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Data Scientist | Remote

Remote / Online - Candidates ideally in
Belfast, County Antrim, BT1, Northern Ireland, UK
Listing for: Crossing Hurdles
Remote/Work from Home position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Mining
Salary/Wage Range or Industry Benchmark: 45000 - 65000 GBP Yearly GBP 45000.00 65000.00 YEAR
Job Description & How to Apply Below
  • Reconstruct, redesign, and enhance data-driven presentations using Microsoft PowerPoint to ensure clarity and visual consistency.
  • Create compelling visualizations that transform complex data into insights, supporting effective visual storytelling across various audiences.
  • Edit content for accuracy, flow, and narrative impact while maintaining high standards of written communication.
  • Apply advanced data analysis and statistical reasoning to interpret datasets and derive actionable conclusions for presentation materials.
  • Develop analytics reports that summarize key findings, trends, and recommendations with precision and attention to detail.
  • Critically review and refine existing slides and reports to align with best practices in data visualization and design.
  • Collaborate on feedback cycles to iteratively improve deliverables based on project-specific requirements.

Requirements

  • Expert-level proficiency in Microsoft PowerPoint, with a strong portfolio demonstrating slide reconstruction and advanced presentation design.
  • Proven ability to distill and visualize complex datasets into accessible, business-oriented insights.
  • Experience with content editing, data storytelling, and producing analytics reports for diverse stakeholders.
  • Keen critical thinking skills and exceptional attention to detail in both quantitative and qualitative tasks.
  • Strong written communication abilities, with a track record of crafting clear, concise, and engaging narratives.
  • Background in data science, analytics, statistics, or a related field; prior consulting experience is a plus.
  • Comfort participating in remote, collaborative projects with dynamic requirements and iterative feedback.
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