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

Apply Now

HR Administrator - 12 Month FTC

Haywards Heath
8 months ago
Applications closed

Related Jobs

View all jobs

Operations Data Analyst & Administrator

Operations Data Analyst & Administrator

CFO – SaaS – Data Governance – Paris / San Francisco

Dadansoddwr Data / Data Analyst

HR Data Analyst

HR Reward & Data Analyst - Maternity Cover (14 months)

Join Our Client's Team as an HR Administrator!

Job Title: HR Administrator (12 Month FTC with possibility of extension)

Location: Outskirts of Haywards Heath (Must be able to drive due to location)

Hours: Monday - Friday, 37.5 hours

Salary: Up to 24K

Are you passionate about people and looking to make a difference in a positive environment? Our client, a forward-thinking organisation, is seeking an enthusiastic HR Administrator for a Fixed Term Contract of 1 year. This is your chance to shine in a role that blends administrative excellence with HR support!

Key Responsibilities:

Assist in the recruitment process, from posting job ads to scheduling interviews.
Maintain employee records and ensure data integrity.
Support on boarding and training for new hires.
Help organise employee engagement activities and events.
Respond to employee inquiries regarding policies and procedures.

What We're Looking For:

Some proven experience in HR administration or a related field.
Strong organisational skills with great attention to detail.
Excellent communication abilities, both verbal and written.
Proficient in MS Office Suite and HR software.
A positive attitude and a knack for problem-solving!

What Our Client Offers:

A vibrant and supportive work environment.
Opportunities for professional development and growth.
A chance to be part of a team that values your contributions and ideas.
Competitive salary and benefits package.If you're ready to jump into a role that blends your administrative prowess with a love for HR, we want to hear from you! Bring your energy and skills to our team and help us make our workplace even more amazing.

Apply today and let's create something great together!

Office Angels is an employment agency. We are an equal opportunities employer who put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicity's, generations, religious beliefs, sexual orientations, gender identities, abilities and more. We do this by showcasing their talents, skills and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Office Angels are an equal opportunity employer and are acting as a recruitment agency for this vacancy.

Please be aware we receive a lot of applicants for our roles if you have not been contacted within the next 5 days of applying for this role on this occasion you have not been successful but please go to our website for more vacancies - (url removed).

Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website

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.

Jobs

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.