Job Closed
This listing is no longer active.
The Atlanta Regional Commission (ARC) is the regional planning and intergovernmental coordination agency that focuses on issues critical to the region’s success, including growth and development, transportation, water resources, services for older adults, and workforce solutions. ARC is dedicated to unifying the region’s collective resources to prepare the metropolitan area for a prosperous future through professional planning initiatives, the provision of objective information, and the involvement of the community in collaborative partnerships.
Research and Data Internships
Location
United Kingdom
Posted
3 days ago
Salary
£17 / hour
Seniority
Mid Level
Job Description
Research and Data Internships
ARC
Role Description We are looking to hire two Research and Data Interns to support our work: - Reporting to the Senior Associate focusing on applying data analytics and data science to various challenges in building out systems and sandboxes. - Reporting to the Forest, Land and Agriculture (FLAG) Lead with a focus on data analysis and visualisation, mapping and synthesising relevant frameworks and academic work related to FLAG areas, food systems, and/or the blue economy. These roles would suit someone with strong analytical skills who is keen to apply data analytics and visualisation, data science, Python and SQL to climate-related research questions. You will support the Research team in collecting, structuring, analysing and interpreting climate and sustainability data, with a particular focus on improving the quality, consistency and usefulness of our datasets and analytical outputs. Responsibilities - Support the collection, cleaning, structuring, segmentation, aggregation and documentation of data from sources such as company reports, NGO analytics, disclosure platforms, research papers and sector transition frameworks. - Use SQL to extract, query and organise data from structured datasets, with a clear understanding of data tables, joins, filters, aggregations and how to retrieve the right data for analysis. - Use Python to support data cleaning, transformation, quality checks, exploratory analysis and reproducible workflows. - Contribute to the development of more intentional and robust approaches to data analysis within the Research team, helping to strengthen how data is collected, analysed, interpreted and documented over time. - Conduct research and analysis that helps us understand the state of the corporate climate transition and identify gaps in the wider data ecosystem (for example in Forest, Land and Agriculture (FLAG)) with the ability to understand, synthesise and clearly communicate the core issues, concerns and implications for corporate climate transition analysis. - Support analysis across climate-related themes, including emissions reduction targets, transition planning, sustainable finance, corporate disclosure, and relevant sector-specific issues. - Monitor the integrity, consistency and quality of data, including identifying errors, outliers, gaps and limitations. - Collate, interpret and summarise information from sources such as academic research, industry reports, company disclosures, NGO analysis and climate transition frameworks. - Help to visualise and present key datasets and insights in a clear, accessible and decision-useful way. - Support and maintain administrative systems and processes developed within the Research and Program team, for example project management systems such as Asana. - Provide ad-hoc support to the delivery of key milestones and projects, as required. Qualifications - You are pursuing, or have recently completed, a degree in a sustainability, data, finance, economics, environmental science, computer science or related field, or you have relevant equivalent experience. - Strong interest in applying data analytics and data science to climate, sustainability and finance-related research questions. - Knowledge of SQL, including the ability to query datasets, filter and aggregate data, use joins, understand table structures, and explain clearly how you extracted and prepared data for analysis. - Knowledge of Python, particularly for data cleaning, transformation, exploratory analysis, visualisation, quality checks and working with datasets. Experience using packages such as pandas, NumPy, Jupyter notebooks or similar tools would be beneficial. - Good understanding of analytical fundamentals, including data quality, reproducibility, documentation, assumptions, limitations and interpretation of results. - Good understanding of climate-related data, ESG and disclosure frameworks such as TCFD. - Good understanding of issues in climate change reporting, sustainable finance and companies’ emissions reduction targets. - Familiarity with Forest, Land and Agriculture, known as FLAG, food systems, and/or the blue economy and related areas including nature and biodiversity is desirable for one of the positions. - Proficient user of the MS Office suite, particularly Excel. - High attention to detail with a vigilant approach to research and data analysis. - Strong time management skills, maintaining high levels of attention to detail, speed and a well-organised workflow. - Collaborative approach, creating a positive working atmosphere and supporting each other. - Excellent written and verbal communication skills, including fluency in English. - Access to a personal computer with adequate security provisions. Requirements - Your availability: Full time ideally. We are looking for candidates to start in July 2026, for a period of 6 months. - Reports to: Senior Associate (Research & Program) or Forest Land and Agriculture Lead (Research & Program). - Application deadline: Please apply by 5pm on Friday 19th June. Benefits - The opportunity to contribute to and have a lasting impact on the transition to a sustainable, low-carbon economy. - Opportunity to work at the intersection of climate, finance, research and data science, a critical area for climate action. - The chance to build practical experience using Python, SQL and data analysis in a mission-driven research environment. - An adaptive company culture and the chance to work closely with an entrepreneurial and diverse team. - Exposure to the opportunities and challenges of working in a start-up environment. - Compensation: £17 per hour, or local market equivalent if based outside the UK.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data • Build and optimize data solutions using Databricks, Apache Spark, and AWS • Develop high-quality, maintainable code using Python and data engineering best practices • Collaborate with product teams and business stakeholders to understand the meaning of the data you are building for • Create and maintain data models, data quality and monitoring processes • Improve performance, reliability, and scalability of existing data infrastructure • Troubleshoot data issues and implement solutions to ensure data accuracy and availability
Role Description Design, develop and implement SQL Server/ T-SQL applications. - Develop complex SQL queries for data mining. - Develop, implement, and quality review processes and ETL processes. - Perform tuning on large volume databases to improve SQL query runtime across development, UAT, and production environments. - Develop complex stored procedures for clients across multiple environments. Telecommuting is permitted. NO VISA SPONSORSHIP AVAILABLE. #LI-DNI Qualifications - Master's degree in Electrical Engineering, Computer Science, or closely related field. - Three years experience in the job offered or as Software Developer. - Three years experience handling health care claims data using ETL, T-SQL, SSIS, SSRS, SQL Server, and SCRUM. Requirements - Full Time employment status. - Working location: McLean, VA (Fairfax County). - Travel required: 0%. Company Description Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.
• Diseñar, desarrollar y mantener pipelines de datos escalables y procesos ETL/ELT. • Construir y optimizar soluciones de integración y procesamiento de datos utilizando **Azure Data Factory** y **Snowflake**. • Desarrollar procesos de transformación y automatización de datos mediante **Python** y **SQL**. • Administrar y optimizar entornos de almacenamiento en **Azure Data Lake**. • Diseñar y mantener modelos de datos que soporten iniciativas de analítica y Business Intelligence. • Colaborar con equipos técnicos y de negocio para identificar necesidades de información y proponer soluciones eficientes. • Garantizar la calidad, disponibilidad, seguridad y rendimiento de los datos. • Participar en iniciativas de gobierno de datos, calidad de datos y gestión de metadatos. • Monitorear, diagnosticar y optimizar procesos de integración y procesamiento de datos. • Contribuir a la definición de buenas prácticas y estándares de arquitectura de datos en la nube.
Role Description Estamos buscando un Senior Data Engineer con experiencia en plataformas modernas de datos en la nube para diseñar, desarrollar y optimizar soluciones de datos escalables. Esta posición será responsable de construir pipelines robustos, gestionar grandes volúmenes de información y habilitar capacidades analíticas confiables para el negocio. - Diseñar, desarrollar y mantener pipelines de datos escalables y procesos ETL/ELT. - Construir y optimizar soluciones de integración y procesamiento de datos utilizando Azure Data Factory y Snowflake. - Desarrollar procesos de transformación y automatización de datos mediante Python y SQL. - Administrar y optimizar entornos de almacenamiento en Azure Data Lake. - Diseñar y mantener modelos de datos que soporten iniciativas de analítica y Business Intelligence. - Colaborar con equipos técnicos y de negocio para identificar necesidades de información y proponer soluciones eficientes. - Garantizar la calidad, disponibilidad, seguridad y rendimiento de los datos. - Participar en iniciativas de gobierno de datos, calidad de datos y gestión de metadatos. - Monitorear, diagnosticar y optimizar procesos de integración y procesamiento de datos. - Contribuir a la definición de buenas prácticas y estándares de arquitectura de datos en la nube. Qualifications - Más de 3 años de experiencia en roles de Ingeniería de Datos o Arquitectura de Datos. - Dominio avanzado de SQL. - Experiencia sólida trabajando con Azure Data Factory. - Experiencia en desarrollo con Python. - Experiencia práctica con Snowflake. - Experiencia en entornos de Azure Data Lake. - Conocimiento de procesos ETL/ELT, integración y transformación de datos. - Experiencia diseñando y manteniendo soluciones de datos en entornos cloud. - Capacidad para resolver problemas complejos y trabajar de forma autónoma. - Habilidades de comunicación y trabajo colaborativo. Requirements - Experiencia en Gobierno de Datos. - Conocimientos de calidad de datos, linaje, catálogo y gestión de metadatos. - Conocimiento de arquitecturas modernas de datos y mejores prácticas en plataformas cloud. - Experiencia trabajando bajo metodologías ágiles. Benefits - 🚀 Integración a marcas globales y startups disruptivas. - 📍 Modalidad híbrida. - ⏳ Horario ajustado a la célula de trabajo/proyecto asignado. - 📅 Trabajo de lunes a viernes. - ⚖️ Beneficios legales (aplican para México). - 🎉 Día off en tu cumpleaños. - 🏥 Seguro de gastos médicos mayores (aplica para México). - 🛡️ Seguro de vida (aplica para México). - 🌎 Equipos de trabajo multiculturales. - 🎓 Acceso a cursos y certificaciones. - 📢 Meetups con invitados especiales del área de IT. - 📡 Eventos virtuales de integración y grupos de interés. - 📢 Clases de inglés. - 🏆 Oportunidades dentro de nuestras diferentes líneas de negocio. - 🏅 Orgullosamente certificados como Great Place to Work.
