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Home›Jobs›GoCardless›Senior Data Scientist
GoCardless

About GoCardless

Streamlining recurring payments for businesses worldwide

🏢 Tech, Finance, Financial Services👥 501-1000 employees📅 Founded 2011📍 Clerkenwell, London, UK💰 $634.5m⭐ 3.8
FintechB2BPaymentsFinancial Services

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...

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GoCardless

Senior Data Scientist

GoCardless • Riga, Latvia

Posted 1d agoSeniorData scientist📍 Riga
Apply Now →

Skills & Technologies

PythonSQLMachine learningData analysisData visualization

Overview

GoCardless is seeking a Senior Data Scientist to enhance payment solutions through data-driven insights. You'll collaborate with cross-functional teams and leverage your expertise in Python and SQL. This role requires a strong background 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, turning raw data into actionable insights. You are comfortable working with various data visualization tools to communicate findings clearly to stakeholders. You thrive in collaborative environments, partnering with software engineers, product managers, and designers to drive innovative solutions. Your problem-solving skills enable you to tackle complex challenges, and you are passionate about leveraging data to improve payment success rates and reduce fraud. You understand the importance of data quality and are committed to maintaining high standards in your work.

Desirable

Experience with AI-powered solutions and familiarity with payment systems would be a plus. Knowledge of additional programming languages or tools such as R or Tableau can enhance your contributions to the team.

What you'll do

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 develop intelligent payment solutions that enhance customer experiences. Collaborating closely with cross-functional teams, you will identify opportunities for improvement and implement data-driven strategies to optimize payment processes. Your role will involve designing experiments to test hypotheses and validate the effectiveness of your models. You will also be responsible for monitoring the performance of algorithms in production and iterating on them based on real-world feedback. Your insights will directly impact the company's ability to process payments efficiently and securely, contributing to the overall mission of GoCardless.

What we offer

At GoCardless, we are committed to fostering 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 dynamic team that values collaboration and innovation, working towards a common goal of transforming the payment landscape. Our commitment to sustainability and reducing our environmental impact is reflected in our initiatives and company culture. Join us in making a meaningful impact in the world of payments.

Interested in this role?

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