Data Science Intern - Dexter's Tech | Remote, Paid Internship

FreshieHire Author
Salary
7.5-15K PM
Location
Remote

Highlights

Collect, preprocess, analyze large datasets; perform EDA; build ML models & dashboards; potential full-time role based on performance.




Description

Dexter’s Tech is currently seeking talented Data Science Interns for a 3-month remote program that offers valuable hands-on experience and industry-relevant learning. As an intern, you will have the opportunity to work on real-world projects, contributing to analytics, statistics, and machine learning initiatives. You will be involved in collecting, preprocessing, and analyzing large datasets while performing Exploratory Data Analysis (EDA) to uncover meaningful insights.

Additionally, you will build predictive models and machine learning algorithms, creating data visualizations and dashboards for effective storytelling. Collaboration with cross-functional teams is essential to deliver data-driven solutions that address real-world business challenges.

To excel in this role, you must be currently enrolled in or graduated from a Data Science, Computer Science, Statistics, or related field. Proficiency in Python or R is required, and familiarity with scikit-learn, TensorFlow, or PyTorch is preferred. Experience with visualization tools such as Tableau, Power BI, or Matplotlib will also be beneficial.

This internship provides you with a performance-based stipend of up to INR 7,500 - 15,000, along with swags and goodies, an Internship Certificate upon completion, and the potential for a full-time role based on your performance. You will gain real-world exposure to data science workflows and build a strong portfolio.

Dexter’s Tech is dedicated to fostering a diverse and inclusive environment. We encourage applications from candidates of all backgrounds who are passionate about advancing their skills in data science.



Skills

About the Author

FreshieHire Author
Hi, this is KD. On my blogs, you will find the best jobs for freshers all at one place. We curate jobs for you from various sources and combine them all at one place. Hope you got some value. : )
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