Are you ready to write your next chapter?

Make your mark at one of the biggest names in payments. With proven technology, we process the largest volume of payments in the world, driving the global economy every day. When you join Worldpay, you join a global community of experts and changemakers, working to reinvent an industry by constantly evolving how we work and making the way millions of people pay easier, every day.

What makes a Worldpayer? It’s simple: Think, Act, Win. We stay curious, always asking the right questions to be better every day, finding creative solutions to simplify the complex. We’re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we’re determined, always staying open – winning and failing as one.

We’re looking for a Senior Data Scientist – Customer Value Management to join our ever-evolving Global SMB team to help us unleash the potential of every business.

Are you ready to make your mark? Then you sound like a Worldpayer.

About the team:

As a forward-thinking finance company based in London, we specialize in innovative payment solutions aimed at streamlining and enhancing the 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. Join our dynamic team and play a crucial role in driving new business generation and shaping the future of payments.

We are in search of a Senior Data Scientist with a strong background in payments and a knack for customer value optimization. This role is pivotal for our Existing Customer Management efforts, using advanced analytics and machine learning to identify opportunities and engage existing customers. The ideal candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth.

What you’ll own:

• Utilize advanced data analytics, machine learning algorithms to identify existing customer management opportunities that drive growth.

• Design and implement propensity models to increase product adoption and engagement from customers. These include cross-sales strategies, retention and dormancy re-activation.

• Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and engagement strategies.

• Leverage Natural Language Processing algorithms to analyze service data (calls, texts) to derive customer sentiment and use that in engagement strategies.

• Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models ranging from early dormancy, product propensities and service actions.

• Work closely with the service teams and Relationship Management teams to understand sales/service journeys and develop insights that improve conversions.

• Develop and maintain Python/SQL-based automated workflows for efficient data preparation, modelling and execution of marketing/prospecting strategies.

• Present data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives.

• Continuously monitor the effectiveness of customer management strategies and adjust models and approaches based on performance data and stakeholder feedback.

Where you’ll own it:

You’ll own it in our London hub. With hubs in the heart of city centers and tech capitals, things move fast. We pride ourselves on being an agile and dynamic collective, collaborating with different teams and offices across the globe.

What you bring:

• Proven experience in data science with a focus on Value Optimization, Cross-sales, Retention and Engagement.

• Expert in Python and SQL and experience with data preparation, cleansing, feature engineering and modelling.

• Expertise in building and deploying machine learning models, especially related to customer behavior, segmentation, and propensity analysis.

• Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes.

• Experience in leveraging test and learn frameworks to articulate incremental impacts and using them to help the business make informed decisions.

• Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines.

• Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Engineering, Finance, or a related field.

Desirable (not required):
- Experience of working in a Snowflake platform environment
- Working with API’s
- Experience integrating data solutions with Salesforce CRM
- Payments and SME business knowledge

Worldpay perks - what we’ll bring for you:

We know it’s bigger than just your career. It’s your life, and your world. That’s why we offer global benefits and programs to support you at every stage. Here’s a taste of what you can expect.

• A competitive salary and benefits.

• Time to support charities and give back to your community.

• Parental leave policy.

• Global recognition platform.

• Virgin Pulse access.

• Global employee assistance program.

What makes a Worldpayer

At Worldpay, we take our Values seriously, and we live them every day. Think like a customer, Act like an owner, and Win as a team.

• Curious. Humble. Creative. We ask the right questions, listening and learning to get better every day. We simplify the complex and we’re always looking to create a bigger impact for our colleagues and customers.

• Empowered. Accountable. Dynamic. We stay agile, using our initiative, taking calculated risks to progress. Never standing still, never settling, we work at pace to achieve our goals. We champion our ideas and stay flexible to make them happen. We know that every action adds up.

• Determined. Inclusive. Open. Unlocking potential means working as one global community. Our work spans borders, and we stay united by our purpose. We collaborate, always encouraging others to perform at their best, welcoming new perspectives.

Does this sound like you? Then you sound like a Worldpayer.

Apply now to write the next chapter in your career. We can’t wait to hear from you.

To find out more about working with us, find us on LinkedIn.

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Privacy Statement

Worldpay is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how Worldpay protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at Worldpay works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. Worldpay does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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