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Data Scientist

Haystack
Department:Data Analysis
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Associate
Salary:£93,600 - £119,600
Skills:
PYTHONNUMPYPANDASSCIKIT-LEARNMATPLOTLIBPLOTLYMACHINE LEARNINGSTATISTICAL MODELLINGDATA MININGAWSDATA VISUALISATION
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Job Description

Posted on: November 2, 2025

Data ScientistLocation: Fully Remote (UK-based)

Day Rate: £450 - £575 (Outside IR35)

This is a fully remote, outside IR35 contract, offering the opportunity to apply your technical expertise to complex, real-world data challenges.

What you’ll do

  • Work with cross-functional teams to define business problems and deliver data-led solutions.
  • Design and build algorithms and statistical models to extract insights from large, complex datasets.
  • Collaborate with engineers and developers to integrate models into production environments.
  • Communicate findings clearly to both technical and non-technical audiences.
  • Ensure data quality and integrity across all outputs.
  • Continuously improve models and processes using emerging technologies and best practices.

What you’ll bring

  • Proven experience as a Data Scientist, with strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Plotly.
  • Deep understanding of machine learning, statistical modelling, and data mining techniques.
  • Experience building and maintaining data pipelines and working with cloud infrastructure (AWS experience preferred).
  • Solid background in data visualisation, with the ability to present complex results clearly and effectively.
  • Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field.
  • Experience applying data science within engineering, manufacturing, or industrial environments is advantageous.

Why join

  • Outside IR35, fully remote contract offering flexibility and autonomy.
  • Work on impactful, technically challenging projects across engineering and manufacturing sectors.
  • Collaborate with a forward-thinking consultancy at the cutting edge of applied data science.

Apply now via Haystack

Originally posted on LinkedIn

Apply now

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