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Data and Artificial Intelligence Entry-level Jobs Jobs in Nigeria

View data and artificial intelligence Entry-level jobs below.

  • GVA Partners logo

    Business Analyst

    GVA PartnersLagos, Nigeria03 July

    Growth in Value Alliance (GV Alliance) Partners is a business advisory and market intelligence services firm. Our objectives are to assist organizations to ...

    Onsite
  • Nigerian Red Cross Society logo

    Data Administrator

    Nigerian Red Cross So..Abuja, Nigeria03 July

    The Nigerian Red Cross Society (NRCS) was established through an Act of Parliament in 1960. This Act depicts that the NRCS is recognized by the Federal ...

    Onsite
  • KingMakers logo

    AML Analyst

    KingMakersLagos, Nigeria03 July

    KingMakers is the leading sports and digital entertainment platform company across the African continent. We are focused on creating opportunity. Opportunity ...

    Onsite
  • Project Start Academy logo

    Artifical Intelligence Tutor

    Project Start AcademyAbuja, Nigeria30 June

    Project START Academy is a dynamic learning initiative designed to equip young minds with essential skills for the future. Focused on innovation, creativity, ...

    Onsite
  • Kuda Bank logo

    Business Intelligence (BI) Engineer

    Kuda BankLagos, Nigeria27 June

    Kuda is a full-service, app-based digital bank. Our mission is to be the go-to bank not just for those living on the African continent, but also for the ...

    Hybrid
  • FAME Foundation for Girls and Women Empowerment logo

    Monitoring and Evaluation Officer

    FAME Foundation for G..Abuja, Nigeria27 June

    FAME Foundation is a gender-based non-profit organization established solely to solicit, encourage, and advance the social, emotional, and economic well-being ...

    Onsite
  • TechnoServe logo

    MEL Specialist- WAFPUR

    TechnoServeKano, Nigeria26 June

    We are a nonprofit organization that develops business solutions to poverty by linking people to information, capital and markets. Our work is rooted in the ...

    Onsite
  • African Industries Group (AIG) logo

    Security MIS Analyst

    African Industries Gr..Lagos, Nigeria25 June

    African Industries Group (AIG) is a diversified global conglomerate with a legacy of 51 years of business excellence and sustainable growth. It is ...

    Onsite
  • PalmPay logo

    Business Intelligence Analyst

    PalmPayLagos, Nigeria25 June

    We are building an ecosystem to provide millions of customers with the best choice and value in digital and financial services. We are creating new and unique ...

    Onsite
  • Kuda Bank logo

    Data Analyst - Lagos

    Kuda BankLagos, Nigeria25 June

    Kuda is a full-service, app-based digital bank. Our mission is to be the go-to bank not just for those living on the African continent, but also for the ...

    Hybrid
  • Medbury Medical Services logo

    Data Entry Officer

    Medbury Medical Servi..Lagos, Nigeria25 June

    Medbury is a Corporate Health Advisory & Management company which provides assistance to organisations that enables them achieve their Workplace Health and ...

    Onsite
  • Nutrition International logo

    Data Clerk

    Nutrition Internation..Bauchi, Nigeria24 June

    Nutrition International (formerly the Micronutrient Initiative) is passionate about tackling one of the world’s greatest health issues: malnutrition. ...

    Onsite
  • Renmoney logo

    Senior Marketing Analyst

    RenmoneyLagos, Nigeria24 June

    At Renmoney, we believe finance should be simple, useful and accessible to everyone. That’s what makes us really passionate about leveraging data driven ...

    Onsite
  • TechnoServe logo

    MEL Specialist- WAFPUR

    TechnoServeKano, Nigeria24 June

    We are a nonprofit organization that develops business solutions to poverty by linking people to information, capital and markets. Our work is rooted in the ...

    Onsite
  • FrieslandCampina logo

    Master Data & Business Analyst

    FrieslandCampinaNigeria24 June

    FrieslandCampina WAMCO Nigeria PLC is a multinational manufacturing company: it is an affiliate of Royal FrieslandCampina of The Netherlands, the world’s ...

    Onsite
  • FrieslandCampina logo

    Supply Chain Business Analyst

    FrieslandCampinaLagos, Nigeria23 June

    FrieslandCampina WAMCO Nigeria PLC is a multinational manufacturing company: it is an affiliate of Royal FrieslandCampina of The Netherlands, the world’s ...

    Onsite

What is Big Data?

Big data is a combination of structured, semi-structured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modelling and other advanced analytics applications.

Systems that process and store big data have become a common component of data management architectures in organizations, combined with tools that support big data analytics.

Also, big data is often characterized by the three V's:

  • the large volume of data in many environments;

  • the wide variety of data types frequently stored in big data systems; and

  • the velocity at which much of the data is generated, collected and processed.

Big data has become relevant in almost every field and industry. Currently, companies use big data in their systems to improve operations, provide better customer service, create personalized marketing campaigns and take other actions that, ultimately, can increase revenue and profits. Businesses that use it effectively hold a potential competitive advantage over those that don't because they're able to make faster and more informed business decisions.

What is AI? 

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.

This AI system works by ingesting large amounts of labelled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states.

AI programming focuses on cognitive skills that include the following:

  • Learning. This aspect of AI programming focuses on acquiring data and creating rules for how to turn it into actionable information. The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task.

  • Reasoning. This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome.

  • Self-correction. This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible.

  • Creativity. This aspect of AI uses neural networks, rules-based systems, statistical methods and other AI techniques to generate new images, new text, new music and new ideas.

AI is important for its potential to change how we live, work and play. It has been effectively used in business to automate tasks done by humans, including customer service work, lead generation, fraud detection and quality control. In a number of areas, AI can perform tasks much better than humans.

Relationship between Big Data and AI

Big data and artificial intelligence have a synergistic relationship. AI requires a massive scale of data to learn and improve decision-making processes and big data analytics leverages AI for better data analysis. 

With big data AI-powered analytics, you can empower your users with the intuitive tools and robust technologies they need to extract high-value insights from data. 

By bringing together big data and AI analytics technology, companies can improve business performance and efficiency by:

  • Anticipating and capitalizing on emerging industry and market trends.

  • Analyzing consumer behaviour and automating customer segmentation

  • Personalizing and optimizing the performance of digital marketing campaigns

  • Using intelligent decision support systems fueled by big data, AI, and predictive analytics

Generally, AI makes big data analytics simpler by automating and enhancing data preparation, data visualization, predictive modelling, and other complex analytical tasks that would otherwise be labour-intensive and time-consuming

Job Roles in Big Data and AI 

  1. Data Scientist: A data scientist is responsible for analysing and interpreting complex data to find patterns and insights that can help organizations make better decisions. They need to be skilled in programming, data analysis, and machine learning.

  2. Data Analyst: A data analyst is responsible for collecting, cleaning, and analyzing data to identify trends and insights. They need to be skilled in statistics, data visualization, and programming.

  3. Machine Learning Engineer: A machine learning engineer designs and implements machine learning algorithms and models to automate tasks or create predictive models. They need to have strong programming skills and knowledge of statistics and mathematics.

  4. Business Intelligence Analyst: A business intelligence analyst uses data to help organizations make informed decisions. They analyze data to identify trends and patterns, and then create reports and visualisations to communicate insights to business leaders.

  5. Data Engineer: A big data engineer designs and implements large-scale data processing systems using technologies such as Hadoop and Spark. They need to have strong programming skills and knowledge of distributed computing.

  6. Data Architect: A data architect designs and maintains the architecture of data systems. They need to have a deep understanding of data modeling and database design.

  7. Data Mining Engineer: A data mining engineer develops and implements algorithms to discover patterns and insights in large datasets. They need to be skilled in programming and machine learning.