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

Nominate & Attend

HR Shared Services Partner

Dumbarton
3 days ago
Create job alert

HR SHARED SERVICES PAERTNER
£31000 per annum
Minimum contract period of 6 months
Located in Dumbarton

Large, very successful and busy organisation require additional support within the HR Team.

Here's an overview of the key responsibilities:

  • Serve as the first point of contact for HR-related queries, offering accurate and timely advice.
  • Manage a variety of employee lifecycle processes, including onboarding, contractual changes, and leavers.
  • Handle queries via the HR online ticketing system, ensuring they are assigned, resolved, or escalated appropriately, while keeping employees informed throughout.
  • Maintain and update HR systems and employee records with precision.
  • Support the rollout of HR initiatives and processes across the business.
  • Ensure compliance with employment legislation and internal policies.
  • Collaborate with HR Business Partners and Centres of Excellence to resolve complex cases.
  • Meet service delivery standards and contribute to achieving KPIs.
  • Identify and support opportunities for process improvement.
  • Generate reports and provide data insights to support HR decision-making.
  • Uphold data integrity across all HR systems, supporting audits and ensuring accuracy and consistency.
  • Promote and embody the organisation's values in daily work and team collaboration.

    Apply now

Related Jobs

View all jobs

HR Administrator

HR Data Analyst

Data Engineer

Interim Payroll Manager

Data Analytics Lead

Junior NPD Technologist

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 Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.