Qualifications Education: Minimum of 4-year tertiary degree in Computer Science, Mathematics, Statistics, Data Science or related field Master’s Degree in a Data Science, AI/ML, Statistical or related field (preferred) MBA or Masters (advantageous) Experience: (8+ yrs of Relevant exp) 5 or more years of relevant work experience as a Data Engineer/ Data Scientist 4–6+ years applied data science; 2+ years owning production AI/ML. At least 3 years’ experience within a non-traditional Fin Tech, Banking or Financial Services Sector Experience in Data Science and Data Analysis with a specific focus on AI/ ML models within banking, finance and/or telecommunications industry Proven delivery of automated decisioning (recommendation/propensity/fraud/forecasting) with quantified business impact. Experience in Data Engineering within banking or financial services industry Understanding of enterprise-scale systems and technologies used in data infrastructures Experience of working in an Agile/Dev O...