About this role
Data Scientist Lead
- Job Type Full Time
- Qualification BA/BSc/HND , MBA/MSc/MA
- Experience 6 - 10 years
- Location Lagos
- Job Field ICT / Computer
Job Description
- The Senior Data Scientist will drive the design, development, adoption, and deployment of advanced analytics and AI solutions across all business units in the bank.
- The role will be responsible for collaborating with a team of data scientists in developing AI/ML models at scale, ensuring model governance and regulatory compliance, and supporting business units to embed AI into products, processes, and decision-making.
- The ideal candidate is both a strong technical leader and a strategic business partner.
- Support the development and execution of the bank’s Data Science & AI strategy in alignment with strategic business goals.
- Coordinate a team of data scientists and machine learning/AI developers in driving AI implementation across business and operations.
- Collaborate with senior business leaders to identify high-impact and emerging AI opportunities to gain a competitive edge.
- Oversee end-to-end delivery of machine learning models: data sourcing, feature engineering, model development, evaluation, deployment, and monitoring.
- Work closely with Data Engineering to ensure high-quality datasets for modeling.
- Ensure all models comply with internal model risk guidelines, CBN requirements, and global best practices.
- Stay updated with global AI trends, tools, and frameworks (GenAI, LLMs, RAG, agents, reinforcement learning).
- Lead Proof of Concept (PoC) and pilot initiatives for new AI capabilities.
Qualifications
- Bachelor’s degree in computer science, Statistics, Mathematics, Engineering, or related field..
- Master’s Degree and/or professional certifications (e.g., Azure ML, AWS ML, TensorFlow, Databricks, SAS, Agent orchestration, Microsoft Fabrics) can be an advantage.
Experience
- 6–10 years of experience in Data Science, Artificial Intelligence, or Machine Learning.
- Minimum 3 years in a senior technical role.
- Experience in banking or financial services is highly preferred.
- Proven track record of training and deploying ML and AI models to production at scale.
- Demonstrated experience with cloud platforms (particularly Microsoft Azure) and modern ML/AI tooling.
Additional Information:
Behavioural Competencies:
- Adopting Practical Approaches
- Articulating Information
- Challenging Ideas
- Developing Expertise
- Documenting Facts
- Embracing Change
- Interpreting Data
- Managing Tasks
Technical Competencies:
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Big Data Frameworks and Tools
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Data Engineering
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Data Integrity
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IT Knowledge
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Stakeholder Management (IT).
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