

Square One Resources
Data Scientist - Credit Risk & Fraud
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist - Credit Risk & Fraud, offering an initial 12-month contract at £500 - £560 per day, based in Cardiff/Remote. Key skills include credit and fraud modeling, data mining, and proficiency in Python or R.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
560
-
🗓️ - Date
June 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Strategy #Computer Science #Mathematics #R #ML (Machine Learning) #Data Mining #Risk Analysis #Migration #Statistics #Data Science #Datasets #Cloud #Python
Role description
Job Title: Data Scientist - Credit & Fraud Risk
Location: Cardiff/Remote
Salary/Rate: £500 - 560 per day inside IR35
Start Date: June
Job Type: Initial 12-month contract
Company Introductio
nWe have an exciting opportunity now available with one of our sector-leading data analytics clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions
.
Job Responsibilities/Objectiv
esThis role is focused on supporting day-to-day analytical activities across customer portfolios, including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environment
s.The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring technique
s.
Required Skills/Experie
nceThe ideal candidate will have the followi
ng:Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science pee
• rs.
Credit and fraud modelling experi
• enceHave degree in computer science, mathematics, statistics or quantitative methods (or equivalent experien
• ce).Have good understanding of statistical methods applied to data analy
• sis.Have user experience of Cloud capabilities, preferred Databri
• cks.Have user experience of coding languages for data science and machine learning (e.g. Python,
• R).Have good written communication skills, including the ability to describe statistical results to non-statistical audien
• ces.Experience processing large data sets and matching/merging multiple data s
ets.
Job Title: Data Scientist - Credit & Fraud Risk
Location: Cardiff/Remote
Salary/Rate: £500 - 560 per day inside IR35
Start Date: June
Job Type: Initial 12-month contract
Company Introductio
nWe have an exciting opportunity now available with one of our sector-leading data analytics clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions
.
Job Responsibilities/Objectiv
esThis role is focused on supporting day-to-day analytical activities across customer portfolios, including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environment
s.The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring technique
s.
Required Skills/Experie
nceThe ideal candidate will have the followi
ng:Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science pee
• rs.
Credit and fraud modelling experi
• enceHave degree in computer science, mathematics, statistics or quantitative methods (or equivalent experien
• ce).Have good understanding of statistical methods applied to data analy
• sis.Have user experience of Cloud capabilities, preferred Databri
• cks.Have user experience of coding languages for data science and machine learning (e.g. Python,
• R).Have good written communication skills, including the ability to describe statistical results to non-statistical audien
• ces.Experience processing large data sets and matching/merging multiple data s
ets.






