Data Science

About the internship We are looking for a passionate Data Science intern to join our team at Ionots Technologies Private Limited. If you have a strong background in Python, Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Data Analytics, and Natural Language Processing (NLP), then this opportunity is for you! As an intern, you will have the chance to work on cutting-edge projects and gain hands-on experience in the field of data science. Selected intern's day-to-day responsibilities include: 1. Develop and implement machine learning models to analyze and extract insights from large datasets. 2. Collaborate with data engineers to preprocess and clean data for analysis. 3. Use NLP techniques to analyze text data and develop sentiment analysis models. 4. Assist in the development of AI algorithms for various applications. 5. Conduct statistical analysis and visualizations to present findings to the team. 6. Stay updated on the latest trends and advancements in data science and AI. 7. Work closely with senior data scientists to contribute to ongoing projects and initiatives. If you are eager to learn, curious about data science, and ready to take on new challenges, apply now to be a part of our dynamic team! Who can apply Only those candidates can apply who: 1. are available for the work from home job/internship 2. can start the work from home job/internship between 2nd Dec'24 and 6th Jan'25 3. are available for duration of 6 months 4. have relevant skills and interests * Women wanting to start/restart their career can also apply. IONOTS has made a deep presence in the areas of governance, risk, compliance, and security assessments across the globe and has supported multiple organizations in demonstrating compliance to reasonable security practices across industries such as technology, media, telecommunication, retail, FMCG, banking and financial services and many more. We help organizations comply with regulatory and contractual requirements and improve internal processes supporting information security.