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About the role
About the internship: As a Data Science intern at Maxgen Technologies Private Limited, you will have the opportunity to apply your knowledge of Machine Learning, Data Science, Deep Learning, and Python in a dynamic and innovative environment. You will work closely with our team of experienced data scientists to develop and implement cutting-edge solutions to complex business problems. 1. Conduct data analysis and interpretation to identify trends and patterns 2. Develop and optimize machine learning models for predictive analytics 3. Collaborate with cross-functional teams to integrate data-driven insights into business processes 4. Assist in the design and implementation of data pipelines for efficient data collection and storage 5. Perform exploratory data analysis to uncover hidden insights and opportunities 6. Stay up-to-date on the latest trends and advancements in data science and machine learning 7. Present findings and recommendations to key stakeholders in a clear and concise manner. If you are passionate about data science and eager to gain hands-on experience in a fast-paced environment, we encourage you to apply for this exciting opportunity at Maxgen Technologies Private Limited. Who can apply: Only those candidates can apply who: are available for the part time job/internship can start the part time job/internship between 5th Jul'26 and 9th Aug'26 are available for duration of 3 months have relevant skills and interests Stipend: INR₹ 5,000 - 12,000 /month Deadline: 2026-08-04 23:59:59 Other perks: Certificate, Letter of recommendation, 5 days a week Skills required: Python, Machine Learning, Data Science and Deep Learning About Company: Maxgen Technologies Private Limited (MNC) conducts web design & development, SAP professional (FICO, MM, ABAP, and SD), and corporate training in PHP/MySQL, WordPress, ASP.NET, Java framework technology, and Android mobile application. Maxgen Technologies (MNC) also provides web development, e-commerce & SEO (search engine optimization) & maintenance services for existing sites.
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