Data Science Training & Internship at Refonte Learning

Refonte Learning is a dynamic Ed-Tech division of Refonte Private Limited, dedicated to empowering individuals and businesses in the digital age. We offer industry-relevant IT training programs in Python, SQL, Tableau, and Advanced Excel, along with hands-on projects and internships through our unique Global Training & Internship Program (OGTIP). Additionally, we provide cutting-edge digital marketing solutions to help businesses achieve their growth objectives.

We are recruiting to fill the position below:

Job Title: Data Science Training & Internship

Location: Nigeria
Employment Type: Internship

Job Summary

• We arelooking for enthusiastic individuals eager to dive into the field of data science while working on real-world projects with a global impact.
• We offer more than just a flexible work environment—we provide the opportunity to collaborate with a dynamic team across different countries.

Projects You Will Work On:

• Financial Fraud Detection: Design sophisticated algorithms to identify fraudulent activities by analyzing financial data.
• Personalized Recommendation Systems: Help develop intelligent recommendation models to improve user experiences across various platforms.
• Sentiment Analysis: Analyze text data to gain valuable insights into user opinions and emotional trends.
• AI Chatbots: Contribute to the creation of smart chatbots that enhance customer service and automated interactions.
• Multimedia Classification: Work on cutting-edge projects involving the categorization of images, audio, and video content.
• Text Data Processing: Detect hidden trends and extract meaningful insights from textual data using advanced analytical techniques.

Roles & Responsibilities

• Work alongside experienced data science professionals to gather, refine, and interpret large datasets, enhancing expertise in data preprocessing and visualization.
• Assist in building predictive models and algorithms, leveraging advanced machine learning methods to tackle real-world problems.
• Engage with team members to conceptualize, execute, and assess experiments, promoting a culture of collaboration and innovation.
• Keep up with the latest trends and best practices in data science, integrating new insights to optimize project performance.

Qualifications

• Enrolled in an academic program, demonstrating a strong dedication to ongoing learning and career development.
• Outstanding written and spoken communication abilities, essential for teamwork and conveying complex concepts clearly.
• Proven capability to work autonomously as well as within a collaborative team environment, showcasing flexibility and strong interpersonal skills.

Application Closing Date
Not Specified.