Contract Data Scientist - Prompt Engineering £450 - £500 p/day

JR United Kingdom; London; Remote; GBP 35,000 - 50,000; Part time

Job summary

A leading fintech startup seeks a part-time Data Scientist to join their innovative team focusing on AI-driven solutions for financial markets. The role involves enhancing data insights, designing prompt engineering strategies, and collaborating with developers. Ideal candidates will have relevant data science experience and skills in Python or R.

Qualifications

• Proven experience in data science with a focus on data standardisation and prompt engineering.
• Familiarity with machine learning frameworks and programming is beneficial.

Responsibilities

• Build and refine the AI-powered data insights capabilities of the client’s application.
• Design effective prompts through experimentation to achieve accurate AI responses.
• Collaborate with software engineers to ensure integration of data models.

Skills

Data standardisation

Prompt engineering

Data analysis

Collaboration

Tools

Python

R

SQL

Job description

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Client:

Neulinx

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Data Scientist Contract – Outside of IR35

Part Time contract – 2/3 days a week

Duration – 6 - 9 months (could extend)

Location - Remote

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!