Analytical Laboratory Technician

Falkirk
10 months ago
Applications closed

Related Jobs

View all jobs

Junior IT Support Engineer & Data Analyst

Business Intelligence Analyst (Power BI / SQL)

Data Engineer (Big Data/ Hadoop/ Spark Dev)

Data Analyst/ Analytics Engineer (Telecoms)

Junior Data Analyst - Power BI / SQL

Data Analyst Placement Programme

SRG are working with an innovative renewable chemicals manufacturer based near Falkirk who are predicted to play a massive part in the future of Scotland's circular bioeconomy and journey towards Net Zero. We are delighted to assist in their search for a lab technician to join their analytical chemistry laboratory on a full-time, permanent basis.

The Role

As a laboratory technician you will work as part of the production operations team to support on all analysis within the manufacturing process. This involves analytical testing of all materials going through the site from raw materials to finished product, to cGMP standards. As the laboratory technician you will also be responsible for collating data and maintaining data quality. The other key aspect of this role is general lab maintenance (stock control, solution prep, etc.).

The Right Person

To be successful in this role you will;

Have industrial experience in an analytical chemistry lab
Have knowledge of, and experience with, analytical instrumentation such as HPLC, GC & Karl Fischer Titration
Have experience working in a regulated environment (GLP/GMP)Knowledge/experience in microbiological techniques would also be desirable but not essential.

What do you get?

Flexible shift pattern with potential for compressed hours
Salary up to £30,000 (Inclusive of shift allowance)
Private Medical Insurance

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy

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.