Analytical Strategy & Model Development
Develop and implement advanced mathematical, statistical, and machine learning models to address business problems and opportunities
Optimise analytical methodologies and ensure alignment with organisational strategy
Translate technical outputs into actionable business insights within approved architecture
Build predictive models and automation solutions to enhance efficiency, reduce costs, and drive revenue growth
Data Management & Governance
Source, prepare, and validate data for analysis, ensuring quality and reliability
Apply data wrangling principles to improve data integrity
Ensure compliance with privacy laws, ethical data use, and governance standards
Maintain and regularly update models for ongoing relevance and accuracy
Collaboration & Stakeholder Engagement
Partner with cross-functional teams to define metrics, delivery plans, and business information needs
Present analytical findings and recommendations to stakeholders in clear, visual formats
Mentor junior analysts and foster a culture of knowledge sharing and continuous improvement
Contribute to specialist communities and organisational learning initiatives
Innovation & Continuous Improvement
Employ advanced analytics technologies, including AI, machine learning, and deep learning
Conduct text analytics on unstructured data and apply pattern recognition for research
Stay abreast of emerging technologies and industry best practices to enhance analytical capabilities
 
Skills & Experience:
Strong proficiency in statistical modelling, machine learning, and predictive analytics
Advanced programming skills in R, Python, and experience with open-source platforms
Ability to visualise data insights effectively for varied audiences
Excellent problem-solving, communication, and stakeholder management skills
Proven track record in implementing AI and process automation solutions
Familiarity with compliance, governance, and risk management frameworks
 
Qualifications:
Minimum: Bachelor’s Degree in Mathematical Sciences, Statistics, Engineering, Computer Science, Econometrics, Physics, or Actuarial Science
Preferred: Honours or Master’s Degree
Minimum 5+ years’ experience in a senior data science role, with 1–2 years in a leadership or management capacity
 
 
For more information Contact:
Recruitment Consultant
Kayla Reddy: *****@*****.co.za

Connect with us on www.********.co.za and register your CV to create a profile and view all our financial recruitment vacancies.

AI & Machine Learning Strategy
Develop and implement JD Group’s AI/ML application roadmap
Lead migration of legacy analytics to AWS cloud-native AI/ML platforms
Design and maintain standards for open-source AI/ML algorithm usage
Orchestrate ML Ops toolchains and automate ML workflows
Data Science Leadership & Capability Development
Design and deliver data science training programmes
Conduct skills gap assessments and build team capabilities
Drive innovation in predictive modelling and decision intelligence
Technical Implementation
Apply modern software development best practices for scalable analytics
Ensure compliance with regulatory frameworks and organisational standards
Collaborate across functional teams to integrate AI/ML solutions into business processes
 
Skills & Experience:
Strong expertise in AI/ML strategy and implementation
Experience with AWS AI/ML platforms and cloud-native solutions
Proficiency in ML Ops orchestration and workflow automation
Advanced knowledge of open-source AI/ML algorithms and standards
Ability to lead training and capability development initiatives
 
Qualifications:
Degree in Data Science, Computer Science, Engineering, or related field.
Minimum 4+ years of experience in AI/ML strategy and implementation.
Experience in cloud environments and modern software development practices.
 
 
For more information contact:
Recruitment Consultant
Kayla Reddy: *****@*****.co.za

Connect with us on www.********.co.za and register your CV to create a profile and view all our financial recruitment vacancies.