Data Science Manager

Who you are

You have 5+ years of experience in data science, with a strong background in machine learning and data analysis — you've successfully led teams in developing algorithms that drive business impact and improve operational efficiency. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, ensuring data-driven decision-making across the organization.

You possess excellent communication skills, enabling you to collaborate effectively with cross-functional teams, including software engineers, product managers, and designers — you understand the importance of translating complex data insights into actionable strategies that align with business goals. Your experience in data visualization tools helps you present findings in a clear and compelling manner, making it easy for stakeholders to grasp key insights.

You are passionate about using data to solve real-world problems, particularly in the payments industry — you stay updated on the latest trends and technologies in data science and are eager to implement innovative solutions that enhance user experiences. Your leadership style fosters a collaborative environment where team members feel empowered to share ideas and contribute to projects.

Desirable

Experience in the fintech sector is a plus, as it gives you a deeper understanding of the challenges and opportunities in payment processing — familiarity with open banking and direct debit systems will help you navigate the complexities of the industry. You are also comfortable working with AI-powered solutions, as you recognize their potential to transform payment success rates and reduce fraud.

What you'll do

As a Data Science Manager at GoCardless, you will lead the Payment Intelligence team, overseeing the full lifecycle of algorithms from concept to deployment — you will be responsible for shaping the direction of data initiatives that enhance payment success and drive fraud prevention. Your role will involve collaborating closely with software engineers to integrate data solutions into existing systems, ensuring seamless functionality and performance.

You will mentor and guide your team, fostering a culture of continuous learning and improvement — you will encourage team members to explore new methodologies and technologies, helping them grow in their careers while delivering high-quality results. You will also work with product managers to define project objectives and success metrics, ensuring alignment with overall business strategies.

Your analytical skills will be crucial in identifying trends and patterns within payment data, allowing you to make informed recommendations that drive business growth — you will leverage machine learning techniques to develop predictive models that enhance customer experiences and optimize payment processes. Additionally, you will present your findings to stakeholders, translating complex data insights into actionable strategies that support decision-making.

What we offer

At GoCardless, we are committed to creating an inclusive and supportive work environment — we offer competitive compensation packages and opportunities for professional development. You will have access to resources that help you stay at the forefront of data science and machine learning, enabling you to make a significant impact in the payments industry. Join us in our mission to simplify payments for businesses worldwide and contribute to a sustainable future.