Middle Data Scientist in Fintech Farm

Middle Data Scientist віддалено About Fintech Farm Weare aUK fintech creating successful neobanks inemerging markets inpartnerships with local traditional banks. Our success builds upon abest-in-class product, customer experience, emotional engagement, viral marketing, and deep credit decisioning expertise. One ofour founders had previously co-founded ahighly successful Eastern European neobank with amulti-million customer base. Welaunched our first market with Leobank inAzerbaijan in2021, where wehave already established market-leading positions. Our next market was Vietnam, where welaunched Liobank inearly 2023 and also gained solid traction. Wehave afew more new markets inthe pipeline for the next 12months, and weare starting tobuild the team there. Why Fintech Farm isagreat place tobe Our ambition. Weare looking tobecome aleading consumer digital bank brand ineach ofthe markets weoperate making iteasy for consumers tointeract with their money. You could beapart ofthis exciting journey. Our culture. Common sense rather than formal policies prevail inall that wedo. Wehave nosubordinates, weare all partners inthis. Wework with strong individuals whom weempower and trust rather than micromanage. Each ofus thinks big, acts like they own the place, and never takes “No” asananswer. Werelentlessly pursue excellence, pushing ourselves and our products toget better than the day before. Welike Mondays more than Fridays asweare always hungry for new challenges and opportunities. Excitement and enthusiasm drive our workweek. What You Will BeDoing Develop and implement risk-scoring models toassess client creditworthiness, including both application and behavioral models. Perform feature engineering processes toenhance the quality and efficiency ofpredictive models. Analyze data toidentify new opportunities and trends that can beutilized toimprove scoring models. Collaborate with development teams and business analysts tointegrate models into business processes. Monitor and analyze the performance ofmodels inproduction, and propose and implement improvements. Who you are 2to4years ofexperience inData Science, with proven experience inbuilding scoring models. Deep knowledge and practical experience inmachine learning and statistical analysis. Experience with the Python programming language and libraries for data processing and machine learning (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch). Skills infeature engineering and model selection for solving specific tasks. Ability toanalyze large volumes ofdata and turn analytical insights into concrete actions. Experience with SQL and databases. Ability towork independently and aspart ofateam, aswell asinteract with non-technical colleagues. What weare offering Competitive salary negotiable depending onthe candidate’s level Share options Weare still astart-up and more benefits are onthe way