Compensation & Benefits Specialist

Peninsula
3 days ago
Create job alert

Compensation & Benefits Specialist

Location: Greenwich - Hybrid (3 days in-office, 2 days remote)

Salary: £45,000 - £48,000

We are seeking a Compensation and Benefits Specialist to join a leading organization's HR team, reporting to the Compensation and Benefits Manager. This mid-level role requires an open-minded, detail-oriented professional who thrives in a fast-paced environment. The successful candidate will administer and enhance compensation and benefits programs, ensuring they remain competitive, compliant, and aligned with corporate objectives.

This is not a management role instead, it offers a growth-driven opportunity where you'll gain deep expertise in compensation structures, data analytics, and stakeholder engagement. If you're eager to develop your career in a hands-on, high-impact role, this is for you!

Key Responsibilities:

Compensation & Benefits Administration

Oversee salary reviews and performance bonus campaigns, ensuring compliance with corporate policies
Manage and administer employee benefits (pensions, health insurance, life assurance)
Serve as a key liaison for providers and vendors (Mercer, Aviva)
Ensure alignment with UK employment laws and regulations

Data Analysis & Strategic Reporting:

Conduct data audits to maintain consistency and accuracy
Analyze compensation trends to inform business decisions
Prepare reports on Gender Pay Gap (GPG) and workforce trends
Support future tender processes and provider changes

Stakeholder & Employee Engagement:

Act as a key contact for compensation and benefits inquiries
Improve internal communication regarding salary structures and benefits using internal systems
Collaborate with HR, Payroll, and cross-functional teams to ensure seamless integration of compensation strategies

What We're Looking For:

Education: Bachelor's in HR, Business, Finance, or related field (CIPD is a plus)
Experience: 4-7 years in Compensation & Benefits or HR-related roles
Technical Skills: Proficiency in Excel (essential), HR software, analytics tools, and familiarity with AI-driven HR solutions
Industry Knowledge: Strong understanding of UK employment laws and compensation trends
Soft Skills: Excellent communication, stakeholder management, and problem-solving abilities

Why Join Us

Exposure to international operations across multiple global locations
Career growth in HR analytics, policy development, and compensation strategy
Be part of a dynamic, people-focused team that drives positive change

Ready to make an impact? Apply now

Related Jobs

View all jobs

Senior Compensation & Benefits Specialist

Recruitment Consultant - NEW YORK

Mass Spectrometry Scientist

Delivery Driver | Livingston/Edinburgh

Charity Delivery Driver | Collection & Deliveries - Aberdeen

Python Developer

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.