Hybrid Data Scientist: Impactful Analytics for UK Payments

Pay.UK Limited; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

30 days annual leave (excluding bank)

Employee assistance programme

Cycle to Work Scheme

Season ticket loan

Annual fitness subsidy up to £500

Working from home policy - min 40% in‑

Job summary

Pay.UK Limited is seeking a Data Scientist to turn complex data into clear insights and practical models across the UK payments landscape. You will work with colleagues to define data questions, shape analytical approaches and deliver repeatable methods for data and AI capability.

The role requires solid experience in Python and SQL, strong statistics and machine learning grounding, and the ability to communicate findings to non-technical stakeholders.

Qualifications

• Professional experience delivering analysis and predictive or statistical models.
• Solid applied experience using Python and SQL to extract, prepare, analyze, and model data.
• Strong grounding in statistics and machine learning with ability to choose and evaluate methods for real business questions.
• Experience presenting technical findings clearly to non-technical audiences via reports, visualisations or presentations.
• Experience working with large, complex datasets with quality checks, documentation and validation.

Responsibilities

• Analyse large and complex datasets to identify patterns, trends and risks relevant to Pay.UK’s services and operations.
• Build, test and refine statistical and machine learning models that support better forecasting, monitoring and decision-making.
• Prepare clear visualisations, reports and presentations that explain methods, findings and limitations in a straightforward way.
• Work with colleagues across business and technical teams to define data questions, shape analytical approaches and agree practical outputs.
• Translate business problems into structured analytical tasks, including data preparation, feature selection and model evaluation.
• Improve data quality and analytical processes by documenting methods, validating outputs and supporting good data practice.
• Use SQL and programming tools to extract, clean and transform data from multiple sources for analysis and modelling.
• Support the development of Pay.UK’s wider data and AI capability by contributing to repeatable methods, standards and shared learning.

Skills

Python

SQL

Statistics

Machine learning

Data visualization

Job description

Pay.UK Limited is seeking a Data Scientist to turn complex data into clear insights and practical models across the UK payments landscape. You will work with colleagues to define data questions, shape analytical approaches and deliver repeatable methods for data and AI capability.

The role requires solid experience in Python and SQL, strong statistics and machine learning grounding, and the ability to communicate findings to non-technical stakeholders.