Data Science Intern

Collaboration with cross-functional teams, including Marketing, IT, and Operations, will be essential as you work to understand data requirements and deliver meaningful insights. Additionally, you will have the opportunity to create informative dashboards and visualizations using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to effectively communicate findings to stakeholders.

Ensuring data accuracy through tasks such as cleaning, preprocessing, and validation using SQL and scripting languages will be a key aspect of your role. Staying abreast of the latest tools, technologies, and trends in data science and deep learning will also be important as you continuously enhance your skills and knowledge in the field.

Preferred qualifications for this position include currently pursuing or recently completing a degree in Data Science, Computer Science, Statistics, or related fields, a solid foundation in statistics, machine learning, deep learning, and data modeling, proficiency in Python or R programming, experience with data visualization tools, familiarity with SQL and database management, knowledge of cloud platforms like AWS, Azure, or Google Cloud (a plus), strong problem-solving abilities, and keen attention to detail.

As part of our team, you can expect hands-on experience with real-world datasets and projects, mentorship from experienced data science professionals, and the potential for full-time employment based on performance. This internship opportunity is open to freshers and has a duration of 3 months. If you are passionate about data science and analytics, apply now for this exciting role!

Job Types: Full-time, Fresher, Internship

Benefits:

• Flexible schedule
• Provident Fund

Education: Bachelor's (Preferred)

Work Location: In person,