Streamlining recurring payments for businesses worldwide
GoCardless is a leading fintech company headquartered in Clerkenwell, London, specializing in recurring payments. With over 100,000 businesses relying on its services, GoCardless processes more than $130 billion annually across 30+ countries. The company has raised $634.5 million in funding, includi...
GoCardless offers enhanced maternity, paternity, and shared parental pay, along with 27 days of holiday (excluding bank holidays) and a work-away sche...
GoCardless fosters a culture focused on innovation and efficiency in the subscription economy. The company emphasizes leveraging technology, such as i...
GoCardless • Lisbon, Portugal
GoCardless is hiring a Senior Data Scientist to enhance payment solutions through data-driven insights. You'll collaborate with engineers and product managers, utilizing skills in Python, SQL, and machine learning. This role requires significant experience in data analysis and visualization.
You have 5+ years of experience in data science, with a strong foundation in statistical analysis and machine learning techniques. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, turning complex data into actionable insights. You are skilled in data visualization tools, enabling you to present findings clearly to stakeholders. You thrive in collaborative environments, working closely with software engineers, product managers, and designers to drive data-driven decision-making. You understand the importance of data integrity and quality, ensuring that the algorithms you develop are robust and reliable. You are passionate about leveraging data to improve payment success rates and reduce fraud, contributing to the overall mission of GoCardless.
Experience with AI-powered solutions and familiarity with open banking concepts would be advantageous. A background in the fintech industry is a plus, as it provides context for the challenges and opportunities in payment processing.
As a Senior Data Scientist at GoCardless, you will own the full lifecycle of algorithms, from conception to deployment. You will analyze bank account data to enhance payment solutions, focusing on improving success rates and minimizing fraud. Collaborating with cross-functional teams, you will translate business requirements into technical specifications, ensuring that your work aligns with the company's strategic goals. You will conduct experiments to validate your models, iterating based on feedback and performance metrics. Your role will involve mentoring junior data scientists, sharing your knowledge and best practices to foster a culture of learning within the team. You will also engage with stakeholders to communicate your findings and recommendations, influencing product development and strategy.
At GoCardless, we are committed to creating an inclusive and supportive work environment. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a mission-driven company that values sustainability and is actively working towards reducing its environmental impact. Join us in shaping the future of payments and making a meaningful difference for businesses around the world.
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