Data Scientist Lead  Walter Carrington Crescent

The Data Scientist Lead at Stanbic IBTC Bank will drive advanced analytics and AI solutions across business units, collaborate with data scientists to develop AI/ML models, and ensure regulatory compliance and model governance.

---

Stanbic IBTC Bank is a leading African banking group focused on emerging markets globally. It has been a mainstay of South Africa's financial system for 150 years, and now spans 16 countries across the African continent.

Standard Bank is a firm believer in technical innovation, to help us guarantee exceptional client service and leading edge financial solutions. Our growing global success reflects our commitment to the latest solutions, the best people, and a uniquely flexible and vibrant working culture. To help us drive our success into the future, we are looking for resourceful individuals to join our dedicated team at our offices. We are  recruiting to fill the position below:

 Job Title: Data Scientist Lead

Location: Walter Carrington Crescent, Lagos

Job Type: Full-time

Business Segment: Group Functions Jobposting service Discover moreFeatured jobs listingJob search filterSearch JobsJob Description Jobposting service

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.

Responsibilties

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.

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.

6–10 years of experience in Data Science, Artificial Intelligence, or Machine Learning. Minimum of 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.

Adopting Practical Approaches Articulating Information Challenging Ideas Developing Expertise Documenting Facts Embracing Change Interpreting Data Managing Tasks.

Big Data Frameworks and Tools Data Engineering Data Integrity IT Knowledge Stakeholder Management (IT).

Not Specified. How to Apply

Click Apply Now button to apply