Accounting Technician

Portsmouth
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst - Band 5

Data Analyst - Band 5

Data Analyst

Data Analyst - Band 5

Technical Reporting Manager

Group Finance Manager

One of my local government clients are currently recruiting an experienced Accounting Technician on a temporary basis. This is a 3-month minimum contract with the possibility of the role being extended further to work Monday to Friday 9:00am to 5:00pm.

Hybrid working role were, however, you will be required to attend the office 2/3 times a week.

Overview:

  • The purpose of the role is to provide support to the Senior Accountant to enable them to deliver high quality financial management, professional advice and accountancy services to the Director of Housing, Neighbourhood and Building Services (HNB), Heads of Service, Members and other key stakeholders via the Group Accountant or Finance Manager.

    Requirements:

  • Be a qualified Accounting Technician or a Graduate studying towards a full accountancy qualification.

  • Have the ability to form good relationships & provide a first-class service.

  • Be able to communicate effectively with staff at all levels, including senior officers.

  • Have experience of and the skills needed to meet deadlines.

  • Have experience of preparing budgets and be able to assist in the preparation of monthly budget monitoring reports, preparation of monthly accounts, financial monitoring and final annual accounts.

  • Be aware of the tools used to appraise and evaluating the financial implications of projects and proposals using accounting techniques and be able to prepare simple financial appraisals for onward review.

  • Have proven experience in successfully developing and maintaining financial models.

  • Be computer literate - have a high standard of spreadsheet skills and be proficient in the use of Word, Outlook and Excel etc. You'll also need to be able to use financial information systems such as Oracle (E-Business Suite) and Business Intelligence would be an advantage.

  • Have good organisational skills and be able to prioritise work & concentrate time on the most important matters to meet key deadlines.

  • Have a good knowledge and understanding of customer care, equalities & Health & Safety

  • Be an effective team player with a positive outlook, willingness to learn and a flexible approach to work.

  • Have an open mind and an ability to apply new ideas to improve processes that benefit all stakeholders.

  • Knowledge of Local Government Finance would be an advantage.

    If you are interested in this vacancy, please send your CV to Jahker Miah from Coyle Personnel Ltd

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.