AI Data Scientist

ZipRecruiter; London; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

A leading global authority in higher education is seeking an AI Data Scientist to impact global academic trends. This role offers exposure to state-of-the-art technologies and responsibilities that drive LLM enhancements in a data-rich environment. Enjoy a hybrid working model and opportunities for career growth, with competitive compensation between £70,000 and £80,000 annually.

Benefits

Hybrid working

Career Progression Programme

Mentorship Scheme

Private Healthcare

Qualifications

• Proven experience in AI, specifically LLMs.
• Experience with AWS, Python, SQL, and statistical modelling.
• Ability to apply NLP and data science techniques.

Responsibilities

• Enhance and deploy LLM-based semantic analysis.
• Collaborate with engineering teams to improve LLM workflows.
• Develop novel LLM applications to support strategic goals.

Skills

AI

Large Model (LLM)

AWS

Python

SQL

Statistical Modelling

NLP

Data Science Techniques

Tools

DataBricks

Job description

Job Description

We are currently recruiting for a leading global authority in higher education for the role of AI Data Scientist. This is an exciting opportunity to impact global higher education, gain exposure to diverse international academic trends, and work in a data-heavy environment!

Role: AI Data Scientist

Salary: £70,000- £80,000 per annum & benefits

Location: Central London, 1 day per week in the office

What you'll be doing:

• Drive the enhancement and deployment of LLM-based semantic analysis within THE’s Impact Ranking and other academic evaluation projects.
• Collaborate with engineering teams to improve, rebuild, and integrate LLM workflows within scalable, cloud-based data pipelines.
• Apply advanced prompt-engineering techniques to improve LLM reliability and contribute to the company’s AI strategy.
• Identify and develop novel LLM applications across departments to support internal processes and strategic goals.

Main Skills/Requirements:

• Proven experience in AI, specifically Large Model (LLM).
• Proven experience with AWS, Python, SQL, and statistical modelling; skilled in integrating LLMs into cloud-based pipelines.
• Ability to apply NLP and data science techniques to real-world academic and sustainability data sets.
• Demonstrates rigorous attention to detail, especially in prompt engineering and evaluation of semantic outputs.
• Experience with Machine Learning or Predictive Modelling would be desirable.
• Familiarity with DataBricks, higher education/research data, sustainability metrics, and qualitative-to-quantitative analysis would be desirable.

How you'll be rewarded:

• Hybrid working
• Career Progression Programme
• Mentorship Scheme
• Private Healthcare