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Data and Artificial Intelligence Entry-level Jobs Jobs in Nigeria (Page 6)

View data and artificial intelligence Entry-level jobs below.

  • Gamma Mobility logo

    Evaluation Officer - Kano

    Gamma MobilityKano, Nigeria28 February

    Gamma Mobility is a mobility-fintech company fueling the dreams of gig workers across Africa. We empower riders and drivers with vehicles and financial ...

    Onsite
  • Gamma Mobility logo

    Evaluation Officer - Ile Ife

    Gamma MobilityOsun, Nigeria28 February

    Gamma Mobility is a mobility-fintech company fueling the dreams of gig workers across Africa. We empower riders and drivers with vehicles and financial ...

    Onsite
  • Gamma Mobility logo

    Evaluation Officer - Lagos

    Gamma MobilityLagos, Nigeria28 February

    Gamma Mobility is a mobility-fintech company fueling the dreams of gig workers across Africa. We empower riders and drivers with vehicles and financial ...

    Onsite
  • Gamma Mobility logo

    Evaluation Officer Ibadan

    Gamma MobilityOyo, Nigeria28 February

    Gamma Mobility is a mobility-fintech company fueling the dreams of gig workers across Africa. We empower riders and drivers with vehicles and financial ...

    Onsite
  • MTN Nigeria logo

    Analyst - Customer Intelligence

    MTN NigeriaLagos, Nigeria28 February

    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
  • Food Concepts Plc logo

    Business Intelligence Officer

    Food Concepts PlcNigeria27 February

    Food Concepts commenced operations in 2001. From inception, our aim has been clear-cut and focused: to revolutionise the food sector in West Africa and to ...

    Onsite
  • Princeps Credit Systems Limited logo

    Quality Assurance Officer

    Princeps Credit Syste..Lagos, Nigeria27 February

    At Credit Wallet we are determined to make financial loans accessible to those who need it most. You can apply for a Credit Wallet loan from the comfort of ...

    Onsite
  • DMOT Enterprises logo

    Data Analyst

    DMOT EnterprisesLagos, Nigeria27 February

    Business Center, General Trading, Contract Management with companies, Consultancy, Resource hiring, training and counseling.Budget - 250k - 300k plus other ...

    Onsite
  • DMOT Enterprises logo

    MIS Executive

    DMOT EnterprisesOgun, Nigeria27 February

    Business Center, General Trading, Contract Management with companies, Consultancy, Resource hiring, training and counseling.Budget - 250k to 280k plus other ...

    Onsite
  • WootLab logo

    Data Analysis Trainer

    WootLabKatsina, Nigeria26 February

    We are committed to our customers’ success from start to finish We provide cutting edge technical solutions and premium software development services to ...

    Onsite
  • WootLab logo

    Productivity Tools Trainer

    WootLabKatsina, Nigeria26 February

    We are committed to our customers’ success from start to finish We provide cutting edge technical solutions and premium software development services to ...

    Onsite
  • WootLab logo

    Generative AI Trainer

    WootLabKatsina, Nigeria26 February

    We are committed to our customers’ success from start to finish We provide cutting edge technical solutions and premium software development services to ...

    Onsite
  • Speedaf Nigeria Limited logo

    Quality Control Associate

    Speedaf Nigeria Limit..Lagos, Nigeria26 February

    Speedaf Express is a joint-venture company formed from the YIWILL HOLDINGS and ZTO.We commit to reduce the end-to-end logistics costs while providing a stable ...

    Onsite
  • Netcom Africa logo

    Junior Business Analyst

    Netcom AfricaLagos, Nigeria26 February

    Built from the ground up for high-speed broadband IP communications, Netcom Africa Limited has been the leading ICT provider of corporate tailored solutions in ...

    Onsite
  • M-KOPA logo

    Digital Campaign Manager - Collections

    M-KOPALagos, Nigeria26 February

    M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our ...

    Remote
  • Century Industrial Fze logo

    Data Entry Officer

    Century Industrial Fz..Ogun, Nigeria25 February

    Century Industrial FZE, a subsidiary of the globally recognized Sunda International Group, is a leading FMCG company committed to enhancing everyday life ...

    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.