Analyst

Lead analytical projects within one of the AIEI's two research pillars, delivering robust, policy-relevant evidence on AI's economic impacts. The role combines strong analytical capability with a well-developed instinct for policy relevance: turning research questions into deliverable projects and turning findings into clear conclusions that decision-makers can use.

The AI Economics Institute (AIEI) is a joint research organisation of HM Treasury and the Office for the Prime Minister and Cabinet (OPMC). The AIEI has been established to build and maintain the analytical capability needed to put the UK government at the forefront of understanding AI's economic impacts.

The AIEI is not a policy-setting body. UK government departments remain responsible for policy decisions in response to AI. The Institute's role is to improve the quality and timeliness of the evidence and analysis on which those decisions rest.

Responsibilities:

• Lead analytical projects within the AIEI's research programme, delivering robust, policy-relevant evidence and writing it up in a clear, accessible format.
• Work with specialist Research Economists and policy colleagues to turn research questions into deliverable, impact-focused projects.
• Translate complex evidence into clear conclusions and policy-relevant insights for ministers, senior officials and cross-government partners.
• Identify and make use of relevant data sources, including public, administrative, commercial and novel datasets where appropriate.
• Quality-assure analytical outputs, ensuring methods are proportionate, transparent and robust.
• Contribute to cross-government and external engagement on analytical work, including with academics, industry and data partners.

Pillar-specific responsibilities:

• Data & Empirical Research: develop empirical products such as evidence synthesis reports, analysis of labour-market and adoption data, exposure analysis, dashboards and monitoring, drawing out the policy implications.
• Modelling & Scenarios: develop input data and assumptions for models developed by the Research Economist team, running models and visualising outputs, stress-testing assumptions and communicating what different scenarios mean for policy.

Requirements:

• Strong analytical skills and experience delivering high-quality analysis in a relevant government analytical profession, using quantitative and/or mixed-methods approaches to answer complex policy questions.
• Technical experience in the relevant pillar – strong working knowledge of a relevant field of study such as innovation or labour market economics (data pillar), or economic modelling and scenario techniques (scenarios pillar).
• A clear ability to steer analysis towards policy relevance and to draw out policy-relevant insights, framing outputs around the questions decision-makers are asking.
• Ability to communicate complex analytical findings clearly to non-technical audiences.
• Good judgement in selecting proportionate methods and handling uncertainty or evidence gaps.
• Ability to manage analytical projects at pace and deliver high-quality outputs to deadlines.
• Proven interpersonal skills and ability to work collaboratively with colleagues within and outside the team, proactively contributing to team culture and building external networks.
• Creativity and a willingness to challenge conventional wisdom, question assumptions in others' and one's own work, tolerate ambiguity, and change direction as new evidence arrives.