Data Scientist – R & D

🔒 Confidential Employer
Posted 13 August 2025
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£70,000 / year
CATEGORY
Science & Research
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python R Data Visualization Machine Learning Statistical Techniques Unstructured Datasets

FULL DESCRIPTION

Summary

A Data Scientist is required by [Employer hidden — view at passion-project.co.uk] to analyze complex datasets, develop predictive models, and integrate data-driven insights for R&D projects. The role involves collaborating with multidisciplinary teams, creating algorithms, and presenting research findings. Candidates should have proficiency in Python, R, data visualization, and machine learning techniques, along with experience in working with large and unstructured datasets and a Master’s or Ph.D. in a related field.

Key Responsibilities/Duties

  • Analyze complex datasets to identify patterns and trends for R&D projects.
  • Develop predictive and prescriptive models to enhance product development.
  • Collaborate with multidisciplinary teams to integrate data-driven insights.
  • Create and refine algorithms for experimental and research purposes.
  • Present research findings and actionable insights to stakeholders.

Core Requirements/Qualifications/Skills

  • Proficiency in Python, R, and data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of machine learning and statistical techniques.
  • Experience in working with large and unstructured datasets.
  • Knowledge of research methodologies and experimental design.
  • Master’s or Ph.D. in Data Science, Mathematics, Computer Science, or related field.

Responsibilities:

Analyze complex datasets to identify patterns and trends for R&D projects. Develop predictive and prescriptive models to enhance product development. Collaborate with multidisciplinary teams to integrate data-driven insights. Create and refine algorithms for experimental and research purposes. Present research findings and actionable insights to stakeholders.

Requirements:

Proficiency in Python, R, and data visualization tools (e.g., Tableau, Power BI). Strong understanding of machine learning and statistical techniques. Experience in working with large and unstructured datasets. Knowledge of research methodologies and experimental design. Master’s or Ph.D. in Data Science, Mathematics, Computer Science, or related field.

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