Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Ready to take your career global? Make your mark at one of the biggest names in payments. We’re looking for a Senior Data Scientist/Engineer – Commercial Optimisation to join our ever-evolving Global SMB team and help shape the future of global commerce. You will utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry. Your responsibilities will include designing and implementing propensity models to predict potential client engagement and conversion rates, optimizing prospecting strategies, and analyzing transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies. You will identify and evaluate new data sources to support and drive improvements in predictive models, work closely with marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts. Additionally, you will develop and maintain Python/SQL-based automated workflows for efficient data preparation, modeling, and execution of marketing and prospecting strategies. Presenting data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives will be key, as well as continuously monitoring the effectiveness of lead generation strategies and adjusting models based on performance data and market feedback. Join a forward-thinking finance company based in London specializing in innovative payment solutions aimed at streamlining and enhancing payment processes for businesses and consumers. Our mission is to revolutionize the payments industry by leveraging cutting-edge technology and data-driven insights to foster financial inclusion and efficiency. This role is pivotal for lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector. The ideal candidate will combine technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand market presence.

Experience
5+ years experience working as a Data Scientist and Data Engineer with a focus on targeted marketing, lead generation, and new business development. Proven expertise in building and deploying machine learning models related to customer behaviour, segmentation, and propensity analysis.

About you
Expert in Python and SQL with strong skills in data preparation, cleaning, and modelling. Excellent analytical and problem-solving abilities with a track record of translating data insights into successful business outcomes. Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines.

Qualifications
Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Finance, or a related field.