Senior Data Scientist

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 headquarters based in Cincinnati, 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

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 xwithin 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.
Worldpay is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $123,810. 00 - $207,980. 00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.

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.
EEOC Statement
Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here.

For positions located in the US, the following conditions apply. If you are made a .