6 high-paying side hustle for data scientists in Africa

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Become a data science consultant

According to Interview Query, becoming a data science consultant is lucrative and offers rewarding opportunities. Skilled data scientists in Africa can earn a decent income providing consultancy services. Data science consultants work with organizations to analyze calculations with insights from collected data.

The idea is to work with clients to improve their business strategies, analytical skills and data skills. With many companies hiring data science analysts, it is time for qualified Africans to benefit from sharing industry knowledge and expertise.

start blogging

According to Python Insta Planet, blogging is one of the fastest ways to make money online because it offers endless opportunities to earn money. With the rise of the data science industry, skilled Africans can earn a decent income by posting blogs and articles.

If you can build a brand around your name and write articles and blogs about data science, consider creating high paying blogs. The idea is to build a website, write articles with valuable information, and leverage the internet to generate income. Also, you can make money from affiliate marketing, advertisements, and selling e-books.

Create a YouTube channel

According to Analytics Insights, YouTube is a great video platform where people learn the basics and advanced concepts of any subject. Skilled data scientists in Africa can benefit from the population of aspiring learners on the platform. This industry is rewarding if you can teach or share knowledge and save videos to upload on the platform.

With a focus on data science, the idea is to create a channel and teach how to collect structured and unstructured data or dive deeper into machine learning algorithms. Opportunities abound in this industry, and Africans can earn by leveraging the internet for subscribers. Moreover, you can earn with advertisements and get referrals.

Become a user tester for websites and apps

According to Towards Data Science, testing websites and apps for businesses and individuals is lucrative with a decent monthly income. By testing websites and apps, data scientists in Africa can get paid to make the web more functional and less buggy.

This high-paying side hustle is for you if you can test bugs and fix important technical issues. With many companies hiring website and app testers before launching products and services, data scientists in Africa can earn a decent side income. In addition, tests and comments improve your knowledge.

Create and sell data science products

According to Phoenixite, data scientists are problem solvers and creating and selling products that solve a real problem is profitable. Data scientists in Africa can earn a decent income by developing applications and software that provide insights and solve data problems for organizations.

If you can organize and structure data for analysis and run experiments to collect data, consider building and selling apps and software for money. The idea is to start with a simple product with great features before moving on to complex projects, ensuring proper research for genuine results.

Participate in Kaggle competitions

According to KD Nuggets, Kaggle is home to engaging and entertaining data science competitions with endless money-making opportunities. Suppose you want to improve your data science skills or learn new skills. Consider the Kaggle Data Science Contest. While data scientists in Africa can learn in the competition, there are cash prizes and rewards for the winners. So, if you are knowledgeable and experienced in the data science niche, you can win by demonstrating your skills in competitions. Consider creating a great Kaggle profile to attract recruiters who can enter you into contests.

*Views expressed in this article are those of a Business Insider Africa contributor. It does not represent the views of the Business Insider Africa organization.

Olayinka Sodiq is a skilled copywriter with technical, analytical and writing experience gained over 5 years of in-house and freelance gigs. He is versed in finance, investments, technology, blockchain, mergers and acquisitions, bankruptcy, etc.

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