Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensitymodelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter more »
Responsibilities: Utilise advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client engagement and conversion rates, optimising our prospecting strategies. Analyse transactional and financial data to uncover trends and insights that … SQL and experience with data preparation, cleaning, and manipulation. Expertise in building and deploying machine learning models, especially related to customer behaviour, segmentation, and propensity analysis. Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability more »
