Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Agility Resoucing
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

My client has an exciting opportunity is part of the mission to put data and insight at the core of the organisation.

You will define, deliver and implement powerful Advanced Analytics/Machine Learning/Statistical/Predictive Models to support the Head of Insight & Analytics and wider business.

This is an incredible opportunity for an individual who wants to use their skills to truly have a demonstrable impact.

Key Responsibilities

  • Work with Head of Insight & Analytics and stakeholders on the implementation, analysis and reporting of predictive and advanced analytics models.
  • Be proactively involved in maximising the potential for advanced analytics in delivering actionable insight, business uplift and revenue enhancement.
  • Own the performance and maintenance of your models in production.
  • Ensure approach is sufficiently documented based on CRISP-DM or similar methodology.
  • Deliver ad hoc analytical projects and / or research as required.
  • Support the development of new data systems and processes and ensure these are utilised effectively within the team, identifying continual areas of improvement.

Experience and SkillsRequired

  • An excellent understanding of Advanced Analytics/Machine Learning/Statistical/Predictive modelling.
  • Proven expertise regarding data models, data mining and segmentation techniques.
  • Demonstrable ability to successfully output value enhancing work with attention to detail and accuracy.
  • Experience of complex querying of databases (Ideally Microsoft SQL) and data manipulation with significant volumes of data.
  • Experience working with advanced analytical/data mining tools. I.e. IBM SPSS Modeller, KMIME, R, SAS or similar (Ideally IBM SPSS Modeller).
  • Flexible and responsive with a proactive approach to problem solving.
  • A PhD (preferably) or MSc in Mathematics, Statistics, Physics, or a similarly quantitative field.
  • Solid tech knowledge including Python/R/SQL/Data storage understanding/ETL Processes
  • Experience in a commercial, transaction focused environment (Online Gaming a plus).

If you are interested in this role please contact John Devlin at Agility Resourcing.

Please note due to the large volume of applications we receive for these roles, if we have not contacted you within 7 days then unfortunately your application hasn't been successful, however we may contact you regarding other roles. We're sorry we can't contact you directly but we wish you all the best in your job search.

Apply for this job

Regional accountancy, finance and HR recruiters


#J-18808-Ljbffr

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.