RAND Europe is an independent, not-for-profit research organisation whose mission is to help improve policy and decision-making through rigorous and independent research and analysis. We benefit the public interest through the impact and wide dissemination of over 200 projects per year. Our work at its most impactful changes policy, practice and process to the benefit of the public good. That is also our organisational mission. RAND Europe has approximately 195 staff across offices in Cambridge, Brussels, and the Netherlands. Our staff represents 22 nationalities, speaks over 20 languages and covers 31 academic disciplines. Our multi- and inter-disciplinary approaches to research generate unique perspectives and insights for our wide-ranging government, foundation and other NGO clients. About the role This Data Science Apprentice role offers an excellent opportunity to gain hands-on experience and develop practical skills in data science and analytics while working towards a recognised qualification on a two year fixed term contract. As a member of the Data Science Lab, you will support a range of research and data analysis projects, contributing to the development of high-quality datasets, analytical tools, and insightful visualisations. This role enables you to learn from experienced data scientists, collaborate across multidisciplinary teams, and apply your skills to projects that inspire better policy and decision-making. You will receive comprehensive training and mentorship, developing your expertise in data collection, cleaning, programming, and communication of data-driven insights. Upon completion, you will have built a solid foundation in modern data science workflows and best practice within a research environment. As well as ensuring sufficient training to meet the Level 4 Data Analyst Apprenticeship, you will have access to a range of complimentary training services as part of RAND’s Data Science Lab. Responsibilities Support the extraction, aggregation, and creation of datasets from a range of sources, including open databases, web scraping, policy documents, academic literature, and bibliometric data. Clean, standardise, and prepare datasets from various sources, ensuring data quality and consistency prior to analysis. Explore and analyse datasets using a range of analytical tools – including statistical methods, regression analysis, and machine learning techniques – to identify key trends and generate actionable insights for research projects. Create clear, engaging data visualisations and dashboards to communicate key research insights to internal and external audiences, including policy makers. Contribute to the adaptation of existing data workflows, such as the systematic application of large language models (LLMs) in a Python programming environment for data extraction and analysis. Maintain up-to-date code repositories and documentation, ensuring code is well annotated and accessible for team use. Assist in the development and upkeep of dashboards and digital observatories using tools such as Power BI, Streamlit, Shiny, Plotly or WordPress. Collaborate across the Data Science Lab and research groups, providing support to colleagues and contributing to a positive, inclusive team environment. Undertake ad hoc duties as required. Requirements Strong interest in data science and research analytics, with demonstrable motivation to build a career in this field. Familiarity with data analysis, statistical concepts, and creating data visualisations (coursework, science experiments, projects, or self-study count). Some experience with coding (e.g. Python, R, or similar) is desirable but not essential. Excellent problem-solving skills. Effective verbal and written communication skills, with the ability to present findings clearly. Strong team player who can work collaboratively and communicate clearly within a team. Self-starter with a positive attitude, curious mindset, and willingness to embrace new challenges. Commitment to continuous learning and professional development. A-levels (or equivalent) in Mathematics, Science, Computing or related subjects (essential). GCSE Maths and English A* – B/5 – 9 (essential). Further experience or coursework in coding, statistics, or data analysis (desirable but not required). Benefits Pension - 8% Employer contribution; 33 days holiday allowance, including the Bank Holidays; Annual salary review; BUPA medical insurance; Generous company sick pay; Enhanced family friendly policies; Group income protection scheme; Group life assurance; Compassionate leave; Flexible working arrangements; Learning and development opportunities; Employee wellbeing training and support; Fresh fruit every day; Free on-site parking; Cycle to work scheme; Access to company bikes; Service awards. Salary Circa £21,000 How to apply If you believe you are suited to the above role, please follow the link here to place your application via Digital Native: Data Analyst Apprentice - Digital Native Please note if you apply via workable your application may not be reviewed. If you have not been contacted within 30 days of application deadline, please assume your application has not been successful.