Square One Resources
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Cardiff, offering up to £560/day for a 12-month contract. Key skills include statistical analysis, data mining, Python, R, and Databricks. A degree in a quantitative field is required, along with experience processing large datasets.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
560
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🗓️ - Date
May 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Cardiff, Wales, United Kingdom
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🧠 - Skills detailed
#R #Risk Analysis #Databricks #Datasets #Data Mining #Mathematics #Migration #ML (Machine Learning) #Computer Science #Statistics #Data Science #Strategy #Data Analysis #Python #Cloud
Role description
Data Scientist
Bill rate : Up to £560 a day inside IR35
Contract duration: 12 months
Location of office : Cardiff
About the Role:
We are looking for a Data Scientist to conduct statistical analysis to support product strategy decisions. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques.
Responsibilities:
Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science peers.
Requirements:
• Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience).
• Have good understanding of statistical methods applied to data analysis.
• Have user experience of Cloud capabilities, preferred Databricks.
• 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 audiences.
• Experience processing large data sets and matching/merging multiple data sets.
This 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 environments.
Data Scientist
Bill rate : Up to £560 a day inside IR35
Contract duration: 12 months
Location of office : Cardiff
About the Role:
We are looking for a Data Scientist to conduct statistical analysis to support product strategy decisions. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques.
Responsibilities:
Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science peers.
Requirements:
• Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience).
• Have good understanding of statistical methods applied to data analysis.
• Have user experience of Cloud capabilities, preferred Databricks.
• 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 audiences.
• Experience processing large data sets and matching/merging multiple data sets.
This 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 environments.
