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Artificial Intelligence & Digital Transformation Analyst
About this role
The Dangote Group in Lagos seeks a technically oriented Artificial Intelligence and Digital Transformation Analyst to identify, develop, test, deploy and monitor AI and digital solutions across its operations. The role works with business and plant teams to translate operational problems into data-driven models and prototypes, applying AI to improve productivity, reliability, safety and decision-making.
What you would do
- Identify business and operational problems suitable for AI and digital solutions.
- Collaborate with business and plant teams to understand operational challenges and requirements.
- Analyse data and 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.
- Translate technical outputs into clear operational and commercial recommendations and work with engineers, operators and plant leadership.
What they are asking for
- Bachelor's degree in AI, ML, Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical/Electronic Engineering, Robotics, Mathematics, Statistics or related quantitative discipline.
- Master's degree in AI, ML, Data Science or related field 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.
- 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 time-series data.
- Exposure to manufacturing, industrial, energy or logistics environments would be advantageous; knowledge 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.
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