Generative AI and Data Science Intern at FlexiSAF Edusoft Limited

FlexiSAF Edusoft Limited is a forward-thinking education technology company passionate about reinventing learning, nurturing talent, and empowering individuals to make meaningful career choices. We believe that Artificial Intelligence (AI) and Data Science are shaping the future of innovation and decision-making, and we’re dedicated to preparing the next generation of professionals for success in these transformative fields. Through structured programs, mentorship, and hands-on experience, we aim to help learners acquire real-world skills that drive growth, innovation, and excellence in technology and beyond.

Job Details

Position: Generative AI and Data Science Intern
Location: Nigeria (Remote)
Employment Type: Internship (Unpaid)
Cohort Duration: January – April 2026
Industry: Education Technology, Data Science, Artificial Intelligence

Role Overview

The Generative AI and Data Science Internship at FlexiSAF is a unique opportunity for individuals eager to build expertise in AI, data science, and machine learning. The program is divided into three levels — beginner, intermediate, and advanced, and provides participants with a well-structured curriculum, self-paced learning materials, and practical projects.

Participants will develop technical skills in Python programming, backend development, and AI model design while also working on real-world projects and collaborating with mentors. The program focuses on accountability, hands-on practice, and measurable progress throughout the internship.

Note: This is not a paid internship. Participants are expected to have a functional laptop and stable internet access to fully engage in the program.

Key Responsibilities

• Participate in a self-guided learning curriculum covering AI, data science, and generative models.
• Complete assigned tasks and projects aligned with the internship roadmap.
• Collaborate with mentors and fellow participants to develop solutions to real-world challenges.
• Demonstrate consistent progress through performance tracking and assessments.
• Build a portfolio of practical AI and data science projects to showcase technical growth.

Qualifications and Skills

• Familiarity or working knowledge of at least one programming language (preferably Python) and its libraries such as TensorFlow, PyTorch, or scikit-learn.
• Understanding of backend development using frameworks like Flask or Django, and familiarity with databases and RESTful APIs.
• Basic knowledge of AI and data science concepts — machine learning, deep learning, neural networks, data modeling, NLP, and computer vision.
• Ability to perform data manipulation, preprocessing, and visualization using tools such as Google Data Studio, Power BI, or Tableau.
• Awareness of AI ethics and bias in machine learning models.
• Strong analytical thinking, problem-solving ability, and accountability.
• Excellent communication skills and ability to work in a collaborative environment.
• A portfolio or demonstrable project work in AI or data science (advantageous for advanced-level applicants).

Salary

This internship is unpaid. There are no stipends for data or other allowances at this time. Participants are required to have access to a laptop and reliable internet connection to enable full participation.

Note: Applications submitted now will be considered for the January – April 2026 cohort.
Applicants whose SIWES or NYSC placements begin after January 2026 or extend beyond April 2026 are encouraged to apply and communicate their timelines accordingly.

Benefits

• Mentorship from Industry Experts: Learn directly from experienced AI and data science professionals.
• Hands-on Project Experience: Apply your knowledge to real-world projects and build a professional portfolio.
• Access to Cutting-edge Tools: Explore advanced AI frameworks and data science technologies.
• Career Development: Gain valuable skills to prepare for a career in AI and data science.
• Networking Opportunities: Connect with a diverse, supportive community of learners and professionals.