Document Specialist

Oldham
9 months ago
Applications closed

Related Jobs

View all jobs

Office Based Data Analyst

Data Architect - Bristol - Hybrid Opportunity

Data Analyst

SC Cleared Data Analyst

Data Engineer - Design Configuration

Data Engineer - Celonis Process Mining

Position: Document Specialist

Location: Oldham

Salary: £20k £30k

Hours: 07:45 – 16:30 Mon – Thurs (8.25hrs + 30-minute lunch) 07:45 – 12:45 Friday (5 hours)

My client is seeking a detail-oriented and proactive Document Specialist to join their team. The ideal candidate will play a crucial role in managing, organising, and maintaining various documents and records within the organisation. This position requires strong analytical skills and a commitment to providing excellent customer service while ensuring that all documentation is accurate and up-to-date.

This role is perfect for individuals who thrive in a structured environment and are passionate about ensuring that information is managed effectively within an organisation.

Duties:

  • Organise and maintain electronic and physical document filing systems to ensure easy retrieval of information.

  • Review, analyse, and verify documents for accuracy, legibility and completeness before processing.

  • Assist in the preparation of reports, presentations, and other documentation as required.

  • Provide exceptional customer service by responding to inquiries regarding document status and procedures.

  • Collaborate with team members to streamline document management processes and improve efficiency.

  • Ensure compliance with organisational policies and regulatory requirements related to document handling.

  • Conduct regular audits of documentation to maintain data integrity and security.

    Skills:

  • Strong organisational skills with the ability to manage multiple tasks efficiently.

  • Excellent customer service skills, demonstrating professionalism in all interactions.

  • Proficient in administrative tasks including data entry, filing, and record keeping.

  • Ability to analyse information critically and make informed decisions based on findings.

  • Familiarity with document management software and Microsoft Office Suite is advantageous.

  • Attention to detail is essential for maintaining accuracy in documentation processes.

  • Documentation: 5 years (preferred)

  • GCSE or equivalent (preferred)

    Benefits:

  • Cycle to work scheme

  • On-site parking

  • Overtime Rate X 1.33

  • Holidays: 25 + Bank Holidays

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.