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

Apply Now

Student Data and Management Information (SDMI) Manager

Courtauld Institute of Art, University of London
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

2026 Graduate Data Scientist, Strategic Infrastructure

2026 Digital and Data Analyst Industrial Placement

Research Associate in Physics-Informed Machine Learning for Crowd Dynamics

Research Associate in Physics-Informed Machine Learning for Crowd Dynamics

Data Scientist/Software Engineer (AI and Computer Vision)

Job description The Courtauld Institute of Art is the UK’s leading institution for teaching and research into the History of Art and the conservation of paintings, and is also home to one of the finest small art museums in the world. The Courtauld is currently undergoing a capital transformation project that will make The Courtauld’s world-class artworks, research and teaching accessible to more people – in the UK and internationally. Based in the Student and Academic Services (SAS) department and reporting to the Academic Registrar, the role holder is responsible for the preparation of The Courtauld’s student data statutory returns for external agencies, such as the Higher Education Statistics Agency (HESA) and Office for Students (OfS), ensuring their timely and accurate production. The role holder will provide detailed analysis and understanding of the data to enable full reporting to these external agencies to take place. The role holder will be considered an expert SITS user, advising colleagues and identifying developments to processes. The role holder will be responsible for the production of management information in respect of student data and the production of ad hoc reports on student data. The role holder will also have responsibility for the preparation and updating of the academic timetable. You will have: • Comprehensive expert knowledge of Tribal SITS: Vision Student Records System, including HESADOR statutory reporting, Task Management, Batch Processes, Standard Letters (SRL). • Extensive work experience in a HE data analyst/SITS role. • Extensive knowledge of HE statutory returns – HESA Student Record (Data Futures), HESES, Graduate Outcomes. • Experience of developing and managing timetable systems in a HE environment e.g. CELCAT. • Experience of staff management and leading a small team. • Excellent interpersonal skills in order to communicate effectively with staff, students and external bodies. • Excellent attention to detail and able to work effectively and accurately under pressure to tight deadlines. For further information, please see the Job Description and Person Specification. To apply, please complete the online application, which will require you to supply a CV and a supporting statement of up to 1500 words. The supporting statement should set out how you meet the criteria of this position. Please explicitly address the criteria set out in the job description and person specification when preparing your statement. Closing Date: 4th November 2024 Interview Date: Week commencing 18th November 2024 (day to be confirmed) The Courtauld is working towards improving and embedding equality, diversity, inclusion, and anti-racism. From £51,842 per annum including London Allowance

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.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.