Artificial Intelligence & Digital Transformation Analyst

Information is Power! Get new Jobs in your EmailEnter your Email below and click Subscribe: Subscribe Artificial Intelligence & Digital Transformation Analyst at Dangote Industries LimitedPosted on Wed 16th Sep, 2026 - hotnigerianjobs.com --- (0 comments) Dangote Group is one of Nigeria’s most diversified business conglomerates with a hard – earned reputation for excellent business practices and products’ quality with its operational headquarters in the bustling metropolis of Lagos, Nigeria in West Africa. We are recruiting to fill the position below: Job Title: Artificial Intelligence & Digital Transformation Analyst Location: Lagos Job Summary The Artificial Intelligence & Digital Transformation Analyst is responsible for supporting the identification, development, testing, deployment, and performance monitoring of AI and digital solutions across the Group. Unlike a conventional business analyst role, this is intended to be a technically capable AI role. The Analyst will work with business and plant teams to understand operational problems, interrogate data, develop analytical and machine-learning models, test algorithms and support the conversion of successful prototypes into deployed solutions. The role will work across industrial operations, machinery, maintenance, production, logistics, transport, commercial and corporate functions, supporting the Group’s ambition to use AI and digitisation to improve productivity, reliability, safety, resilience and decision-making. Job Responsibilities Identify business and operational problems suitable for AI and digital solutions. Work with business and plant teams to understand operational challenges and requirements. Analyse and interrogate data to support AI and machine-learning initiatives. Develop, test and evaluate analytical and machine-learning models. Support the development and deployment of AI and digital solution prototypes. Monitor the performance of deployed AI and digital solutions. Apply AI, machine learning and advanced analytics to improve productivity, reliability, safety and decision-making. Translate technical outputs into clear operational and commercial recommendations. Work closely with engineers, operators and plant leadership across the Group. Support the Group AI & Digitisation programme and its implementation across business units and plants. Qualifications & Experience Bachelor’s Degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical/Electronic Engineering, Robotics, Mathematics, Statistics or related quantitative discipline. Master’s degree in AI, Machine Learning, Data Science or related field would be advantageous. Relevant practical certifications in machine learning, cloud AI, data engineering, MLOps or industrial analytics would be advantageous. 3 - 6 years’ relevant experience in AI, data science, machine learning, advanced analytics or digital product development. Evidence of hands-on model development, whether through commercial deployments, research, engineering projects or a strong technical portfolio. Exposure to manufacturing, industrial, energy, logistics or other asset-intensive environments would be advantageous Functional & Technical Competencies: Strong working capability in Python and SQL. Practical experience with modern machine-learning frameworks and libraries. Ability to develop regression, classification, clustering, forecasting and anomaly-detection models. Understanding of neural networks/deep learning and generative AI/LLMs. Exposure to computer vision and image/video analytics. Understanding of time-series and industrial sensor data. Ability to design, train, test and evaluate machine-learning models and algorithms. Understanding of APIs, databases, data pipelines, cloud platforms and MLOps principles. Exposure to IoT/IIoT, industrial automation, digital twins or OT environments would be highly advantageous. Strong analytical and mathematical problem-solving capability. Ability to translate technical outputs into clear operational and commercial recommendations. Strong curiosity and experimentation mindset, balanced by disciplined model validation and governance. Ability and willingness to work directly with engineers, operators and plant leadership at operating sites. Application Closing Date Not Specified. Method of Application Interested and qualified candidates should: Click here to apply online Share this job: Independent National Electoral Commission (INEC) Nationwide Job Recruitment (7 Positions)Venite University Massive Academic and Non-academic Job Recruitment (298 Positions)Federal Road Safety Corps (FRSC) Job Recruitment (17 Positions)Independent National Electoral Commission (INEC) Job Recruitment (5 Positions)Federal Government of Nigeria Nationwide Engineering Mentorship Programme (Graduate Engineers & Skilled Artisans) - 11 PositionsNigeria Police Force (NPF) Massive Job Recruitment (29 Positions)Federal University of Environment and Technology, Koroma / Sakpenwa Massive Graduate and Exp. Academic and Non-academic Job Recruitment (260 Positions)Ahmadu Bello University (ABU) Non-academic Job Recruitment (14 Positions)University of Maiduguri Teaching Hospital (UMTH) Job Recruitment (34 Positions)David Umahi Federal University of Health Sciences (DUFUHS) Massive Academic and Non-academic Job Recruitment (129 Positions)Nigerian Content Development and Monitoring Board (NCDMB) Oil and Gas Field Readiness Training Program (10,000 Openings)University of Ibadan (UI) Massive Academic and Non-academic Job Recruitment (372 Positions)Federal University Oye-Ekiti (FUOYE) Massive Graduate and Exp. Academic and Non-Academic Job Recruitment (384 Positions)Nigerian Air Force List of Successful Candidates for Direct Short Service Commission Course (DSSC) 34 / 2025 Zonal General Aptitude TestAccess Bank Plc Entry Level & Exp. Job Recruitment (5 Positions) Comments (0) Post a Comment Name: * Email: * Comment: *

• Identify business and operational problems suitable for AI and digital solutions. • Work with business and plant teams to understand operational challenges and requirements. • Analyse and interrogate data to support AI and machine-learning initiatives. • Develop, test and evaluate analytical and machine-learning models. • Support the development and deployment of AI and digital solution prototypes. • Monitor the performance of deployed AI and digital solutions. • Apply AI, machine learning and advanced analytics to improve productivity, reliability, safety and decision-making. • Translate technical outputs into clear operational and commercial recommendations. • Work closely with engineers, operators and plant leadership across the Group. • Support the Group AI & Digitisation programme and its implementation across business units and plants. • Bachelor’s Degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical/Electronic Engineering, Robotics, Mathematics, Statistics or related quantitative discipline. • Master’s degree in AI, Machine Learning, Data Science or related field would be advantageous. • Relevant practical certifications in machine learning, cloud AI, data engineering, MLOps or industrial analytics would be advantageous. • 3 - 6 years’ relevant experience in AI, data science, machine learning, advanced analytics or digital product development. • Evidence of hands-on model development, whether through commercial deployments, research, engineering projects or a strong technical portfolio.