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Data Scientist

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Randstad

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

A top tier consultancy firm is currently seeking an experienced Data Scientist to join a dynamic team focused on leveraging Large Language Models (LLMs) and advanced machine learning to drive tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle-from initial conceptualisation and prompt engineering to production deployment. As a Data Scientist, you will act as the technical architect behind our AI solutions. You won't just be building models; you will be defining how AI transforms our operations.

Job Responsibility:

  • Work directly with stakeholders to understand their challenges, define what needs to be built, and set the benchmarks for a successful project
  • Select the best AI models and language frameworks for the job and design the training strategies to ensure the AI performs exactly as required
  • Build pipelines that gather and clean data, making sure everything used to train the AI is accurate and high-quality
  • Track how the models are performing using clear metrics
  • When things could be better, tweak the settings or data to boost accuracy and efficiency
  • Help get the AI out into the real world
  • Once it's live, you'll help set up automated checks to ensure it behaves correctly and handles unexpected situations smoothly
  • Be a key link between the technical work and the rest of the business, translating your findings into clear recommendations that everyone can follow

Requirements:

  • Strong experience with Machine Learning and LLMs (such as GPT or BERT)
  • Proficient in Python and standard ML libraries
  • Skilled at crafting and testing prompts to get the best out of AI models
  • Able to clean, process, and manage large datasets for training
  • Great at using metrics to track performance and fine-tune results
  • Experience taking models from the 'idea' stage through to a live environment

Additional Information:

Job Posted:
May 16, 2026

Expiration:
June 09, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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