Data Science Training & Internship Program at Refonte Learning

Refonte Learning is an Ed-Tech powerhouse under Refonte Private Limited, offering comprehensive IT training programs. The unique Global Training & Internship Program combines industry-relevant training with real-world project work alongside experienced professionals.

Job Title: Data Science Training & Internship Program

Location: Nigeria

Employment Type: Internship

Job Summary

• Refonte Learning is looking 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.

How to Apply: Interested and qualified candidates should send their CV to: [email protected] using the Job Title as the subject of the email.