Senior Data Scientist​/Engineer - Commercial Optimisation

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 World payer? 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 World payer 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/Engineer – Commercial Optimisation 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 World payer.

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/Engineer with a strong background in finance and a knack for new business generation. This role is pivotal for our lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector. The ideal candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand our market presence.

• Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry.
• 5 + years experience working as a Data Scientist and Data Engineer.
• Design and implement propensity models to predict potential client engagement and conversion rates, optimizing our prospecting strategies.
• Analyze transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies.
• Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models.
• Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts.
• 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 lead generation strategies and adjust models and approaches based on performance data and market feedback.

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.

• Proven experience in data science with a focus on targeted marketing, lead generation and new business development.
• Expert in Python and SQL and experience with data preparation, cleaning, 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.
• 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, Finance, or a related field.

• Experien…