Future Tech Jobs Future Tech Jobs

Development Scientist

PMB Manufacturing & Technical Recruitment Ltd
Hensall, United Kingdom
3 weeks ago
£32,000 – £35,000 pa
Applications closed

Related Jobs

View all jobs

Data Scientist (Platform Development)

ECM Selection Cambridge, Cambridgeshire, United Kingdom

Lead Data Scientist - Customer Development

Faculty AI London, United Kingdom
Hybrid

Data Scientist (KTP Associate)

Newcastle University Newcastle upon Tyne, Northern England, United Kingdom
£43 – £47 pa On-site

Data Scientist / Statistician (Model Developer)

Capital One Nottingham, Nottinghamshire, United Kingdom
Hybrid

Data Scientist / Statistician (Model Developer)

Capital One Loughborough, Leicestershire, LE11 2QG, United Kingdom
Hybrid

Data Scientist / Statistician (Model Developer)

Capital One Spondon, Derbyshire, United Kingdom
Hybrid

Salary

£32,000 – £35,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Entry
Education
Degree
Posted
30 Apr 2026 (3 weeks ago)

Benefits

Benefits
Share
Save job
Create job alert

Development Scientist

Goole, West Yorks

£32k to £35k DOE + benefits

(Please note, VISA sponsorship is not available for this vacancy)

This is an excellent opportunity for someone early in their scientific career who wants to develop quickly and gain real, hands-on experience in product research & development, testing, and factory trial processes.

You’ll join a small, supportive R&D team working on chemical formulations, developing and improving products used across the construction industry. Products that surround us all every day. The work is varied and practical. You’ll be developing new formulations, running

lab tests, collecting and analysing data, and supporting the transfer of new ideas onto the manufacturing line. It’s a role where you’ll see the impact of your work directly in the products being made.

You’ll be mentored by experienced scientists and given a clear development path. Whether you’re one to three years into your career or completing a PhD and looking for your first industry role, this is a chance to build depth, confidence and capability that will set you up for a fantastic career.

What you’ll be doing

  • Lab-based development and testing of polyurethane chemical formulations
  • Supporting formula testing and testing process improvements
  • Analysing data and contributing to technical reports
  • Improving test methods and characterisation techniques
  • Maintaining a safe, organised lab environment
  • Working closely with operations, quality and engineering teams
  • Undertaking ongoing learning & development

What we’re looking for

  • Degree or PhD in chemistry, materials science, chemical engineering, or a related field
  • Experience working in a chemical wet lab environment
  • Understanding of COSHH, chemical hazards, and safe lab practice
  • Strong practical skills and attention to detail
  • Good data handling, analytical, and MS Excel skills
  • A proactive, curious mindset and willingness to learn
  • Full UK driving licence

You’ll be joining a global manufacturer with modern facilities, a collaborative culture and a team that genuinely invests in developing people. This is not a routine lab job. It’s a role that gives you the foundations to grow into a senior development scientist over time.

Interested? Send your CV for an initial confidential conversation.

PMB Manufacturing & Technical Recruitment is operating as an employment business in respect of this vacancy.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

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

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. 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.

Jobs

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

Jobs

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

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. 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.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.