Data Scientist II, Intelligent Talent Acquisition

London, United Kingdom
Last week
£70,000 – £110,000 pa

Salary

£70,000 – £110,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Last week)
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time.

ITA stands at a critical juncture where our growth trajectory demands sophisticated analytical capabilities to revolutionize our hiring processes while raising the bar of candidates we hire. We are seeking an L5 Data Scientist to spearhead the next generation of Amazon's hiring practices through advanced scientific methods, focusing on two crucial domains - System Health Monitoring (SHM) and Select In for optimizing candidate quality .The role will be instrumental in driving a projected 60% reduction in defect detection time and contributing to ITA's ambitious 15% efficiency gain with Gen AI based workflow transformation target for 2026.

The position will be pivotal in transforming our flagship recruiting system monitoring and extending sophisticated anomaly detection solutions across corporate hiring. By implementing advanced anomaly detection and root cause analysis, this role will directly impact our ability to provide reliable insights to talent acquisition customers while optimizing quality of hire. The role will be leading development of simulation models to identify how to attract and select in talent raising the bar of candidate quality in Amazon. The role will be directly responsible to The integration of cutting-edge Gen AI tools and multi-agent systems will revolutionize our scientific workflows, positioning ITA at the forefront of technological innovation in hiring practices.

The criticality of this Data Scientist role cannot be overstated- Without this position, ITA cannot advance its primary objective of enhanced candidate evaluation, risking system downtime across four critical platforms, compromising candidate quality standards, and directly impacting Amazon's Quality of Hire strategy.


Key job responsibilities
The DS will be :
1. Partnering with senior DS and Applied scientists to identify customer pain points and transform them to measurable goals
2. Iterate rapidly prototypes on anomaly detection, agent based root cause analysis on anomalies detected using scientific approaches
3. Deploy scalable ML/science based models using AWS infrastructure
4. Identifying proactively areas of high value repeated work /product opportunities as candidates for automation using Gen AI
5. Design and run experiments on systems stability pre and post interventions
6. Follow agile workflow for daily project execution
7. Develop in partnership with economists and other DS an integrated framework for developing strategies that attract top tier talent for Amazon.

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Data Scientist II, RufusX Science UK

Amazon London, United Kingdom
£50,000 – £70,000 pa On-site

Data Scientist

Randstad Technologies Recruitment London, United Kingdom

Applied Scientist II, Strategic Account Services (SAS)

Amazon London, United Kingdom
£50,000 – £150,000 pa On-site

Data Scientist

Faculty AI London, United Kingdom
Hybrid

Data Scientist

Hays Technology London, United Kingdom
£600 – £1,000 pd

Data Scientist

ISR Recruitment Exeter, Devon, United Kingdom
£50,000 – £60,000 pa Hybrid

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened 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 machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning 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 Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.