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

Apply Now

Senior Plant Co-Ordinator

Astley
6 months ago
Applications closed

Related Jobs

View all jobs

Head of Quantitative Analytics

Senior Biostatistician

Senior Data Scientist

SVP, Data Strategy

Senior Business Analyst Data Analytics & AI Remote

Senior Data Analyst - Tableau, Data Visualisation

Description

Due to ongoing expansion and growth we are looking to recruit somebody to support the Plant Hire Desk. The department is responsible for processing all plant related requests sent in to the Plant Desk in a fast paced environment

Key Responsibilities

Work as part of the team to support the day-to-day operation of the Plant Hire Department and assisting the Hire Desk manager to ensure the timely completion of requests.

 Sourcing and raising orders for all plant requests coming into the plant desk

 Complete all administration tasks as required

Ensure our asset management system is updated with all supplier information and the costs are correct

Action breakdowns within the timeframes of the SLA’s set out to minimize downtime and manage the contract’s expectations.

Processing supplier live hires within Excel to ensure system accuracy 

Assisting with weekly reports

Assisting in processing and distributing supplier invoice queries to resolve in time for the payment run.

 Liaise with other departments to ensure data integrity is correct and any discrepancies are identified, and re-occurrence is avoided.

Experience and Qualifications

The successful candidate will be ambitious, willing to learn and keen to grow with the company in a busy Plant department. 

Previous Plant hire / hire desk experience is essential. Knowledge of the Utilities industry is desired but not essential

Strong IT Skills (Outlook / Word / Excel) is essential

The ability to plan your day and prioritise workload

Confident phone manner to liaise with internal and external personnel at all levels.

Salary and Benefits

We offer a competitive salary based on experience along with a full benefits package.

Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.

We are Armed Forces-friendly. We welcome applications from ex-Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners.

We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy.

About Network Plus

Network Plus is an award-winning business delivering essential utility and infrastructure services for the UK’s major providers of gas, power, telecoms, transport, water, and wastewater.

We value the variety of experience, perspective, and other points of difference our workforce, clients, and supply chain offer.

We are actively working with colleagues across the Network Plus Group to develop an inclusive environment – we want all our employees to feel valued and included to enable everyone to thrive at work and understand the value of their contribution matters no matter their background, identity, or circumstances

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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.

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.