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Data Scientist

YO HR Consultancy
2 days ago
Contract
On-site
United Kingdom
Data Scientist

Job Title: Data Scientist

Job Type: Contractor

Location: Remote

Job Summary:

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required β€” your domain knowledge is what matters.

Key Responsibilities:

  • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
  • Develop, validate, and implement statistical models to extract actionable insights from complex data.
  • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
  • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
  • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
  • Continuously improve analytical methodologies and automation processes to enhance data workflows.
  • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.

Required Skills and Qualifications:

  • Expertise in statistics, mathematics, and data analysis techniques.
  • Proven experience in collecting, handling, and cleaning large, complex data sets.
  • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.
  • Strong data modeling skills with experience in building and validating predictive models.
  • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.
  • Meticulous attention to detail and commitment to data quality at every stage.
  • Excellent written and verbal communication skills, with an emphasis on clarity and precision.

Preferred Qualifications:

  • Experience working in a remote, cross-functional, or customer-focused team environment.
  • Background in developing and deploying machine learning solutions in production settings.