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- Tasks: Join a fintech startup as a Data Scientist, focusing on AI-driven insights and prompt engineering.
- Company: Neulinx is an innovative fintech transforming treasury management with cutting-edge technology.
- Benefits: Enjoy remote work flexibility and a part-time schedule of 2-3 days a week.
- Why this job: Be part of a forward-thinking team revolutionising financial market analysis with AI.
- Qualifications: Experience in data science and familiarity with Python, R, or SQL is preferred.
- Other info: Contract duration is 6-9 months, with potential for extension based on workload.
The predicted salary is between 90000 - 120000 £ per year.
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.
- Proven experience in data science with a focus on data standardisation and prompt engineering.
- Familiarity with machine learning frameworks and programming (Python, R, SQL) – ML is not a hard requirement.
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!
Contract Data Scientist - Prompt Engineering £450 - £500 p/day employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Scientist - Prompt Engineering £450 - £500 p/day
✨Tip Number 1
Familiarise yourself with the latest trends in prompt engineering and AI-driven data analysis. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the fintech and data science sectors. Attend relevant webinars or meetups to connect with people who might have insights into the company or the role, which could give you an edge.
✨Tip Number 3
Prepare to discuss specific examples of your experience with data standardisation and prompt engineering. Being able to articulate your past projects and their outcomes can significantly boost your chances during the interview.
✨Tip Number 4
Research Neulinx and their innovative approach to AI in financial markets. Understanding their mission and values will help you tailor your responses and demonstrate your genuine interest in contributing to their team.
We think you need these skills to ace Contract Data Scientist - Prompt Engineering £450 - £500 p/day
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on prompt engineering and data standardisation. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the fintech industry. Mention specific projects or experiences that demonstrate your ability to build AI-powered data insights and collaborate with software engineers.
Showcase Technical Skills: In your application, clearly outline your familiarity with programming languages like Python, R, and SQL. If you have experience with machine learning frameworks, be sure to mention it, even if it's not a hard requirement.
Highlight Collaborative Experience: Emphasise any past experiences where you've worked closely with software engineers or cross-functional teams. This will show your ability to integrate data models into existing architectures, which is crucial for this role.
How to prepare for a job interview at JR United Kingdom
✨Understand Prompt Engineering
Make sure you have a solid grasp of prompt engineering concepts. Be prepared to discuss how you would design effective prompts and the methodologies you would use to refine them for better AI responses.
✨Showcase Your Data Analysis Skills
Be ready to talk about your experience with data analysis, especially in relation to financial data. Highlight any specific projects where you’ve driven actionable insights from complex datasets.
✨Familiarity with Tools and Technologies
Brush up on your knowledge of relevant programming languages like Python, R, and SQL. Even if machine learning isn't a hard requirement, demonstrating familiarity with these tools can set you apart.
✨Collaboration is Key
Since the role involves working closely with software engineers, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams in the past.
