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Inspirec

Data Scientist

Inspirec
United Kingdom · Contract · Mid-Senior

OUTSIDE IR35 + REMOTE – UP TOO £500 P/D


Inspirec has partnered with a dynamic and innovative leader in the technology industry, who are seeking a highly motivated AI/ML DevOps Engineer to join their team on a contract basis.


We are looking for a Data Scientist to develop and maintain high-quality data pipelines and analytics to support the training, evaluation, and validation of AI solutions. This role ensures that AI systems are built on trustworthy, well-understood data, and meet standards for accuracy, fairness, and robustness.


Key Responsibilities

  • Prepare, clean, and transform large datasets for machine learning training and evaluation.
  • Design and execute experiments to assess AI model performance across metrics such as accuracy, precision, recall, bias, and robustness.
  • Collaborate with product and AI engineering teams to support data exploration and discovery.
  • Ensure data quality, lineage, and adherence to governance and compliance standards.
  • Analyse system usage and behaviour data to uncover insights and guide product and model development.
  • Contribute to ethical AI assurance by identifying and documenting model limitations and risks.


Essential Skills & Experience

  • Proficient in Python with a strong command of data science libraries such as pandas, NumPy, scikit-learn, and similar tools.
  • Experience designing experiments and validating machine learning models with appropriate statistical rigor.
  • Deep understanding of machine learning performance metrics and statistical evaluation techniques.
  • Knowledge of responsible AI principles, including bias detection, fairness, and model transparency.
  • Familiarity with modern data engineering practices, including ETL workflows, data pipelines, and API integration.

Key Skills

Ranked by relevance

ai machine learning python devops pandas numpy etl
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Posted
Aug 27, 2025
Type
Contract
Level
Mid-Senior
Location
United Kingdom
Company
Inspirec

Industries

IT Services IT Consulting

Categories

Consulting

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