Generative AI, Data Science Intern

FlexiSAF Edusoft Limited

Internship focused on training in Generative AI and Data Science at FlexiSAF, aimed at nurturing AI talents and providing hands-on experience.

Posted 7/17/2026internshipRemote • 🇳🇬 NigeriaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in programming languages such as Python and its libraries, alongside a solid understanding of AI concepts, data manipulation, and backend development principles. Capable of applying analytical and problem-solving skills to real-life AI projects while adhering to ethical standards.

Highest-signal resume keywords

Python ProgrammingMachine LearningData ManipulationBackend DevelopmentAI Ethics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTensorFlowPyTorchScikit-learnMachine LearningDeep LearningData VisualizationData PreprocessingFeature EngineeringNatural Language Processing

Soft Skills

Analytical SkillsProblem-SolvingAccountability

Tools & Technologies

Google Data StudioPower BITableau

Industry Keywords

AI DevelopmentData ScienceInternship ProgramAI ConceptsNeural NetworksComputer Vision

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnTableauTensorflow

About the role

Key responsibilities & impact

At FlexiSAF, we are passionate about reinventing learning, nurturing talent, and inspiring individuals to make positive career decisions.
Our Generative AI and Data Science program is designed to nurture the next generation of AI talents who will drive innovation and opportunities.
The program is divided into three levels: beginner, intermediate, and advanced.
Accepted Participants will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost, their progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable.
During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.

Requirements

What you’ll need

Familiarity or Working knowledge in at least one programming language such as Python and its associated libraries such as TensorFlow, PyTorch, or scikit-learn is required.
Familiarity or Working knowledge of backend development principles, frameworks and technologies is essential.
Familiarity or Understanding of fundamental AI concepts and techniques such as machine learning, deep learning, neural networks and architectures, data modeling, computer vision, and NLP (Natural Language Processing).
Familiarity with Data Manipulation and Analysis: Proficiency in data manipulation and analysis, applicants should have basic knowledge of large datasets, performing data preprocessing, feature engineering and data visualization using visualization tools such as Google Data Studio, Power BI, Tableau, etc.
Familiarity with AI Ethics and Bias.
Accountable via set metrics and performance indicators.
Analytical and problem-solving skills.
Portfolio or Demonstrable Projects that demonstrate your skills and passion for AI development.

Benefits

Comp & perks

Mentorship from Industry Experts: Gain valuable insights and guidance from industry-leading AI and Data Science professionals who will provide mentorship during the program.
Hands-on Projects: Apply your learning to real-world projects, providing you with practical experience and a strong portfolio.
Access to Tools: Explore the latest AI and Data Science tools and technologies, including generative AI frameworks, to stay ahead of the curve.
Career Advancement: Prepare for a successful career in AI and Data Science with our comprehensive program, opening doors to exciting opportunities.
Networking Opportunities: Connect with a diverse and supportive community of fellow learners and professionals in the field.