Senior Economist or Data Scientist

Career Moves Group
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Machine Learning Engineer

Senior RF Data Scientist / Research Engineer

Senior Data Scientist or Senior Economist Location:UK, London Length: Start: Asap – End: 15/01/2026 Rate: £135kAnnually (Inside IR35) Hours: 9am-6pm Overview The Global AffairsConsumer Insights pod is part of the Conversation Consumer Insightsteam and sits within the broader Data & Insights organizationwithin. Our pod serves as a strategic partner to the Global Affairsteam (made of the Communications and Public Policy teams) andleverages data and economic analysis, as well as market research toproduce the analysis and evidence underpinning and enhancing ourexternal positions. Our work also contributes to strengtheningrelationships and building credibility with regulators and keystakeholders. The Senior Economist role focuses on economic impactmodeling, applying economic principles and analysis to policyissues and research. Responsibilities: - Develop a roadmap foreconomic research spanning key policy issues and serving PublicPolicy teams globally - Oversee and produce a rigorous economicanalysis of policy issues across a wide spectrum of topics relevantto the digital media and entertainment sector, including modelingthe impact of regulations and proposing alternative options toreach policy outcomes. - Design and apply the appropriatemethodologies for varied economic assessments - Scale our economicimpact reporting efforts in relevant markets. Build and owneconomic impact models using the input/output approach. Familiaritywith direct, indirect, and induced economic impact modeling. - Workclosely with the Data Science and Engineering teams to lead theexperimentation of innovative approaches to analysis. Developmetrics as needed. - Serve as the primary point of contact foreconomic requests for Global Affairs teams - Coordinate and buildpartnerships with a wide variety of internal stakeholders to build,strengthen, and scale our economic function - Work independentlyand proactively to deliver high-quality work on time Yourbackground and characteristics: - Minimum 10 years of experienceand background in economics, data science, statistics, or advanceddata analysis, with increasing responsibilities. This can includeexperience with a regulator, economic consultancy, and otherrelated fields - Proven experience in working in a global role andoperating across different regions with a high degree of culturalawareness - Ability to quickly absorb large amounts of data andinformation to grasp complex policy issues in great detail -Flexible and strategic thinker, able to focus on long-term goals,apply economic concepts to policy challenges, and test newapproaches. - Robust analytical skills complemented by excellentverbal and written communication skills in order to articulatecomplex problems clearly and concisely - Familiarity witheconometrics principles and ability to manipulate large data setsand build advanced models. Familiarity with economic impactmodeling is a must (50%+ of the focus for this role). A datascience background is a plus - Ability to manage multiple projectssimultaneously and to effectively prioritize. You are aself-starter and are able to execute project tasks and deliverableswith minimal supervision. - Responsiveness and a bias toward action- Experience with project management and experience working withconsultants are highly desirable - An understanding of the digitalmedia and entertainment sector would be an advantage, as well ascuriosity about entertainment, people’s tastes in different regionsaround the world, and global affairs #J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.