Data Scientist

Overview

Data Scientist Location: 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

Responsibilities

• Define business problems and deliver data-led solutions.
• Design and build algorithms and statistical models for data insights.
• Collaborate with engineers and developers for model integration.
• Communicate findings to both technical and non-technical audiences.
• Ensure data quality and integrity across outputs.
• Continuously improve models and processes using new technologies.

Requirements

• Proven experience as a Data Scientist with proficiency in Python and libraries like NumPy and Pandas.
• Deep understanding of machine learning, statistical modeling, and data mining techniques.
• Experience in building and maintaining data pipelines with cloud infrastructure, preferably AWS.
• Background in data visualization and presenting complex results effectively.
• Degree in Computer Science, Mathematics, Statistics, or related field.
• Experience in applying data science in engineering or manufacturing environments is a plus.