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Research Assistant - Human Influence

The role involves designing and running studies to understand how frontier AI systems influence human attitudes and behavior, focusing on risks to human agency and wellbeing. You will work with top technical talent, run large-scale RCTs, and have the opportunity to lead-author or co-author publications.

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AI Security Institute

London, United Kingdom

Hybrid Permanent

Product Manager, Analytics

This role involves owning the end-to-end analytics product for enterprise learning and development, focusing on individual learner progress, programme-level reporting, and leadership views. You will work closely with customers, the engineering team, and designers to define and build a product that provides actionable insights and trusted data for learning leaders and executives.

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Synthesia

London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Computer Vision Engineer

This role involves leading the development and deployment of cutting-edge computer vision systems for high-impact projects in the defence sector. You will act as a technical authority, guiding multidisciplinary teams, contributing to business development, and shaping the technical strategy for CV work.

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Faculty AI

London, United Kingdom

On-site Permanent

Startup Hunter Account Executive, UKI

As a Startup Hunter Account Executive, you will focus on acquiring new accounts across the UK and Ireland, developing account execution strategies, and exceeding sales targets. You will work closely with prospects to identify new use cases and showcase the value of Databricks' Data Intelligence Platform, ensuring customer satisfaction and driving growth.

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Databricks

London, United Kingdom

£700 – £750 pd Hybrid Contract Clearance Required

Data Architect

The Data Architect will lead the strategic integration of agentic AI and large language models across the enterprise, defining governance frameworks, advising senior stakeholders, and mentoring other architects. This role involves close collaboration with external AI providers and internal teams to ensure responsible AI practices and successful adoption.

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Experis

Croydon, London, United Kingdom

On-site Permanent

Data Scientist II, RufusX Science UK

This role involves developing and optimizing large language models to enhance the conversational AI capabilities of Rufus, Amazon's shopping assistant. Responsibilities include designing evaluation frameworks, conducting A/B tests, and collaborating with cross-functional teams to improve customer engagement and system performance.

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Amazon

London, United Kingdom

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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.

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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.

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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.

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