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Data Research Intern
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-09-12
Listing for:
Climate X
Apprenticeship/Internship
position Listed on 2026-09-12
Job specializations:
-
Quality Assurance - QA/QC
Data Analyst, IT QA Tester / Automation -
IT/Tech
Data Analyst, IT QA Tester / Automation
Job Description & How to Apply Below
Summary
Climate X is a leading climate risk intelligence company delivering high-resolution physical risk insights globally. Our product suite empowers organisations to measure, understand and mitigate the impact of climate change on physical assets and operations. We’re hiring a dedicated Data Quality Analyst to validate outputs and ensure the highest standards of data quality.
Responsibilities Data Validation & Quality Assurance- Review and validate asset location data against online sources.
- Identify inaccuracies, inconsistencies and edge cases requiring deeper investigation.
- Conduct structured QA audits following established workflows and checklists.
- Troubleshoot anomalies and determine root causes of data irregularities.
- Interpret ambiguous model outputs and apply sound judgment when verifying data.
- Provide clear, structured feedback to improve pipeline logic and validation processes.
- Follow defined QA processes, including documentation, peer review and escalation paths.
- Suggest refinements to validation workflows and contribute to operational efficiency.
- Maintain comprehensive and clean issue tracking.
- Use AI tools (e.g., ChatGPT) to support validation and cross-checking.
- Use Excel for data manipulation, including Pivot Tables and lookups (Power Query a plus).
- Communicate clearly with Product and Engineering teams about issues, risks and trends.
- Manage stakeholders across the business when delivering customer data.
- Participate in rapid feedback loops as the product’s logic and capabilities evolve.
- Experience in data validation, data QA, anomaly detection or related operational roles.
- Experience performing research tasks.
- Strong analytical skills and high attention to detail.
- Proficiency with Excel (Pivot Tables, lookups; Power Query beneficial).
- Familiarity with AI tools such as ChatGPT or similar.
- Excellent written communication skills.
- Ability to follow structured workflows and maintain documentation quality.
- Experience validating or reviewing data.
- Background in data operations involving complex or evolving datasets.
- Exposure to GIS tools (QGIS, ArcGIS) or willingness to learn.
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