Materials Control Assistant

CV-Library
Kilmarnock, Ayrshire and Arran
11 months ago
Applications closed

Related Jobs

View all jobs

Data and Statistical Modelling Engineer

Hays Technology Abingdon, Oxfordshire, OX14 5BH, United Kingdom

Applied Field Engineer AI/ML Intern (3 months) - London 2026

Snowflake London, United Kingdom
£0 pm On-site

Senior Data Architect

Altro Norton, Hertfordshire, SG6 1AG, United Kingdom

Head of Global Regulatory Affairs and Strategy

Isomorphic Labs Cambridge, United Kingdom
£0 pa On-site
Posted
21 May 2025 (11 months ago)

Are you organized, detail-oriented, and passionate about keeping operations running smoothly? Boyd Recruitment are looking for a Materials Control Assistant to support our clients supply chain and logistics team in ensuring materials are received, stored, and distributed efficiently and accurately.

Key Tasks and Accountabilities:

Developing and maintaining detailed inventories of materials and supplies located in the company.

Monitoring the levels of materials to ensure optimal stock is maintained.

Liaising with suppliers and managing relationships to negotiate optimal terms of service.

Using software for inventory management to accurately track material flow.

Coordinating with other departments to forecast future material needs based on production schedules and orders.

Identifying and resolving discrepancies between inventory records and stock levels.

Preparing detailed reports on inventory operations, stock levels, and adjustments.

Conducting regular audits to ensure data integrity and compliance with industry standards and best practices.

Reviewing and processing purchase orders and shipping documents.

Ensuring materials meet specifications and quality standards.

Managing cost issues and formulating cost-reduction strategies.

Implementing sustainability initiatives in material handling and usage.

Coordinating with warehouse staff to ensure proper storage and material protection.

Troubleshooting supply chain issues related to materials and proposing effective solutions.

Participating in team meetings to discuss improvements in processes and productivity.

Any other adhoc duties as required

Key Performance Indicators:

Team working skills

Able to work under pressure and deliver results to a defined deadline

Can-do attitude, self-motivated

Flexible

Attention to detail

Confident

Good communication skills

Experience:

Experience of working in a Logistics/warehouse environment

Experience of working with an SAGE or other SAP Software (Not Essential)

Proven responsibility for the working under own supervision to complete tasks.

Experience in a Materials admin role

Qualifications:

Intermediate level Microsoft Excel (conditional formatting, Pivot Tables, VLOOK UP, Index & Match, Data validation) – (Essential) English & Maths – (Essential)

Fluency in English Language spoken & written – (Essential)

Proficient in Microsoft Office Outlook/Word – (Essential)

For more information or to apply, please contact Jordan Mackay

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.