Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist/AI Engineer (Remote)

YouGov
London
3 days ago
Create job alert

THE TEAM & THE JOB We are seeking a talented and self-motivated Senior Data Scientist/AI Engineer to join our team. In this role, you will design, build, and deploy next generation AI-driven tools for market research. You will work at the intersection of data science and AI engineering. We develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. We handle the most difficult data problems at our company, including massive datasets, missing data, self-selection, measurement error, fraud detection, attrition, and many more. This is a hands-on role that requires both analytical and programming skills at an advanced level. What You Will Be Doing

  • Design and build AI-powered applications to analyze, summarize, and generate insights from survey data.
  • Contribute to technical design and architecture decisions for AI/ML systems.
  • Develop and optimize prompts and chains.
  • Build applications to simplify analytics and improve the efficiency of data processing.
  • Work with structured and unstructured data
  • Collaborate with data analysts, product managers, UI designers, and software developers to create great products.
  • Contribute to model evaluation and performance tracking using both qualitative and quantitative metrics.
  • Stay up to date with recent developments in AI and machine learning, including LLMs, fine tuning, and RAG pipelines.
  • Handling ambiguous, complex problems with minimal guidance
  • Contribute to technical vision, architectural decisions, or to help setting technical standards.
  • Contribute to business impact and strategic problem-solving at an organizational level as and when required.

KEY COMPETENCIES

  • Master's or PhD in data science or related field.
  • Demonstrable progressive experience in senior data science/AI engineering roles.
  • Advanced knowledge in Python and/or R for data analysis, modelling, and visualization.
  • Experience working with LLM APIs and building LLM-based applications and frameworks.
  • Progressive experience with natural language processing, including topic modelling, text classification, and summarization.
  • Experience in taking part in cross-functional technical projects.
  • Ability to write clean, maintainable, well-documented code.
  • Proven track record of delivering complex, high-impact solutions.
  • Ability to cross collaborate with other teams across the business.

For roles based in California, New York, Colorado or Washington State, the base salary hiring range for this position is USD 188,864 - USD 211,600. Compensation offered will be determined by multiple factors including location, job-related knowledge, skills and experience. Certain roles may be eligible for incentive compensation and additional benefits. All US based full time employees are eligible for the following benefits:

  • Paid vacation, holidays and sick days
  • Flexible working arrangement available
  • Group medical, dental and vision insurance
  • Company-paid life and disability insurance
  • Paid parental leave
  • 401(k) with company match

Why join YouGov? Join our global team to help us achieve our social mission: to make millions of people's opinions heard for the benefit of our local, national, and international communities. Understanding diversity of opinion requires diversity of background. Although our global panel of millions of people worldwide powers our research, our biggest asset is our people. If our research is to be truly representative of what the world thinks, we need people from all walks of life to be part of the team to bring their perspective to the work we do. Life at YouGov We are driven by a set of shared values. We are fast, fearless, and innovative. We work diligently to get it right. We are guided by accuracy, ethics, and proven methodologies. We respect and trust each other, bringing these values into everything that we do. We strive to provide YouGovers with best-in-class benefits to support their physical, financial, and emotional wellbeing. We want our employees to have a sense of belonging and uniqueness in a supportive workplace, so they can bring their full selves to work. Equal Opportunity Employer As an Equal Opportunity Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity or expression, and sexual orientation), parental status, national origin, marital status, age, disability, genetic information, HIV status, political affiliation, socioeconomic background, veteran status or any other characteristic protected by law or in line with our responsibilities as a fair and ethic employer. All employment decisions are made based on occupational qualifications, merit, and business need. Data Privacy To find out how we collect and use your personal data when you apply for a role at YouGov, please read our privacy notice at

Related Jobs

View all jobs

Senior Data Scientist – AI for Engineering & Simulation

Senior Data Scientist - AI/ML (CADD)

Senior Data Scientist- AI Evaluation

Senior Data Scientist - Healthcare

Senior Data Scientist - Healthcare

Senior Data Scientist

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.