Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Employee Benefits Administrator

Luton
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

GenAI Data Engineer

Python, Data Engineer

Data Engineer (T-SQL, Python)

Senior Power BI Developer Data Engineer

Employee Benefits Administrator

Based in Luton, Bedfordshire

We are looking for an Employee Benefits Administrator to join our team, overseeing the administration and data management of our employee benefits platform. Your role is pivotal in ensuring data accuracy and compliance across the system, while accurately updating employee changes and applications.

At Churchill, doing right is at the heart of our values. This is why we will provide you with all the tools, training, support and resources that you need to develop in your career.

Employee Benefits Administrator you’ll be:

  • Working closely with the HR Director, HR Data analyst and Payroll teams in managing full administrative process of the benefits platform

  • Liaising with professional advisors, stakeholders and 3rd parties where appropriate

  • Performing a highly accurate administration service ensuring high standards of audit control, security, policy and statutory compliance.

  • Maintaining accurate records of employees, calculating benefits, and providing first line support to scheme members

  • Creating and analysing reports on statistics using Excel to provide data insights

    Employee Benefits Administrator you’ll have:

  • Previous employee benefits, including pensions administration experience.

  • Excellent computer literacy with demonstrable ability in Microsoft packages including Excel, Smartsheets and data

  • Experience of in working in a confidential environment with highly sensitive and personal data

  • Excellent communication and stakeholder management skills

  • Ability to work to deadlines and juggle multiple tasks and projects, as well as multiple stakeholders

    What we offer you

    We believe in rewarding talent and creating a workplace where everyone feels valued. Here’s what you’ll get:

  • Employee Ownership – You are part of our success!

  • 33 days holiday (including bank holidays)

  • Company sick pay

  • Maternity and paternity leave support

  • 24/7 GP access, plus mental health, wellness, financial, and legal support

  • Two paid volunteering days per year – Give back to a cause that matters to you

  • Exclusive perks and discounts – More than 250 deals available

  • Ongoing training and development – From apprenticeships to leadership programs

  • Wellbeing, Diversity & Inclusion – Our Mosaic Committee and Mental Health First Aiders are leading the way

  • Recognition and rewards – Celebrating our shining stars all year round

    Our Commitment to Inclusion

    We are committed to creating a workplace where everyone belongs. As an inclusive and equal-opportunity employer, we welcome applicants from all backgrounds and experiences. We believe that diversity drives innovation and excellence, and we strive to build a culture of respect, fairness, and opportunity for all.

    Reasonable adjustments

    Please let us know if there are any adjustments, we can make to support you during our recruitment process. We’re happy to help...

    Please note: Security clearance (DBS) is required for this role

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.