AI Data Scientist

Addition+; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading global authority in higher education is seeking an AI Data Scientist to enhance LLM workflows and contribute to academic evaluation projects. This role offers the chance to impact global education while working in a data-heavy environment. Ideal candidates will have proven experience in AI and data science, particularly with LLMs, AWS, and Python.

Qualifications

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

Responsibilities

• Drive enhancement and deployment of LLM-based semantic analysis.
• Collaborate with engineering teams on LLM workflows.
• Identify and develop novel LLM applications.

Skills

AI

Large Language Model (LLM)

AWS

Python

SQL

Statistical Modelling

NLP

Data Science Techniques

Machine Learning

Predictive Modelling

Tools

DataBricks

Job description

Direct message the job poster from Addition+

The Caffeinated Recruiter | Lead Talent Consultant at Addition| Women in Tech | Elite100 Recruitment Leader

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

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 Language 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:

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Higher Education

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