Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

Worldpay
City of London
2 days ago
Create job alert

Are you ready to write your next chapter?


Make your mark at one of the biggest names in payments. We're looking for a Senior Data Scientist to join our ever evolving Authorisation Management Performance team and help us unleash the potential of every business.


What you'll own as the Senior Data Scientist

As a Senior Data Scientist, you will lead efforts to forecast trends and automate processes using complex, unstructured data. You'll design predictive models and algorithms to drive payment optimisation and strategic decision-making.


Working with a diverse and cross border team, you'll be responsible for developing, interpreting, and implementing concepts for uplifting authorisation approvals and controls.


Key Responsibilities

  • Primary Focus - Predictive & Prescriptive - building models to forecast future trends using large, complex, unstructured data.
  • Build predictive and prescriptive models using machine learning and big data models.
  • Implement algorithms to automate analysis processes.
  • Deliver automated insights and visual summaries for stakeholders.
  • Explore open-ended business challenges and design experiments.
  • Translate data into new/enhanced capability and functionality requirements.
  • Output should show payment optimisation insights with solution recommendations to key stakeholders and decision makers.

Key areas in which you will add value

  • Own the responsibility for identifying and resolving the biggest authorization issues, from identifying issues through dashboards and data interrogation to owning the resolution and tracking impact delivered.
  • Collaborate internally to submit issues for resolution, track success, and refine the operating model between teams for greatest success.
  • Use analytics and insights to identify areas for improvement, bottlenecks, and opportunities on authorization issue investigation.
  • Establish robust impact tracking to demonstrate authorization enhancement programme achievements, shared to senior leadership.
  • Facilitate the exchange of feature requests between the authorization teams and tooling team for continuous development of authorisation monitoring tooling (executive & operational dashboards, root cause analysis, near‑time alerting, etc.).
  • Support the development of a knowledge codification library for the broader authorization team, and cross‑team learning and alignment calls with key stakeholders.

What you'll bring

  • Bachelor's degree in computer science or equivalent proficiency in programming languages, ML libraries, and big data platforms.
  • Strong knowledge of the payments industry & IT technologies.
  • Desirable but not essential: broad knowledge of Worldpay products and related services; in-depth knowledge of products and services for which teams provide support.
  • Excellent verbal and written communication skills to technical and non‑technical audiences at various levels: executive, management, individual contributors.
  • Experience in authorization investigation and resolution.
  • Excellent problem‑solving and time‑management skills.
  • Willingly share knowledge and expertise with other resources.
  • Ability to work independently and collaboratively.
  • Deep understanding of the payments industry and authorization pathways (e.g., gateways, platforms, acquirers, networks, issuers, etc.).
  • Experience with authorization investigation & resolution; strong analytical skills to understand investigation approaches and tackle complex matters.
  • Strong leadership and communication skills, and strong project management skills.
  • Understanding (but not detailed expertise) of requirements for engineering ticket submissions and converting business requirements to product stories, PI process, etc.
  • Some flexibility of hours is required.

Bonus

  • Strong existing connections within the Worldpay business (e.g., product, commercial or operational) & ability to drive new cross‑business collaboration.
  • Knowledge and experience with differing platforms (e.g., WPG, VAP, NAP) and merchant profiles (e.g., needs and issues of smaller vs larger merchants).

To learn more about the behaviors we value, checkout our values and behaviors.


About the team

Worldpay aims to ensure that consumers experience successful transactions every time they are spent. To support this goal, Worldpay has established a dedicated team focused on Authorization Rates. The team is a key pillar within our new structure, focusing on improving authorization performance globally. The team will proactively identify the biggest issues affecting our authorization performance using dashboards, proactive analysis, and submissions from RMs, prioritise effort on the most important issues, and own the investigation and resolution.


What makes a Worldpayer? It's simple: Think, Act, Win. We stay curious, always asking the right questions and 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 and winning and failing as one.


Would you like to be a Worldpayer? Apply now to write the next chapter in your career.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Earth Observation - Energy Aspects

Senior Data Scientist

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.