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Data and Artificial Intelligence Jobs in Nigeria

View Data and Artificial Intelligence jobs below.

  • BlueBrain Services Ltd logo

    Monitoring, Evaluation and Learning Officer

    BlueBrain Services Lt..Abia, Nigeria31 March

    We offer bespoke solutions for individual customers and organizations to manage their cost of capital well into the future, and build capacities for ...

    Onsite
  • Sightsavers logo

    Data Manager

    SightsaversAbuja, Nigeria29 March

    Sightsavers is an international organisation that changes lives for the long term. We work in more than 30 countries to eliminate avoidable blindness and ...

    Onsite
  • Amaiden Energy Nigeria logo

    Data Support Analyst III

    Amaiden Energy Nigeri..Lagos, Nigeria28 March

    Amaiden Energy Nigeria Limited(formerly Moody International Nigeria Limited) was established in 1996 as a partnership between Moody International Group and ...

    Onsite
  • Babban Gona logo

    Data Annotation Intern

    Babban GonaLagos, Nigeria28 March

    Babban Gona, which means "Great Farm" in the Hausa language, is a social enterprise organization that provides support for smallholder farmers in ...

    Onsite
  • AfyA Care logo

    Premium Reconciliation Officer

    AfyA CareLagos, Nigeria28 March

    Afya Care Nigeria (AfyA Care) invests in healthcare assets with a vision to make healthcare accessible and affordable. We are building vertically integrated ...

    Onsite
  • IpNX Nigeria Limited logo

    Data Analyst

    IpNX Nigeria LimitedLagos, Nigeria28 March

    ipNX Nigeria Limited is a leading provider of infrastructure-based Telecommunications and Information Technology services here in Nigeria. Leveraging more than ...

    Onsite
  • Moniepoint Inc. (Formerly TeamApt Inc.) logo

    Data Analyst

    Moniepoint Inc. (Form..Lagos, Nigeria27 March

    Moniepoint is a financial technology company digitising Africa’s real economy by building a financial ecosystem for businesses, providing them with all ...

    Onsite
  • MTN Nigeria logo

    Analyst - CVM in Large Enterprise

    MTN NigeriaLagos, Nigeria27 March

    MTN Nigeria is part of the MTN Group, Africa\'s leading cellular telecommunications company. On May 16, 2001, MTN became the first GSM network to make a ...

    Onsite
  • MTN Nigeria logo

    Analyst - Business Intelligence

    MTN NigeriaLagos, Nigeria27 March

    MTN Nigeria is part of the MTN Group, Africa\'s leading cellular telecommunications company. On May 16, 2001, MTN became the first GSM network to make a ...

    Onsite
  • Action Against Hunger | ACF-International logo

    Head of Department Monitoring, Evaluation, Accountability, and Learning (MEAL)

    Action Against Hunger..Abuja, Nigeria27 March

    Action Against Hunger | ACF International, a global humanitarian organization committed to ending world hunger, works to save the lives of malnourished ...

    Onsite
  • Scruples Resources logo

    Data Support Analyst III

    Scruples ResourcesLagos, Nigeria26 March

    Consultancy Services, Resource Development, Skill Acquisition and provision of Human Resource for all sectors of the Nigerian economy.Main Function Primary ...

    Onsite
  • Scruples Resources logo

    Data Support Analyst III

    Scruples ResourcesLagos, Nigeria26 March

    Consultancy Services, Resource Development, Skill Acquisition and provision of Human Resource for all sectors of the Nigerian economy.Main Function Primary ...

    Onsite
  • African Industries Group (AIG) logo

    Data Analyst

    African Industries Gr..Lagos, Nigeria26 March

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

    Onsite
  • Promasidor logo

    Regional Sales Business Analyst - Africa (ECOWAS, CEMAC, EA & SA)

    PromasidorLagos, Nigeria26 March

    Promasidor was founded in 1979 by Robert Rose, who left the United Kingdom in 1957 for Zimbabwe to pursue his African dream. As Chairman of Allied Lyons Africa ...

    Onsite
  • Kuda Bank logo

    Data Scientist - Financial Fraud Detection

    Kuda BankLagos, Nigeria26 March

    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 ...

    Onsite
  • Plan International logo

    Communication Intern

    Plan InternationalBorno, Nigeria26 March

    Plan International was founded over 75 years ago with a mission to promote and protect the rights of children. The organisation was set up by British ...

    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.