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

Nominate & Attend

Data Scientist

iO Associates
Manchester
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

Data Scientist - Up to £47,000 - Hybrid Role (One day a month in Manchester and Liverpool)

Are you a Data Scientist looking for a role where you'll have ownership, autonomy, and the chance to make a real impact? My client, a forward-thinking organisation, is looking for a talented professional to join theirData Insights Team, part of their widerBusiness Intelligence Team.

This is a fantastic opportunity to work on strategic, high-impact projects that utiliseData Science, Machine Learning, and AIto solve complex challenges and deliver actionable insights for senior leadership.

The Role

In this role, you'll have the freedom to:

Lead and ownprojects from concept to delivery, including generating ideas for new initiatives. Work closely with stakeholders to turn insights into action, creatingengaging reportsthat tell compelling stories with data. Collaborate with teams across the organisation, including Continuous Improvement, Research, Finance, IT Systems, and Senior Operational Leadership. Use advanced analytics, forecasting, and modelling techniques to evaluate business performance, measure impact, and shape decision-making.

Key responsibilities include:

Identifying business problems and building solutions withData Science and Machine Learning. Forecasting and predicting metrics using algorithms and models. Assessing the impact of interventions and preparing cohort performance statistics. Ensuring sound and robust data practices to deliver high-quality results.

What We're Looking For

The ideal candidate will:

Be aninnovative problem solverwho's excited about building solutions for business challenges. Have strong technical skills in feature selection, model building, and synthetic data generation. Be able tocommunicate complex techniquesto non-technical stakeholders effectively. Work collaboratively with cross-functional teams to deliver impactful solutions. Have a strong foundation in Data Science, with experience applying Machine Learning techniques.

What's on Offer?

Very competitive benefits packageHybrid Working: One day a month in Manchester, one day a month in Liverpool - the rest is remote. The chance to make a genuine impact and take ownership of your work. The opportunity to work in a collaborative environment alongside Insight Analysts, Data Scientists, and Machine Learning Engineers.

About the Client
This global industry leading organisation is dedicated to creating a culture that values collaboration, innovation, and high performance. They are looking for someone who shares their passion for leveraging data to drive meaningful change.

How to Apply
If you're ready to take the next step in your Data Science career and work with a forward-thinking organisation, please get in touch! I'd love to tell you more about this exciting opportunity.

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.