Senior Data Scientist | London
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 to join the Worldpay Technology Data team to help enable AI & ML products across the organization and 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 with international headquarters 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 AI & ML products to shape the future of payments.
We are in search of a Senior Data Scientist with a strong background in developing AI & ML solutions to join our growing team within Technology that’s enables the entire organization. Partnering with our business colleagues you will use advanced analytics and machine learning to identify opportunities across our merchant base, internal technology and product teams, to build impactful solutions deployed on our cloud infrastructure. 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
- Collaborate with business partners to understand and document requirements with specific use cases
- Data analysis through collecting, processing, and analyzing large data sets from various sources across the business
- Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models
- Utilize advanced data analytics, statistical analysis, hypothesis testing and develop machine learning algorithms to provide business value from data products
- Implement and deploy models and ML algorithms into a production environment with all the necessary controls in place
- Create data visualizations and dashboards to communicate findings to stakeholders
- Stay up-to-date with the latest trends and technologies in data science and machine learning
- Ensure data quality and integrity throughout the data lifecycle, developing reusable patterns
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
- Strong knowledge in data science theory, machine learning, artificial intelligence, statistical modelling, data visualization, and data analysis
- Experience with data preparation, cleansing, feature engineering and modelling
- Excellent programming skills, preferably in Python
- Solid understanding of databases architecture and SQL language
- Experience in delivering within cloud based data platforms
- Experience with AWS, Snowflake and Databrick plus other cloud-based environment and tools
- Experience working in Agile cross-functional teams in a project-based environment
- Excellent verbal and written communication skills to technical and non-technical audiences of various levels in the organization
- Excellent analytical, decision-making and problem-solving skills
- Aware of DevOps and MLOps best practices, and hands-on experience with automation, Github, Docker, CI/CD.
- Masters degree with 1 years of data science experience or PhD in Applied Mathematics, Engineering or Computer Science or the equivalent combination of education, training, and work experience.
Added Bonus If You Have
- Experience working with very large volumes of data
- Experience of payments and payment data
- Knowledge of financial services industry especially payment processing
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.
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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