A Bachelors degree (in something terrifying like Stats, Data Science, Maths, Economics, or “a related field” And no ‘years of experience Googling solutions’ does not counts!) Minimum 5 years in a Fintech data science role (read: you’ve survived start-up chaos, regulatory hoops, and possibly a coworker named Brett who insists on using the word ‘synergy’ unironically) Fluency in Python, SQL, and machine learning things (scikit-learn, XGBoost, LightGBM basically alphabet soup of data wizardry) Solid grasp of credit risk modeling, scorecards, and being able to explain it without everyone falling asleep Communication skills strong enough to survive meetings where everyones mic is off and no one responds Experience with “alternative data sources” (translation: you once used TikTok data to predict consumer behaviour, and it worked emphasis on ONCE) Bonus if youve worked in BNPL, fintech lending, or fraud analytics (basically: anything that sounds like a subplot in a Netflix thriller) Oh, and if you know your way around Google Cloud chefs kiss Feeling personally attacked by how well this job knows what it wants? Then, by all means, put on your best blazer, channel your inner tech goddess, and apply immediately before someone younger, with more ironic tote bags and a degree in Machine Learning from somewhere Scandinavian, gets there first. Contact Chelsea Fisher on

As a Data Scientist, youll investigate complex datasets using Python, SQL, BigQuery, and Looker to uncover meaningful insights. Youll partner with stakeholders to design data-driven solutions, optimise business processes, and influence strategic decisions across financial services. This role is all about turning data puzzles into clear, actionable outcomes. Skills & Experience: Minimum 3 years in data science or similar role, ideally within financial services Proficiency in Python, SQL, R, Google Looker, and BigQuery Strong statistical analysis and data modeling expertise Excellent problem-solving and communication skills Familiarity with data governance and privacy best practices Qualification: Bachelors or Masters in Mathematics, Statistics, Computer Science, Data Science/Analytics, or related field Contact DYLAN MAWONA on dmawona

Key Responsibilities: Collect, extract, and compile data from multiple sources, ensuring accuracy and consistency. Clean and transform raw data into structured, usable datasets. Conduct exploratory and statistical analysis to identify trends and patterns. Build and maintain scorecards, models, and reports to support decision-making. Use data visualization techniques to present insights clearly to stakeholders. Provide analytical support for projects including market analysis, customer segmentation, and performance tracking. Identify opportunities to streamline processes, increase efficiency, and optimize revenue. Stay up to date with emerging technologies, tools, and best practices in data science and analytics. Requirements: Bachelors or Masters degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or a related field. 5 years of proven experience as a Data Scientist or in a similar role, preferably within credit or financial services. Proficiency in Google Cloud Platform (GCP), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker. Strong analytical and problem-solving skills with experience handling large datasets. Solid knowledge of statistical analysis and data modeling. Excellent communication and presentation skills. Strong working knowledge of Microsoft Excel and other data manipulation tools. Familiarity with data governance and awareness of data privacy regulations is a plus. Whats in it for You? A chance to work in a high-growth, innovative environment. Opportunities to make a tangible impact through data-driven decision-making. Continuous professional development and learning opportunities. Dont miss out apply today!