
About GoCardless
Streamlining recurring payments for businesses worldwide
Key Highlights
- Processes over $130B annually for 100,000+ businesses
- Raised $634.5M in total funding, including $312M Series G
- Operates in 30+ countries with a strong international presence
- Acquired Nordigen in 2022 to enhance OpenBanking functionality
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...
🎁 Benefits
GoCardless offers enhanced maternity, paternity, and shared parental pay, along with 27 days of holiday (excluding bank holidays) and a work-away sche...
🌟 Culture
GoCardless fosters a culture focused on innovation and efficiency in the subscription economy. The company emphasizes leveraging technology, such as i...
Skills & Technologies
Overview
GoCardless is hiring a Senior Data Scientist to enhance payment solutions using bank account data. You'll collaborate with engineers and product managers, leveraging skills in Python and SQL. This role requires expertise in machine learning and data analysis.
Job Description
Who you are
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, driving insights that inform business decisions. You are comfortable working with cross-functional teams, collaborating closely with software engineers, product managers, and designers to translate complex data into actionable strategies. Your experience in data visualization tools enables you to present findings clearly and persuasively to stakeholders. You are passionate about using data to solve real-world problems and improve payment success rates while minimizing fraud.
Desirable
Experience in the fintech industry is a plus, as is familiarity with open banking and payment systems. You have a keen interest in AI-powered solutions and are eager to stay updated with the latest advancements in data science and machine learning. You thrive in a collaborative environment and are open to mentoring junior data scientists, sharing your knowledge and expertise to help them grow.
What you'll do
As a Senior Data Scientist at GoCardless, you will own the full lifecycle of algorithms that enhance payment solutions. You will analyze bank account data to identify patterns and trends that can improve payment success rates and reduce fraud. Collaborating with the Payment Intelligence team, you will design and implement machine learning models that drive intelligent decision-making for our customers. You will also conduct experiments to validate the effectiveness of your models, iterating based on feedback and results. Your role will involve presenting your findings to stakeholders, ensuring that data-driven insights are integrated into product development and strategy.
What we offer
At GoCardless, we are committed to creating an inclusive and supportive work environment. We offer competitive compensation and benefits, including opportunities for professional development and growth. You will be part of a mission-driven team that values sustainability and is dedicated to reducing our environmental impact. Join us in shaping the future of payments and making a positive impact on businesses worldwide.
Interested in this role?
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