Data Research Intern

Climate X; Greater London; On-site; GBP 38,000 - 56,000; Full time

Job summary

Climate X, a leading climate risk intelligence company, seeks a Data Quality Analyst to validate outputs and uphold data quality standards. You will review asset location data, identify inconsistencies, and perform QA audits while collaborating with Product and Engineering teams.

The role emphasizes analytical thinking, attention to detail, and effective use of Excel, PowerQuery, and AI tools to improve data pipelines and validation workflows.

Qualifications

• Experience in data validation, QA, anomaly detection or related roles.
• Experience performing research tasks.
• Strong analytical skills and high attention to detail.
• Proficiency with Excel (PivotTables, lookups; PowerQuery beneficial).
• Familiarity with AI tools such as ChatGPT or similar.
• Excellent written communication skills.
• Ability to follow structured workflows and maintain documentation quality.

Responsibilities

• 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.
• Communicate issues and trends with Product and Engineering teams.

Skills

Data validation

QA

Anomaly detection

Excel PivotTables

PowerQuery

AI tools

Written communication

Workflow documentation

Tools

Excel

PowerQuery

ArcGIS

Job description

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.

Investigative Analysis

• 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.

Workflow Execution & Improvement

• 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.

Tooling & Technical Competency

• Use AI tools (e.g., ChatGPT) to support validation and cross-checking.
• Use Excel for data manipulation, including PivotTables and lookups (PowerQuery a plus).

Cross-Functional Collaboration

• 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.

Minimum Qualifications

• 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 (PivotTables, lookups; PowerQuery beneficial).
• Familiarity with AI tools such as ChatGPT or similar.
• Excellent written communication skills.
• Ability to follow structured workflows and maintain documentation quality.

Preferred Qualifications

• Experience validating or reviewing data.
• Background in data operations involving complex or evolving datasets.
• Exposure to GIS tools (QGIS, ArcGIS) or willingness to learn.