Archive Clerk

Colwyn Bay
1 month ago
Applications closed

Related Jobs

View all jobs

Administrator - Barnsley

Adecco as pleased to be recruiting for a Archive Clerk to work within the North Wales Police Force, this will field based working from there Colwyn Bay Headquarters.

You will be working full time 37 hours per week Monday to Friday.

This will be a temporary role until at least the end of October 2025 at present.

OVERALL PURPOSE OF THE JOB:

The role will provide an effective and efficient administrative service by searching Force archived boxes / material and creating a comprehensive list of items stored in the Archive Records Database in accordance with Force Policy and legislation.

The role will comply with the Management of Police Information (MoPI) and Criminal Procedure & Investigations Act (CPIA) in accordance with the National Retention Policy.

DUTIES AND RESPONSIBILITIES:

To be responsible for the processing of operational records from across the force area.
To be responsible for the processing of operational property / exhibits from across the force area.
The post holder will liaise with FRM / SP staff as necessary to resolve the provenance of records as necessary.
Where appropriate the post holder will correct inaccurate records.
The post holder will highlight trends in poor data quality to the Manager.
To ensure discretion, sensitivity and confidentiality is always applied in accordance with Force Policy and procedures.
To ensure that the principles detailed in the current version of NPCC Guidance on The Management of Police Information are applied to Force material as directed by the Force Records / Property & Exhibits Managers and force policy.
Due to the nature of the role manual handling is a requirement. (Manual handling training will be provided).
Any other duties as directed by a Supervisory Officer commensurate with the post and salary grading.PLEASE NOTE DUE TO THE POLICE VETTING CRITERIA YOU MUST HAVE RESIDED WITHIN THE UK CONTINUOUSLY FOR AT LEAST 3 YEARS AT THE TIME OF APPLICATION. UNFORTUNATELY ANYTHING LESS THAT THIS WILL NOT BE CONSIDERED.

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

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.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.