How to Start a Data Science Career in Nigeria

With the increased expansion of the internet, the amount of data flying around has never been higher, and Companies and Individuals alike have been able to harness this data, with OpenAI launching ChatGPT in Late 2022, and Tesla launching FSD (Full Self Driving) in their cars, enabling their cars to automatically drive users all by the simple tap of a button.

Data Science, a field linked closely to Artificial Intelligence, Data Mining, Machine Learning, Marketing and many others; Is a shiny, burgeoning area of Computer science, massively flourishing and proving lucrative to any person or organization that is able to crack it.

Starting a career in Data Science can be both exciting and daunting, especially if you are just starting out. However, the growth of  Data Science in Nigeria is undeniable and provides a great opportunity for those looking to embark on this career path.

Data science has become an increasingly important field for businesses in Nigeria. From leveraging insights from customer data to optimizing operational processes, data science is helping organizations to make better decisions and improve the way they do business.

There are many opportunities available for those wanting to start a career in Data Science in Nigeria. This article will guide you through the different steps needed to get started and provide insight into some of the best ways to find job opportunities within this field. It will also provide advice on how to stand out amongst other candidates and how to get hired.


What Is Data Science?

Data Science is the field of study that combines Programming, Mathematics, and Business analytics to uncover insights and solve complex problems. It has become increasingly popular in Nigeria in recent years due to its ability to provide solutions to a variety of business challenges.

Data Science is used in almost all industries today, from Retail and Finance to Healthcare and Government. It combines advanced statistical methods with sophisticated algorithms to create predictive models that uncover hidden patterns. This allows businesses to identify customer trends, build better products, optimize their operations, and make informed decisions.

Data Science involves collecting data from multiple sources, analyzing it, and transforming it into actionable insights. It requires knowledge of programming languages such as Python, Java, and R; Statistics; Machine learning; Linear algebra; Computer graphics; and Data visualization tools like Tableau or Microsoft Power BI. Data scientists also use specialized software such as Apache Hadoop, Apache Spark or Amazon Elastic Map Reduce for large-scale data processing projects.

By mastering these skills and techniques, you can start your Data Science career in Nigeria on the right footing.


Data Science and Data Analytics

A popular and exceptional Economics expert, Dan Ariely once spoke about Big Data and he said, “Everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they’re doing it”

This ideology applies to a large amount of data terminology. A lot of people throw phrases around like “Data Analysis”, “Data Mining”, “Big Data”, “Data Science”, sometimes, even the experts have a hard time explicitly defining them. But here we focus on the most important distinctions relating to your career; The often-confused differences between Data Science and Data Analytics.


The Difference Between Data Science and Data Analytics

Data Science and Data Analytics are terms that are often used interchangeably, but they’re two distinct fields. Data analytics is the practice of collecting and analyzing data to answer questions and draw conclusions from the data. Data science, on the other hand, is a broader field that encompasses Data Analytics, as well as related disciplines such as Machine Learning, Artificial Intelligence (AI), Natural Language Processing (NLP), and more.

Data scientists use their skills in techniques such as Problem-solving, Statistical analysis and Predictive modeling to uncover patterns in large datasets. They then use those patterns to build models that enable organizations to gain deeper insights into their businesses, improve decision-making, and increase efficiency. In short, data science is a more comprehensive approach to extracting knowledge from data than just traditional analytics.


What Skills Do You Need to Become a Data Scientist?

It may come as no surprise that a Data Science career requires a certain set of technical skills. However, the ability to apply those skills algorithmically and analytically is just as important.

It may help to think of data science as a combination of three distinct skills:

  1. Programming Skills: You must know the basics of Programming languages such as Python, R, or SQL, and understand how to use libraries and packages for data analysis and visualization. However, if you’re new and want to learn coding, check out that cool link behind.
  2. Statistical Analysis Skills: You will need an understanding of Probability theory, Linear regression analysis, Machine learning algorithms, and Artificial intelligence technology, as well as other topics in explanatory analytics.
  3. Expertise with Cloud tools: You will also need experience with various cloud tools and programs. These involve programs like the Apache Hadoop Platform, Hive, and Amazon S3 which are software that helps aid in the computation of massive amounts of data. Now although this isn’t always a requirement, it is preferred in many cases.
  4. Business Skills: You should also have an understanding of how businesses run, including Finance and Economics, Marketing and Customer service processes, Industry trends, and more.

In addition to these technical skills, aspiring data scientists should also possess strong communication abilities to help translate complex data into coherent reports and persuasive presentations. An understanding of predictive analytics is also very beneficial when interpreting data in difficult situations or making decisions with unclear outcomes.


Where to Find Remote Jobs as a Data Scientist in Nigeria

With Nigeria’s Fast-growing status as a tech hub, the number of remote data science jobs available is also increasing, allowing you to work from the comfort of your own home. Here are a few avenues you can explore to find such positions:

Job Boards

You can use popular job boards like DelonApps, Glassdoor and LinkedIn to search for remote data science jobs in Nigeria. Make sure you tailor your resume specifically to data science positions and clearly articulate any relevant skills or experience that make you a competitive candidate.

Professional Networks

Networking within the Nigerian data science community can also go a long way in finding remote opportunities. Join groups on social media platforms like Twitter and Facebook to reach out to potential employers and stay up-to-date with the latest openings in this field.

Freelance Platforms

Freelance platforms like Upwork, Fiverr, and Guru provide countless freelance opportunities for those looking for remote work as a data scientist. You will need to create an attractive profile with detailed information about your skills and experiences to stand out among the competition.


How to Prepare for a Job Interview in the Nigerian Data Science Field

If you’re ready to take the plunge and start applying for data science positions in Nigeria, then you need to be prepared for the job interview process. Here are some tips to make sure you stand out from other applicants:

Research the Company

It’s important to have a good understanding of the company you’re applying to work for, as this will give you an edge during the interview. Take some time to research their history, team structure, processes, and products—this will show that you’ve done your due diligence and prepared for the interview.

Practice Interview Questions

Before your interview, practice answering potential questions that might arise related to data science. Make sure you understand data science concepts thoroughly, from machine learning algorithms to data pipelines. This knowledge will demonstrate that you have what it takes to excel in a data science role.

Prepare Your Portfolio

Having a portfolio of past projects is essential when applying for a data science position in Nigeria. It’s also important that your portfolio is up-to-date and highlights your best work, as this will be used as a reference point during an interview.


Tips for Landing Your Dream Job in Nigeria’s Data Science Industry

Nigeria’s Data Science industry is growing at an impressive rate, and there are more opportunities than ever before for those looking to start a career in this field. To ensure your success, here are some tips to get your foot in the door:

  1. Gain Relevant Experience: Employers in Nigeria’s data science industry typically look for applicants with a certain level of experience in the field. One way to gain this experience is by working on projects related to data science or by taking courses in data analysis and machine learning.
  2. Take Advantage of Online Platforms: Many online platforms offer courses and tutorials related to data science, making it easy to learn new tools and techniques from the comfort of your own home.
  3. Network With Professionals: Attend events or join professional organizations related to data science. Here, you’ll have the opportunity to meet other professionals in the industry who may be willing to offer advice or even job referrals.
  4. Be Flexible With Location: While there are many great opportunities for data scientists based in Nigeria, it can be beneficial to be open to exploring opportunities outside of Nigeria as well if desired.

Following these tips can help you take advantage of Nigeria’s dynamic data science industry, so you can land your dream job!

So, You’ve learnt a lot from this Data Science breakdown; You’ve learnt what Data Science is, You’ve learnt the Skills needed to be a Data Scientist in Nigeria, You’ve also learnt tips on how to land a Data Science role. But because we love helping, here is a list of the Top 10 Data Science Jobs in Nigeria.


Top 10 Data Science Jobs in Nigeria

Data Science is a rapidly growing field in Nigeria, offering promising career opportunities. Here is a list of the Top 10 Data Science jobs available in the Country today:

  1. Data Analyst: Data Analysts work with large data sets to identify patterns and trends, allowing organizations and businesses to make informed decisions.
  2. Business Intelligence Analyst: Business Intelligence Analysts use their expertise to identify areas where money can be saved or increased, helping companies stay competitive in their respective markets.
  3. Data Engineer: Data Engineers design and manage the systems used to store and organize data, making sure all of an organization’s data is secure and easily accessible.
  4. Data Scientist: Data Scientists combine several skills to extract valuable insights from large sets of complex data, which can then be used to improve products or services.
  5. Machine Learning Engineer: As the name implies, Machine Learning Engineers design and maintain the systems used for identifying patterns in data using sophisticated algorithms.
  6. Big Data Architect: Big Data Architects focus on designing and implementing software solutions that help organizations process large amounts of data efficiently and securely.
  7. Analytics Consultant: Analytics Consultants advise companies on how best to utilize their data by providing strategic insight on how they can gain competitive advantage through analytics-driven insights.
  8. Data Visualization Designer: Data Visualization Designers are responsible for creating dynamic visuals that make it easy for businesses to understand insights from their datasets quickly and effectively
  9. Data Security Analyst: A Data Security Analyst is responsible for ensuring the security of an organization’s data.



Nigeria offers an array of possibilities for those looking to start their Data Science careers. With the growing demand for Data Science skills, there are more remote Data Science jobs than ever before and with a variety of industries to choose from. By leveraging the skills and knowledge you have acquired in the field of Data Science, you can find success in the fast-paced Nigerian Data Science industry. Whether you’re looking for an established company or to launch your own data science startup, there are plenty of opportunities for you to explore. Don’t let your dreams of a Data Science career be stifled; take advantage of the rich resources and opportunities Nigeria has to offer and make the most of your career journey.



Data Engineering is one of the most talked about fields these days, Nigeria is one of those countries where engineering can help design and construct products and services, that help to make the world a better place. With the ever-evolving technology and new innovations being created every day, more and more people are looking for ways to become A Data Engineer in Nigeria.

A Data Engineer is an IT worker whose primary job is to prepare data for analytical or operational uses. These software engineers are typically responsible for building data pipelines to bring together information from different source systems. As well as designing and executing complex queries to extract data for further analysis or to meet operational needs.

To become A Data Engineer in Nigeria, you need to have a solid understanding of the language of technology, have up-to-date skills, and gain the right technical knowledge. Primarily, though, you should have a deep sense of interest and passion in engineering.

The best way to start your journey toward becoming a data engineer in Nigeria is to enrol in a reputable engineering program. You can find a 4-year program at universities, good trade schools, and other institutions. It is important to choose a program that provides a comprehensive education that covers engineering fundamentals, mathematics, and problem-solving.

Many engineering degree programs in Nigeria also offer internships, which is a great way for students to gain real-world experience. Also, during your studies, you will be required to specialize in a certain technology, such as software engineering, data engineering, or mobile engineering.

When it comes to the technical knowledge needed to be a data engineer in Nigeria, you should have a strong foundation in mathematics, as well as computer science. You should also become familiar with algorithms and data structures, which are essential for efficient programming.

Skills such as Coding, Data Analysis, Machine Learning, and even SQL knowledge



To become a Data Engineer in Nigeria, you should also invest in other areas of engineering, such as coding and software development. You should be able to write efficient code and create working software systems with complex components like Apache Hadoop

Careers in Data Analysis include;

  1. Data Engineer
  2. Big Data Technician
  3. Big Data Engineer
  4. Data Marketing Specialist
  5. Big Data Solutions Specialist

Now, You can see the term “Big Data” on this list and you may not know what it is.



Big Data is basically a compilation of various pieces of information from various sources all around you. Then it uses that data to create tables or files of data called datasets. You can also say that Big Data compiles enormous sizes of information and reduces it to the form of simple to complex data sets at high speed. The tools for Big data analytics are equipped to take in information in all forms, from structured to semi-structured to unstructured – and then convert it for visualization and analysis so that various organizations, from Tiny Startups to Massive Fortune 500 corporations can take their data and make sense of their data.

Additionally, it is important to have good communication skills, as data engineering often involves collaboration with other engineers and IT professionals.

When you’re ready to take the plunge into Data Engineering in Nigeria, there are many resources available to help you on your journey. Webinars, Conferences, and Hackathons are all great ways to mingle with other professionals and gain knowledge in the field.

Finally, stay updated with the latest technology trends and developments in Data Engineering. This will help to ensure your skills and knowledge remain relevant, giving you the competitive edge in the ever-evolving data engineering field. With hard work and dedication, you will be well on your way to becoming a successful data engineer in Nigeria.

In addition, knowledge of Software Development Life Cycles, Software requirements, testing, and debugging is essential for Data Engineers. To ensure accuracy and consistency, you should become familiar with Data Modeling tools, such as PowerBI, Tableau, and Excel, and have a good understanding of cloud-based databases and analytics, including Amazon Web Services and Google Cloud Platform.

It is also important to have a good grasp of data warehouse and data lake concepts, and to be able to develop ETL pipelines to load data from multiple sources into the data warehouse or data lake.

Finally, a data engineer must have excellent problem-solving skills and be able to work in a fast-paced, deadline-driven environment. As a data engineer, you will be responsible for developing robust strategies to improve the company’s data quality and performance, so having the ability to think critically and make decisions quickly is essential.



By gaining the relevant technical and professional skills, you can become a successful data engineer in Nigeria. You may even find opportunities to work remotely with multinational companies, opening up a world of possibilities. With the right resources and a commitment to lifelong learning, you can take your career to the next level and start making a major contribution to the industry.

Networking is another great way to develop your data engineering career. Connecting with others in the field can provide invaluable insight and advice, not to mention the potential for new job opportunities. So start making connections with other data engineers and IT professionals through professional networking events, online communities, and social media sites.

Another way to get ahead in the data engineering industry is by obtaining additional certifications. Many employers in Nigeria prefer that applicants hold a related degree or diploma, as well as one or more certifications from trusted organizations such as Microsoft, IBM, Oracle, and SAS. Obtaining a certification can often open the door to more professional opportunities.

Finally, a great way to hone your data engineering skills and knowledge is by taking part in projects. Whether you’re working on a project related to your company or taking on a research project for a university or organization, participating in projects can give you the hands-on experience you need to succeed. Taking part in a project can also provide you with the opportunity to network and make connections with other professionals.

By committing to lifelong learning, networking with other professionals, obtaining additional certifications, and participating in projects, you can become a successful data engineer in Nigeria. With the right resources, dedication, and hard work, you can reach your goals and become a key contributor to the data engineering industry.



To be successful in the data engineering industry, one must also be creative and open to trying new ideas. As technology and data evolve, data engineers must stay up-to-date with the latest trends and find new ways to solve problems. In addition, the ability to think outside the box and come up with innovative solutions is essential.

Self-confidence and the ability to stay calm under pressure are also important qualities for data engineers. Working with complex data as a Big Data Engineer or working with complex figures as a Big Data Technician can be challenging and often requires a keen eye for detail and the ability to identify and fix errors quickly. As such, data engineers must have strong perseverance and be able to operate under tight deadlines.

Finally, it is important that data engineers embrace the importance of collaboration. Working together with a team to solve complex problems is often the most effective way to come up with innovative solutions. Data engineers must also be able to effectively communicate their ideas and findings to others and successfully work with others to complete a project.

By gaining the professional and technical skills necessary and leveraging the qualities of a successful data engineer, you can become a successful data engineer in Nigeria. With the right resources and an unwavering commitment to learning, networking, and collaborating you can reach your goals and make a major contribution to the industry.

One key part of becoming a successful data engineer in Nigeria is staying informed of new trends in the industry. As technology advances, so does the need for data engineers to stay up-to-date with the latest developments. By subscribing to industry publications and staying active on social media, among other things, data engineers can stay informed of the latest trends and be prepared to adjust their strategy and processes accordingly.

In addition, obtaining certifications can also be beneficial for data engineers. There are a wide range of industry-recognized certifications available, such as the Certified Data Engineer (CDE) designation, that emphasize the importance of data engineering and demonstrate a commitment to professional development.

Finally, another important part of becoming a successful data engineer in Nigeria is engaging in community service to give back. By participating in hackathons, volunteering for open source projects, or arranging data engineering workshops, data engineers can help foster a supportive environment and contribute to the growth of the industry. By engaging in these activities and initiatives, data engineers can strengthen their network and give back to the community.

In conclusion, succeeding as a data engineer in Nigeria requires dedication, expertise, and strong interpersonal skills. By staying informed of trends, obtaining certifications, participating in research projects and initiatives, and engaging in community service, aspiring data engineers can develop the knowledge and skills needed to become successful in the field. With the right resources and an unwavering commitment to learning, networking, and collaborating, you can become a successful data engineer in Nigeria. It is important to note that competition in the field can be fierce and as such, there are several steps to take in order to set yourself apart from the competition. Networking is a great way to learn about the latest trends and demonstrate your expertise. Many data engineers find it beneficial to attend conferences, join organisation or associations, and connect with like-minded professionals. This can help to broaden your knowledge base and increase your exposure to new ideas.

In addition, making strategic use of resources such as open source data science and machine learning tools can be a great way to demonstrate your technical expertise. Additionally, showcasing your professional portfolio on websites such as LinkedIn can be a great way to draw attention to your skills and experiences.

Then, continuing to learn and develop new skills is paramount to staying ahead of the competition. Investing in further educational activities such as online courses and boot camps can be a great way to stay up-to-date with the latest industry trends and learn new technologies.

By proactively seeking out new opportunities, engaging in community service, and continuing to learn, aspiring data engineers can set themselves apart from the competition and increase their chances of success. With the right resources, dedication, and an unwavering commitment to learning, networking, and collaborating, it is possible to become a successful data engineer in Nigeria.



Success as a data engineer also requires good communication and organizational skills. Keeping up with current trends and staying ahead of the competition is key, making it important to regularly review industry publications and websites to keep informed. Reading trade magazines, attending seminars, and attending conferences are all great ways to stay current. Additionally, joining professional organizations or communities that focus on data engineering can be beneficial. It is also important to make the most of available data engineering resources such as online forums, job boards, and industry blogs to identify potential opportunities and keep informed about the latest trends.

Building successful relationships with clients, colleagues, and other professionals in the industry is a crucial step in becoming a data engineer in Nigeria. Developing strong communication and interpersonal skills, networking with the right people, and consistently demonstrating your technical expertise are all essential to success in this field. Additionally, the use of social media platforms such as LinkedIn, Twitter, and YouTube can be a great way to increase your visibility and demonstrate your knowledge.

On top of all this, data engineers must also be prepared for the demands of the job. Being able to work in a fast-paced environment and troubleshoot problems quickly is essential for success. Alternately, data engineers must be able to recognize and prioritize tasks in order to meet deadlines.

Overall, becoming a successful data engineer in Nigeria requires dedication, hard work, and persistence. It is important to stay informed, take advantage of available resources, and build strong relationships.

If you want to find out more Tech roles, Check out the Best Tech Jobs in Nigeria