Fraud-Fighting Data Scientist (Payments Analytics)

Pay.UK; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading UK payment systems operator is seeking a Data Scientist in London for a full-time role. The successful candidate will work on building predictive models, managing the data science project lifecycle, and collaborating to deliver insights that support business decisions. Ideal candidates will have a strong background in data science with advanced knowledge of Python and statistical techniques, alongside experience in the financial services sector. A commitment to diversity and inclusivity is valued in our work environment.

Benefits

12% Non-contributory pension

Discretionary annual bonus

30 days annual leave

Private medical insurance

Employee assistance programme

Cycle to Work Scheme

Qualifications

• Professional experience in data science and statistical methods with real data problems.
• Advanced knowledge in Python or R coding.
• Experience in building predictive models and advanced statistical forecasting.

Responsibilities

• Work with Big Data technologies to shape the development of analytical insight delivery.
• Measure results and identify key underlying trends.
• Present findings to key stakeholders and input to conversations on strategies.

Skills

Python

Statistical methods

Data visualization

SQL

Machine learning

Education

Degree in a STEM subject

Tools

Power BI

Tableau

Anaconda

Jupyter

Databricks

Job description

A leading UK payment systems operator is seeking a Data Scientist in London for a full-time role. The successful candidate will work on building predictive models, managing the data science project lifecycle, and collaborating to deliver insights that support business decisions. Ideal candidates will have a strong background in data science with advanced knowledge of Python and statistical techniques, alongside experience in the financial services sector. A commitment to diversity and inclusivity is valued in our work environment.