National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head Advanced Quantitative Sciences Tech Delivery

FCRS = GB016
London
8 months ago
Applications closed

Related Jobs

View all jobs

Junior/Mid/Senior Data Scientist - Hybrid, London

Entry-Level Artificial Intelligence Automation Analyst

Summary The Head Advanced Quantitative Sciences (AQS) Tech Delivery is responsible for leading the strategy and delivery of major tech projects and products for our quantitative science communities. Implementing fit-for-purpose processes and state-of-the-art Statistical Computing Environment (SCE) platform and tooling supporting AQS strategy, compliant with global regulatory requirements, this role has a critical impact on development programs and trial teams, enabling over 2000 users. This role promotes positive values and behaviors, driving a mindset shift towards embracing change, fostering enterprise collaboration, continuous improvement, solutioning, and integrating cutting-edge technologies into the enterprise. This leader maintains high focus on business needs, delivering technology solutions that are intuitive through cross-functional collaboration with other departments. Job Description Major accountabilities: Accountable for end-to-end tech transformation roadmap in collaboration with IT, defining AQS implementation strategy, detailed plan and related deliverables further enabling this complex, fast changing organization whilst increasing productivity and securing high quality and compliance. Ensure delivery excellence of projects across the focus areas and supporting workstreams, including coordination of efforts, resources assignment and interdependencies . Ensure solid construct and updates of the business case (value levers and other indicators as appropriate). Establish and monitor KPIs related to transformation progress and risk management. Provide direct input and expertise in the areas of process design, risk management, governance, organizational design and compliance. Ensure high collaboration and foresighted coordination of progress and implications beyond AQS with other teams involved internally across development . Ensure high level of connectivity, transparency and collaboration with other Development and corporate initiatives and departments. Contribute to strategic long-term decision-making by AQS Leadership, driving technology investments in Development in collaboration with Senior leadership. Invested in continual learning and staying updated on emerging trends and technologies within the industry. Develop and shape a world-class computing and engineering organization, managing talent, promoting functional excellence, and recruiting and retaining high talent. Coordinate internal communication and stakeholder management on transformation progress. Emphasize scalability of solutions, ensuring that systems can grow alongside the organization’s needs. Accountable for the talent and career development of direct reports and teams, including performance management, and contribute to the development of AQS staff through onboarding, training, and mentoring. Requirements: University degree in computer science, engineering or relevant field. Preferred Masters, PhD or relevant equivalent experience. Minimum 15 years of relevant experience in project management, process re-engineering and organizational transformation delivery with a strong understanding of drug development preferred. Thorough knowledge of GxP, IT systems, QA and regulatory/clinical development process. Exposure to cloud computing platforms (e.g., AWS, Azure), data science and analytics tools (e.g., Python, R, SAS), iterative development methodologies (eg: Agile) and artificial intelligence and machine learning applications in clinical or research settings. Enterprise-level leadership perspective. Able to make the case for change, engage and influence multiple x-divisional stakeholders. Experienced team leader for global diverse teams. Track record of attracting, developing, and retaining talent and building high performance teams. Experience executing strategic planning and risk management. Skills Desired Automation, Biostatistics, Computer Programming, Cross-Functional Team Leadership, Data Analytics, Drug Development, Global Project Management, Influencing Skills, Leadership, Metadata Management, Statistical Analysis, Strategy Execution

National AI Awards 2025

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.