Whether you’re coming from Africa to study abroad or start a career, data is surely one area you should pay attention to considering the multitude of opportunities and demand for people with skills in the area. The average salary for a Data Scientist is £52,778 per year in the United Kingdom according to Indeed.co.uk, while the highest data science salaries can be found in Switzerland, with an average annual data science salary of € 115,475, followed by the Netherlands, at €68,880. This salary correlates with the demand for people in the field.
So, as an African seeking to start a career in diaspora, here are some interesting roles to explore in data.
DATA SCIENTIST, these people use their analytical and technical capabilities to extract meaningful
insights from data.
DATA ENGINEER: They ensure uninterrupted flow of data between servers and applications and are also responsible for data architecture.
BIG DATA ENGINEER: Big Data Engineers build the designs created by
solutions architects. They develop maintain, test and evaluate big data solutions within
MACHINE LEARNING SCIENTIST,
They work in the research and development of algorithms that are used in adaptive systems. They build methods for predicting product suggestions and demand forecasting and explore Big Data to automatically extract patterns.
BUSINESS ANALYTICS SPECIALIST, a business analytics specialist supports various development initiatives, assists in testing activities
and in the development of test scripts, performing research in order to understand business issues,
and developing practical cost-effective solutions to problems.
DATA VISUALIZATION DEVELOPER, they design, develop and provide production support of interactive data visualization used across the enterprise. They possess an artistic mind that conceptualizes, design, and develop reusable graphic/data visualizations and uses strong technical knowledge for implementing these visualizations using the latest technologies.
BUSINESS INTELLIGENCE (BI) ENGINEER, they come up with solutions quickly to help businesses in making time sensitive decisions, have strong communication & analytical skills passion for data visualization, and a drive for excellence and self-motivation.
BI SOLUTION ARCHITECT, they have data analysis expertise and the experience of setting up reporting tools, querying and maintaining data warehouses They are hands-on with big data and take a data driven approach to solving complex problems.
A MACHINE LEARNING ENGINEER, Machine Learning Engineer's final "output" is the working software and their "Audience" for this
output consists of other software components that run automatically with minimal human supervision. The decisions are made by machines and they affect how a product or service behaves.
A STATISTICIAN, they gather numerical data and then display it, and help companies to make sense of quantitative data and to spot trends and make predictions.