

Data Scientist Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a part-time Data Scientist contract (6-9 months) based in London, offering £450-£550 per day. Key skills include data standardization, prompt engineering, and proficiency in Python, R, and SQL. Familiarity with machine learning frameworks is preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
550
🗓️ - Date discovered
May 21, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Outside IR35
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#AI (Artificial Intelligence) #Python #Classification #Data Science #Programming #ML (Machine Learning) #.Net #C# #Data Lake #"ETL (Extract #Transform #Load)" #R #SQL (Structured Query Language) #Data Warehouse
Role description
Data Scientist Contract – Outside of IR35
Day Rate £450 - £550 p/day
Part Time contract – 2/3 days a week
Duration – 6 - 9 months (could extend)
Location London – Remote with some capabilities to visit the office (perhaps once or twice during the initial contract).
Neulinx has partnered with an innovative fintech startup at the forefront of AI-driven financial market analysis. Our client is transforming how UK organizations approach treasury by blending cutting-edge technology with top-tier expertise.
They are developing a groundbreaking platform that delivers real-time market insights and predictive analytics for financial professionals.
They are looking to bring on a Data Scientist to work part time 2-3 days a week, at least until the end of the year. This could increase depending on workload.
Role Requirements
• Build and refine the AI-powered data insights capabilities of our client’s application, with a focus on prompt engineering to interpret trading data.
• Design effective prompts by experimenting with different prompt formulas to determine the most valuable and accurate responses from the AI model.
• Develop metric frameworks to assess the performance of the prompts.
• Analyse client data around trades, risk profile, financials, and classification to drive actionable insights within reports.
• Work with data lakes / data warehouses to standardise and collate data from various sources.
• Collaborate with software engineers who work on .NET/C# to ensure data models are integrated into our architecture.
Requirements
• Proven experience in data science with a focus on data standardisation prompt engineering.
• Familiarity with machine learning frameworks and programming (Python, R, SQL) – ML is not a hard requirement.
Ready to Join?
If you're excited about transforming the future of treasury and risk management and want to be part of a forward-thinking team, we’d love to hear from you!
Data Scientist Contract – Outside of IR35
Day Rate £450 - £550 p/day
Part Time contract – 2/3 days a week
Duration – 6 - 9 months (could extend)
Location London – Remote with some capabilities to visit the office (perhaps once or twice during the initial contract).
Neulinx has partnered with an innovative fintech startup at the forefront of AI-driven financial market analysis. Our client is transforming how UK organizations approach treasury by blending cutting-edge technology with top-tier expertise.
They are developing a groundbreaking platform that delivers real-time market insights and predictive analytics for financial professionals.
They are looking to bring on a Data Scientist to work part time 2-3 days a week, at least until the end of the year. This could increase depending on workload.
Role Requirements
• Build and refine the AI-powered data insights capabilities of our client’s application, with a focus on prompt engineering to interpret trading data.
• Design effective prompts by experimenting with different prompt formulas to determine the most valuable and accurate responses from the AI model.
• Develop metric frameworks to assess the performance of the prompts.
• Analyse client data around trades, risk profile, financials, and classification to drive actionable insights within reports.
• Work with data lakes / data warehouses to standardise and collate data from various sources.
• Collaborate with software engineers who work on .NET/C# to ensure data models are integrated into our architecture.
Requirements
• Proven experience in data science with a focus on data standardisation prompt engineering.
• Familiarity with machine learning frameworks and programming (Python, R, SQL) – ML is not a hard requirement.
Ready to Join?
If you're excited about transforming the future of treasury and risk management and want to be part of a forward-thinking team, we’d love to hear from you!