Research and Data Internships

About Arc

Arc is an international non-profit focused on creating the shared pathways that help move climate and resilience goals into real investment flows. The organisation works with local collaborators and global institutions to strengthen the information foundations that connect fragmented transition efforts.

Its work includes funding and developing missing transition pathways, combining data and frameworks, highlighting the evidence needed to support business action and policy, and building public-interest tools such as TransitionArc and ResilienceArc to make future pathways clearer and more investable.

By creating resilient, scalable systems for information and insight, Arc helps business leaders, policymakers, and financial institutions make confident decisions for a fairer, more resilient future.

Role overview

Arc is hiring two Research and Data Interns to support its research and analytics work. One position reports to a Senior Associate and centres on using data analytics and data science to help build systems and sandboxes. The other reports to the Forest, Land and Agriculture (FLAG) Lead and combines data analysis and visualisation with mapping and synthesising frameworks and academic literature linked to FLAG, food systems, and/or the blue economy.

This opportunity is best suited to someone with strong analytical ability and an interest in using Python, SQL, data analytics, data science, and visualisation to answer climate-related research questions. The internship will involve collecting, organising, analysing, and interpreting climate and sustainability data, with an emphasis on improving the quality, consistency, and practical value of datasets and outputs.

Responsibilities

• Gather, clean, organise, segment, aggregate, and document data from company reports, NGO analytics, disclosure tools, research publications, and sector transition frameworks.
• Use SQL to pull, query, and structure information from datasets, including tables, joins, filters, and aggregations, so the right data can be prepared for analysis.
• Apply Python for cleaning, transforming, checking, and exploring data, as well as supporting repeatable workflows.
• Help strengthen the team’s approach to data analysis by contributing to more deliberate, consistent, and well-documented methods over time.
• Carry out research and analysis on the corporate climate transition and identify information gaps in the broader data landscape, including areas such as Forest, Land and Agriculture (FLAG), while clearly communicating key issues and implications.
• Support analysis across climate themes such as emissions targets, transition planning, sustainable finance, corporate disclosure, and sector-specific topics.
• Track data quality and integrity by identifying inaccuracies, outliers, missing values, and other limitations.
• Collect, interpret, and summarise information from academic studies, industry reports, company disclosures, NGO analysis, and climate transition frameworks.
• Turn key datasets and findings into clear, accessible, and decision-useful visualisations and presentations.
• Assist with administrative tools and workflows used by the Research and Program team, including project management systems such as Asana.
• Provide flexible support on milestones and project delivery as needed.

Application details

Applicants should send a current CV and a cover letter explaining how their experience matches the requirements and why they want to work with Climate Arc. The team is especially interested in examples showing experience with Python, SQL, data analysis, data science, and climate-related research. Where relevant, candidates should also describe how they have used SQL to retrieve or query data, and how they have used Python or other tools to clean, analyse, or interpret datasets.

What you should know

The preferred commitment is full time. Candidates should be available to start in July 2026 for a six-month period. The role reports either to the Senior Associate (Research & Program) or the Forest Land and Agriculture Lead (Research & Program). The application deadline is 5:00 pm on Friday 19 June.

Requirements

• You are currently studying, or have recently finished, a degree in sustainability, data, finance, economics, environmental science, computer science, or a similar field, or you bring equivalent relevant experience.
• You have a strong interest in using data analytics and data science for climate, sustainability, and finance research questions.
• You understand SQL well enough to query datasets, apply filters and aggregations, work with joins, understand table structure, and explain how data was prepared for analysis.
• You can use Python for cleaning, transforming, exploring, visualising, quality-checking, and working with datasets, ideally with tools such as pandas, NumPy, and Jupyter notebooks.
• You understand analytical fundamentals such as data quality, reproducibility, documentation, assumptions, limitations, and interpreting results.
• You have a solid grasp of climate-related data, ESG topics, and disclosure frameworks such as TCFD.
• You understand key issues in climate reporting, sustainable finance, and company emissions-reduction targets.
• For one of the roles, familiarity with Forest, Land and Agriculture (FLAG), food systems, and/or the blue economy, including nature and biodiversity topics, is desirable.
• You are comfortable working in Microsoft Office, especially Excel.
• You have strong attention to detail and can identify mistakes, inconsistencies, and unusual data points.
• You manage your time well and can balance large volumes of material with accuracy, speed, and organisation.
• You work well in a collaborative environment and contribute positively to team goals.
• You communicate clearly in writing and speaking, and you are fluent in English.
• You have access to a personal computer with appropriate security measures.

Benefits

• Opportunity to contribute to the shift toward a sustainable, low-carbon economy with long-term impact.
• Chance to work where climate, finance, research, and data science meet, which is a key area for climate action.
• Practical experience using Python, SQL, and data analysis in a mission-driven research setting.
• Exposure to an adaptive culture and the opportunity to collaborate closely with an entrepreneurial, diverse team.
• Insight into the realities and opportunities of working in a start-up style environment.
• Compensation of £17 per hour, or the local market equivalent if the candidate is based outside the UK.

Additional information

This role is based in the United Kingdom and is onsite. It is offered as a contract position. Two openings are available.