparation, and evaluation activities that support the development and testing of AI and Generative AI solutions. This role offers a hands-on experience with modern AI technologies, datasets, and research workflows in an enterprise environment. Your responsibilities will include generating and curating synthetic datasets for AI and machine learning use cases, assisting in data collection, cleaning, validation, and preparation activities, supporting the evaluation and benchmarking of AI model outputs, developing simple Python scripts to automate data processing tasks, documenting findings, observations, and experiment results, and collaborating with AI researchers and engineers on assigned tasks. Key Responsibilities: - Generate and curate synthetic datasets for AI and machine learning use cases. - Assist in data collection, cleaning, validation, and preparation activities. - Support the evaluation and benchmarking of AI model outputs. - Develop simple Python scripts to automate data processing tasks. - Document findings, observations, and experiment results. - Collaborate with AI researchers and engineers on assigned tasks. Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field. - Basic programming knowledge in Python. - Familiarity with data handling using tools such as Pandas and Excel. - Strong analytical and problem-solving skills. - Good written and verbal communication skills. - Eagerness to learn and explore AI technologies. (Note: There are no additional details about the company in the job description.)