Scientist, Data at Standard Bank - UK

Lagos, Lagos, Nigeria -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Artificial Intelligence, Machine Learning, Cloud Platforms, Microsoft Azure, MLOps, AIOps, Predictive Modeling, Prescriptive Modeling, Generative AI, Feature Engineering, Model Governance, Regulatory Compliance, Stakeholder Management, Big Data Frameworks, Data Engineering

Industry

Financial Services

Description

Company Description Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you. Job Description To 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. Oversee end-to-end delivery of machine learning models: data sourcing, feature engineering, model development, evaluation, deployment, and monitoring. Develop predictive, prescriptive, and generative AI models for use cases such as credit scoring, fraud detection, personalisation, chatbot agents, agentic AI for payment and process improvements, etc. Define and implement scalable MLOps and AIOps pipelines for model deployment, monitoring, and lifecycle management. Lead Proof of Concept (PoC) and pilot initiatives for new AI capabilities. Qualifications BSc 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 added advantage. Experience 5-6 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 strongly preferred. 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: Big Data Frameworks and Tools Data Engineering Data Integrity IT Knowledge Stakeholder Management (IT) Business Segment: Group Functions

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Responsibilities

The role involves driving the design, development, adoption, and deployment of advanced analytics and AI solutions across all business units in the bank. The candidate will collaborate with a team of data scientists to develop AI/ML models at scale and ensure model governance and regulatory compliance.