At a Glance
- Tasks: Validate and ensure high-quality data for climate risk insights.
- Company: Join Climate X, a leader in climate risk intelligence.
- Benefits: Gain hands-on experience, develop skills, and contribute to meaningful projects.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make a real impact on climate change solutions while enhancing your analytical skills.
- Qualifications: Experience in data validation and strong analytical skills required.
The predicted salary is between 20000 - 30000 € per year.
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
- 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 PivotTables and lookups (PowerQuery 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.
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.
Data Research Intern in London employer: Climate X
At Climate X, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Research Intern, you will have the opportunity to engage in meaningful projects that contribute to climate risk intelligence while benefiting from professional growth opportunities and a supportive team environment. Our commitment to employee development, coupled with our focus on sustainability, makes Climate X a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Research Intern in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their mission and values, especially around climate risk intelligence. We want you to show them you’re not just another candidate, but someone who truly gets what they do.
✨Tip Number 3
Practice your data validation skills! Use sample datasets to hone your analytical abilities. We believe that demonstrating your technical competency during interviews can really set you apart from the crowd.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Research Intern in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Research Intern role. Highlight any experience you have in data validation, QA, or research tasks. We want to see how your skills match what we're looking for!
Show Off Your Skills:Don’t forget to showcase your analytical skills and attention to detail. If you've used Excel or AI tools like ChatGPT before, let us know! We love seeing how you can apply these tools in real-world scenarios.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're interested in the role and how your background makes you a great fit. We appreciate straightforward communication!
Apply Through Our Website:Make sure to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. We can’t wait to see your application!
How to prepare for a job interview at Climate X
✨Know Your Data Inside Out
Before the interview, dive deep into data validation and quality assurance concepts. Familiarise yourself with common issues in data accuracy and how to troubleshoot them. This will help you demonstrate your analytical skills and attention to detail during the conversation.
✨Show Off Your Tool Skills
Make sure you're comfortable with Excel, especially PivotTables and lookups. If you've used AI tools like ChatGPT for data validation, be ready to share specific examples. Highlighting your technical competency will show that you're prepared for the role.
✨Communicate Clearly
Practice explaining complex data issues in simple terms. Since the role involves cross-functional collaboration, being able to communicate effectively with non-technical teams is crucial. Prepare a few scenarios where you successfully communicated data findings or resolved issues.
✨Be Ready to Suggest Improvements
Think about ways you could refine validation workflows or improve operational efficiency. During the interview, don’t hesitate to share your ideas on how to enhance processes. This shows initiative and a proactive mindset, which are key traits for the role.
