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- Tasks: Build and deploy AI applications using NLP and generative AI to solve real-world problems.
- Company: Join a dynamic investment firm in London reshaping financial insights with AI.
- Benefits: Enjoy a flexible, inclusive culture with purpose-driven values and opportunities for growth.
- Why this job: Work on cutting-edge technology in a collaborative environment that values social responsibility.
- Qualifications: 5+ years of experience in Python, ML, and NLP/LLMs; familiarity with open-source LLMs required.
- Other info: Exciting opportunity to shape a growing data science function in a respected organisation.
The predicted salary is between 43200 - 72000 £ per year.
Job Description:
Data Scientist – AI & NLP Innovation
London (Hybrid)
Our client is a dynamic investment firm using AI to reshape financial insight
Are you a data scientist passionate about applying NLP, LLMs, and generative AI to real-world problems? Join a forward-thinking investment management firm based in London’s West End that is building an AI-driven future. You’ll help shape a growing data science function, working on high-impact projects in a collaborative, inclusive, and mission-driven environment.
Why Join?
Be part of a newly established, fast-growing AI team
Work on cutting-edge NLP and generative AI tools (e.g., RAG, open-source LLMs)
Help automate and modernise business processes across a respected financial organisation
Flexible, inclusive culture with purpose-driven values around environmental and social responsibility
What You\’ll Do:
Build and deploy AI applications that improve efficiency and deliver business value
Apply NLP, LLMs, and automation to unlock insights from complex, unstructured data
Work across departments to identify and deliver impactful AI use cases
Evaluate emerging models and AI tools for real-world adoption
Collaborate closely with the Head of Data Science to scale innovative solutions
What You Bring:
- 5+ years of hands-on experience in Python, ML, and NLP/LLMs
- Familiarity with open-source LLMs (e.g., LLaMA, Mistral, Qwen) and RAG pipelines
- Experience building APIs and interactive tools with FastAPI, Streamlit, or Gradio
- Solid understanding of AI infrastructure, including GPUs and Docker
- Comfortable working with unstructured data sources like PDFs, emails, and OCR
- Proficient in Git, SQL, and handling a variety of data formats
If you\’re excited by the opportunity to work on cutting-edge AI in a practical, purpose-led investment environment, we’d love to hear from you. (emailprotected)
Data Scientist – AI & NLP Innovation
London (Hybrid)
Our client is a dynamic investment firm using AI to reshape financial insight
Are you a data scientist passionate about applying NLP, LLMs, and generative AI to real-world problems? Join a forward-thinking investment management firm based in London’s West End that is building an AI-driven future. You’ll help shape a growing data science function, working on high-impact projects in a collaborative, inclusive, and mission-driven environment.
Why Join?
Be part of a newly established, fast-growing AI team
Work on cutting-edge NLP and generative AI tools (e.g., RAG, open-source LLMs)
Help automate and modernise business processes across a respected financial organisation
Flexible, inclusive culture with purpose-driven values around environmental and social responsibility
What You\’ll Do:
Build and deploy AI applications that improve efficiency and deliver business value
Apply NLP, LLMs, and automation to unlock insights from complex, unstructured data
Work across departments to identify and deliver impactful AI use cases
Evaluate emerging models and AI tools for real-world adoption
Collaborate closely with the Head of Data Science to scale innovative solutions
What You Bring:
- 5+ years of hands-on experience in Python, ML, and NLP/LLMs
- Familiarity with open-source LLMs (e.g., LLaMA, Mistral, Qwen) and RAG pipelines
- Experience building APIs and interactive tools with FastAPI, Streamlit, or Gradio
- Solid understanding of AI infrastructure, including GPUs and Docker
- Comfortable working with unstructured data sources like PDFs, emails, and OCR
- Proficient in Git, SQL, and handling a variety of data formats
If you\’re excited by the opportunity to work on cutting-edge AI in a practical, purpose-led investment environment, we’d love to hear from you. (emailprotected)
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Data scientist employer: Cornucopia IT Resourcing
Contact Detail:
Cornucopia IT Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data scientist
✨Tip Number 1
Familiarise yourself with the latest trends in NLP and generative AI. Follow industry leaders on social media, read relevant research papers, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and data science community. Attend meetups, webinars, or conferences related to AI and NLP. Building connections can lead to valuable insights about the company and potentially even referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've applied Python, ML, and NLP/LLMs. Be ready to explain your thought process, the challenges you faced, and how you overcame them. Real-world examples will showcase your expertise and problem-solving skills.
✨Tip Number 4
Understand the company's mission and values, especially their focus on environmental and social responsibility. Be prepared to articulate how your personal values align with theirs, as cultural fit is often a key consideration in hiring decisions.
We think you need these skills to ace Data scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, ML, and NLP/LLMs. Include specific projects where you've applied these skills, especially in relation to AI applications and unstructured data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can reshape financial insights. Mention your familiarity with open-source LLMs and your experience in building APIs, as these are key aspects of the role.
Showcase Relevant Projects: If you have worked on any projects involving RAG pipelines or generative AI tools, be sure to include them in your application. Highlight the impact these projects had on efficiency or business value.
Demonstrate Collaboration Skills: Since the role involves working across departments, mention any past experiences where you collaborated with different teams. This will show your ability to work in a collaborative and inclusive environment.
How to prepare for a job interview at Cornucopia IT Resourcing
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python, ML, and NLP/LLMs. Bring examples of projects you've worked on, especially those involving open-source LLMs or RAG pipelines, to demonstrate your expertise.
✨Understand the Business Context
Research the investment firm and understand how AI is reshaping financial insights. Be ready to discuss how your skills can contribute to automating and modernising their business processes.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to apply NLP and generative AI to real-world problems. Think of specific scenarios where you’ve unlocked insights from unstructured data and be ready to explain your approach.
✨Emphasise Collaboration and Communication
Highlight your experience working across departments and collaborating with teams. The role involves working closely with the Head of Data Science, so showcasing your teamwork and communication skills will be crucial.
