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

Apply Now

Lead Data Scientist

PSR Limited
Edinburgh
2 days ago
Create job alert

This cookie notice applies to the Workday Careers website****A cookieare widely used for website’s functionality, or to make it operate more efficiently, as well as to provide information to the owners of the site.* We use re-targeting (which is a cookie-based technology) that uses simple Javascript code to anonymously 'follow' our audience all over the Web. We use this technology to target individuals for advertising campaigns.To understand how the FCA collects and processes personal data please refer to the .have been set, visit or .To find information relating to other browsers, visit the browser developer's website.To opt out of being tracked by Google Analytics across all websites, visit .## Banner.We use re-targeting (which is a cookie-based technology) that uses simple Javascript code to anonymously 'follow' our audience all over the Web.# Accessibility StatementThis accessibility statement applies to content published on thedomain and its sub-domains. It does not apply to content on https://www.fca.org.uk/ or other domains.This website is run by the Financial Conduct Authority. We are committed to inclusive design and ensuring that our web content is accessible to all.For example, that means you should be able to:* zoom in up to 300% without the text spilling off the screen* navigate most of the website using just a keyboard* navigate most of the website using speech recognition software* listen to most of the website using a screen reader (including the most recent versions of JAWS, NVDA and VoiceOver)We’ve also ensured that the text is clear and easy to understand. has advice on making your device easier to use if you have a disability.## How accessible this website isWe know some parts of this website are not fully accessible:* Checkboxes are not accessible using standard voice commands.* Some radio buttons are not given group titles when tabbing to them using a screen reader.* Edit combo fields with options lists can be difficult to navigate to with voice commands when the field is completed.* The programmatic labelling of edit combo fields with options lists is not clear when using a screen reader.## Feedback and contact informationIf you need information on this website in a different format contact us and tell us:* the web address (URL) of the content* your name and email address* the format you need – for example large print, braille or audio## Reporting accessibility problems with this websiteWe’re always looking to improve the accessibility of this website. If you find any problems not listed on this page or think we’re not meeting accessibility requirements, contact us.## Enforcement procedureThe Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the ‘accessibility regulations’). If you’re not happy with how we respond to your complaint, .## Technical information about this website’s accessibilityThe Financial Conduct Authority is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.## Compliance statusThis website is partially compliant with the AA standard, due to ‘the non-compliances’ listed below.## Non-accessible contentThe content listed below is non-accessible for the following reasons.## Non-compliance with the accessibility regulations* Checkboxes are not accessible using standard voice commands such as “Click checkbox” and can only be accessed by using “Tab” commands. This fails WCAG 2.1 success criterion 1.3.1 (Information & Relationships).* Some radio buttons are not given group titles when tabbing to them using a screen reader. This fails WCAG 2.1 success criterion 1.3.1 (Information & Relationships).* Edit combo fields with options lists can be difficult to navigate to with voice commands when the field is completed. This fails WCAG 2.1 success criterion 1.3.1 (Information & Relationships).* The programmatic labelling of edit combo fields with options lists is not clear when using a screen reader. This fails WCAG 2.1 success criterion 1.3.1 (Information & Relationships).## What we’re doing to improve accessibilityWe are actively engaging with our site developers and independent accessibility professionals to address the issues above and improve overall accessibility with the eventual goal of attaining full WCAG AA compliance.## Preparation of this Accessibility StatementThis statement was prepared on 22nd July 2021. It was last reviewed on 22nd July 2021.This website was last tested on 02/02/2021. Testing was carried out by Blazie Engineering using the Website Accessibility Conformance Evaluation Methodology (WCAG-EM) approach to deciding on a sample of pages to test.Lead Data Scientist National (Edinburgh and Leeds) ranging from £59,100 to £80,233 and London from £64,900 to £88,100 (salary offered will be based on skills and experience)This role is graded as: Lead Associate - Regulatory This role sits in a Data Science team which supports the FCA Enforcement and the Financial Crime agenda. In this role, you will be applying cutting-edge AI and advanced analytics to support the FCA in its fight against financial crime.**Role responsibilities:Take a proactive role in shaping and leading initiatives within the Enforcement & Financial Crime Data Science Unit, helping drive progress on impactful programmes Skills required: Experience in Python, R or other object-oriented languages, applying diverse data science techniquesExperience of leading key workstreams within complex, cross-functional projects, collaborating with stakeholders and ensuring appropriate resourcing to deliver outcomesExperience of collaborating with data engineering and governance teams to maintain and optimise data pipelinesExperience in project leadership, managing, mentoring and developing junior data scientistsBenefits:**A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit . We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. , and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes we may progress applicants whose experience most closely matches the role’s key requirements.Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. SC Clearance is required for this role () - you will hold or will be required to obtain Security Check (SC) level vetting

#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist – Project and Capability

Lead Data Scientist - Remote

Lead Data Scientist

Lead Data Scientist

Lead 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.