National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

APPLIED DATA SCIENTIST

iO Associates
Milton Keynes
6 months ago
Applications closed

Related Jobs

View all jobs

Applied Data Scientist

Senior Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Science Lead

Position:Applied Data Scientist (SC Clearable)
Location:Hybrid (close to Milton Keynes with flexible home working and occasional travel)
Salary:£55,000- £65,000 D.O.E

Are you ready to play a key role in public sector digital transformation?

If so…

iO Associates valued client is the place for you! They're an experienced team who apply cutting-edge data science technologies to help deliver impactful solutions within the public sector.

Key Responsibilities:

Collaborate on cross-industry projects, applying your data science expertise to develop intelligent systems using advanced analytics, machine learning, and AI. Design and deliver solutions that achieve customers' business goals. Build strong relationships with customers and academic institutions, advancing innovative solutions.

Key Skills:

Proficient in Python, SQL, Power BI/Tableau, NLP, and machine learning. Strong communication and problem-solving abilities. Willingness to learn and adapt in a fast-paced environment.

Key Benefits:

Salary up to £65,000 D.O.E Entitlement to join the company Medical Insurance scheme (if employed). Additional Health related benefits (if employed). IT and Mobile Phone (if employed). Entitlement to join the company Pension scheme. Company performance bonus scheme.

My client is looking to fill this position URGENTLY and will interview early next week for the right candidate!

If you're interested in this role, or know someone who would be, then please apply with your latest CV to a. methula@ io associates. Co.uk

National AI Awards 2025

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.