Michael Okelola

Senior data scientist with over 12 years of experience delivering practical, production-ready AI systems across regulated industries. I specialise in building production ready products, agentic AI platforms, LLM-powered automation, and end-to-end analytical solutions that improve operational efficiency and support strategic decision-making. My background blends strong mathematical foundations (PhD, Applied Mathematics) with hands-on engineering.

I focus on designing systems that are technically robust, business-aligned, and easy for teams to adopt. I enjoy leading projects from concept to deployment, mentoring teams, and creating solutions that stand up in real-world environments.

Senior Data Scientist - Super Group - London, UK

(2021-02)

I lead the development of Agentic AI solutions across Betway group – a subsidiary of Super Group, working closely with operational, compliance, marketing, and leadership teams to deliver systems that solve real business problems.

• Agentic AI Hub - Founder & Lead Architect: Built a still-growing Agentic AI Hub from the ground up - a central platform that brings together autonomous agents, workflow automation, case-management tracking, SSO authentication, and business analytics.
• The hub now supports multiple teams including Marketing Effectiveness, Product Analytics, Retention, Customer Acquisition, Financial Crime (AML, EDD, Investigations), Safer Gambling, Social Media & Brand Reputation, Knowledge Retrieval & Internal Search, HR & Operational Development.
• 150% productivity uplift for AML Investigations
• 70% uplift for Enhanced Due Diligence
• 30% uplift for Safer Gambling
• 3% savings in marketing spend
• >90% reduction in internal data search time for CRM and Analytics
• £1.5M annual fraud prevention through facial-recognition AI
• 50% faster hiring cycles through HR automation
• Designed a modular, multi-agent architecture combining LLMs, RAG pipelines, deterministic logic, and orchestration layers.
• Delivered secure, SSO-enabled AI tools used daily by more than 100 internal stakeholders.
• Built real-time dashboards and analytics that support operational and leadership decision-making.
• Implemented RAG-LLM systems that allow teams to retrieve internal knowledge and company metrics in seconds.
• Mentored data scientists on AI engineering, solution design, and communicating technical work to non-technical audiences.
• Championed AI agents' adoption across the business, helping shape long-term automation strategy.

Senior Data Scientist - Digital Outsource Services - Cape Town, South Africa

(2018-01 - 2021-01)

• Built a Source of Wealth AI tool combining internet and on-prem data to support AML compliance.
• Developed a customer remorse model to identify likely chargebacks.
• Built a fraud detection model that prevented significant regulatory penalties.
• Implemented time-series forecasting to predict customer activity surges.
• Created an automated website error classification system, reducing resolution times to under a minute.
• Built a call-centre reactivation ranking model, increasing quarterly revenue by 10%.
• Designed a customer behaviour limit model to support safer gambling practices.

Data Scientist - Keyrus - South Africa

(2016-01 - 2017-12)

• Built a smart debt-collection model, improving recovery by 15% in one year.
• Designed a skills-based routing model for call centres.
• Built an internet reputation monitoring model for near-real-time brand tracking.
• Delivered an affiliate acquisition model to support onboarding decisions.

PhD - Applied Mathematics - University of KwaZulu-Natal (2011 - 2013)

Master's - Applied Mathematics - University of KwaZulu-Natal (2010 - 2010)

Postgraduate Diploma - Mathematical Sciences - University of Cape Town (2008 - 2009)

Bachelor's - Mathematics - Bowen University (2003 - 2007)