Deputy Payroll & Pensions Manager

Tooting Broadway
1 week ago
Applications closed

Related Jobs

View all jobs

Registered Manager

Our client is seeking a Deputy Payroll & Pensions Manager to join their busy team on a 12-month FTC basis
Working in central London with hybrid working is available for this post

Duties include;

Payroll Management for over 2500 employees on a monthly basis
Oversee the production of allocated payrolls, ensuring accurate and timely payment of salaries and bursaries in compliance with PAYE, NI, and other statutory regulations.
Assist in the administration of pension schemes, including the production of annual returns and compliance with statutory requirements.
Ensure payroll and pension processes comply with relevant regulations and internal policies.
Support the development and maintenance of payroll systems, including testing legislative patches and system upgrades.
Work closely with HR, finance, and other departments to resolve payroll and pension queries and ensure data integrity.
Prepare and validate payroll reports, including BACS files and costing files for the financial ledger.
Deputising:
Act as the Payroll Manager in their absence, ensuring continuity of service.Qualifications and Skills:

Experience:
At least 5 years of experience in a payroll function, with knowledge of payroll software and pension schemes within a high volume environment
Skills:
Strong attention to detail, excellent communication skills, and the ability to manage multiple tasks under pressure.
Knowledge:
Extensive understanding of income tax, national insurance, statutory sick pay, maternity pay, and other related regulations.
Team Management experience
If you have previous payroll & pensions experience within a high-volume payroll department, and you are available immediately to commit to a 12 month FTC position, then please apply now !

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV

No Visa Sponsorship available for this post

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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.

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.

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.

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.