Data Scientist

Gravitas Recruitment Group (Global) Ltd; Remote; GBP 125,000 - 150,000; Full time

Job summary

A leading recruitment firm is seeking a skilled Data Scientist/Machine Learning Engineer for a 3-month contract to work on an AI project. The ideal candidate will excel in preparing data for LLMs and have expertise in crafting high-quality solutions independently. This remote role requires occasional travel to various UK locations. Experience with secure datasets and SC clearance is essential. If you're passionate about machine learning and AI technologies, this opportunity offers the chance to make a tangible impact on critical government services.

Qualifications

• Active SC clearance and experience with secure government data.
• Strong experience in exploratory data analysis and generating insights.
• Ability to transform unstructured data into machine-readable formats.

Responsibilities

• Analyse and structure messy datasets for LLM integration.
• Collaborate with AI/data teams on high-impact projects.
• Evaluate LLM outputs using various metrics and methods.

Skills

Python

Data preparation for LLMs

Prompt engineering techniques

Exploratory data analysis

Data validation

Quality assessment

Job description

We are seeking a highly skilled Data Scientist / Machine Learning Engineer to Join our client for a 3-month initial contract, with an immediate start. The role is Inside IR35 and offers a competitive day rate of £600–£700 DOE.

You will be working on a cutting-edge generative AI project, helping to integrate LLMs into complex, human-driven workflows. This is a remote role, though occasional travel to London, Sheffield, or Manchester may be required. The ideal candidate will have experience preparing data for LLMs and GenAI workloads, with strong technical ability in handling unstructured data and converting manual processes into structured, machine-readable formats.

Experience working with secure or sensitive datasets and existing active SC clearance is essential.

Key responsibilities include analysing and structuring messy datasets, engineering prompts, designing RAG datasets, and evaluating LLM outputs using a variety of metrics and methods. You will need to contribute independently and collaborate with a team of AI and data experts on fast‑paced, high‑impact projects.

Essential Skills & Experience

Demonstrable passion for coding, data science, and open‑source technologies.

Active SC clearance and experience handling secure or regulated government data.

Proven ability to work independently and deliver high‑quality solutions with minimal guidance.

Excellent Python skills, including both exploratory scripting and production‑ready code.

Strong experience with exploratory data analysis and generating actionable insights.

• Deep understanding of data preparation for large language models, including:
  • Prompt engineering techniques.
  • Working with embeddings and vector databases.
  • Designing and optimising Retrieval‑Augmented Generation (RAG) datasets.
  • Evaluation methods such as retrieval scoring, LLM‑as‑a‑judge, and hallucination detection.

Ability to transform complex, unstructured data into structured formats suitable for LLM input.

Strong skills in data validation, anomaly detection, quality assessment, and documenting assumptions.

Clear and concise written and verbal communication skills for sharing technical findings.

Familiarity with AWS environments is a plus.

Flexibility to adapt to changing project requirements and a proactive mindset.

This is an excellent opportunity to work at the forefront of AI adoption in the public sector, making a tangible impact on critical government services. If you're passionate about machine learning, LLM technologies, and working with complex data challenges—this role is for you.