Senior Economist/Data Scientist

ZipRecruiter
London, England
12 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Data Scientist - Credit Risk

Martin Veasey Talent Solutions Northampton, Northamptonshire, United Kingdom
£80,000 – £120,000 pa Hybrid

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Senior Data Strategy Consultant, Marketing Solutions

TransUnion London, United Kingdom

Senior Staff Software Engineer - Unity Catalog Runtime Enforcement

Databricks London, United Kingdom

Senior Technical Program Manager, Professional Services

Databricks London, United Kingdom
On-site

Senior Manager, Product Security

Databricks United Kingdom
Posted
7 May 2025 (12 months ago)

Job Description

Job Title:Senior Economist

Client Location:Central London - Hybrid (3 days on-site)

Starting:ASAP

Salary/Pay Rate:£135k per annum, pro rata (PAYE)

Hours:Full-time

Duration:until mid Jan 2026

Join a global entertainment leader as a Senior Economist and make a real-world impact on policy decisions shaping the future of digital media. You will be at the forefront of critical research, influencing policy discussions, and driving strategic decision-making. This temporary role offers a unique opportunity to leverage your expertise in a dynamic, fast-paced environment.

As a Senior Economist, you will be a key member of the Consumer Insights team within Global Affairs. You will partner with Public Policy and Communications teams, providing data-driven economic analysis and research to inform external positions and build credibility with key stakeholders. This role is instrumental in shaping the narrative around critical policy issues.

What You'll Do:

  • Develop a roadmap for economic research on key policy issues impacting the digital media and entertainment sector.
  • Conduct rigorous economic analysis of policy issues, including modeling the impact of regulations and proposing alternative policy options.
  • Design and implement appropriate methodologies for diverse economic assessments.
  • Lead the scaling of economic impact reporting efforts in relevant markets.
  • Build and maintain economic impact models using the input/output approach, including direct, indirect, and induced economic impact modeling.
  • Collaborate with Data Science and Engineering teams to explore innovative analytical approaches and develop relevant metrics.
  • Serve as the primary point of contact for economic requests from Global Affairs teams.
  • Build and maintain partnerships with internal stakeholders to strengthen and expand the economics function.
  • Independently manage and deliver high-quality work in a timely manner.

Must-Haves:

  • Minimum 10 years of experience in economics, data science, statistics, or advanced data analysis, with increasing responsibilities. This can include experience with a regulator, economic consultancy and other related fields.
  • Proven experience in a global role, operating across different regions with cultural awareness.
  • Ability to quickly understand complex policy issues from large amounts of data and information.
  • Flexible and strategic thinking, focusing on long-term goals and applying economic concepts to policy challenges.
  • Strong analytical and communication skills to articulate complex issues clearly and concisely.
  • Familiarity with econometrics principles, experience manipulating large datasets, and building advanced models.
  • Extensive experience with economic impact modeling.

Nice-to-Haves:

  • Data science background.
  • Experience with project management and working with consultants.
  • Understanding of the digital media and entertainment sector.
  • Interest in entertainment, global tastes, and global affairs.

The next steps will be shared with shortlisted candidates by EOD on Thursday 17th April.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to sex, veteran status, and other legally protected characteristics. We're about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

Client Description:

Our Client is the world’s leading streaming entertainment service, proud of their unique company culture. This organization has offices all over the world, and has continued to grow for almost 25 years. They now play an active role in production and distribution of original and award-winning content.

Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, or neurodivergence.

#J-18808-Ljbffr

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.