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

Apply Now

Principal Data Scientist (Consultancy)

Harnham
Leeds
3 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Salary: Up to £100k with a competitive bonus.

Location: UK based, 3 days a week on client site


This role is a great opportunity to work at a dynamic consultancy rooted in the UK, this firm partners closely with public agencies, retailers, transport providers, housing associations, energy companies, and healthcare systems to solve complex problems.


Shape the future of data science and AI — lead transformative projects with real-world impact. We're looking for a Principal Data Scientist to drive advanced solutions in machine learning, AI, and data analytics across diverse industries.


Key Responsibilities


  • Lead complex data science and AI initiatives from concept to deployment.
  • Develop advanced models using machine learning, optimisation, and simulation techniques.
  • Mentor and guide a team of data scientists, driving technical excellence.
  • Collaborate with clients to define problems and deliver measurable impact.
  • Stay hands-on with Python and modern data science tools (pandas, scikit-learn, etc.).


Requirements


  • Proven experience leading end-to-end data science projects.
  • Expertise in machine learning, statistical modelling, and optimisation.
  • Strong coding skills (Python, cloud platforms, ML frameworks).
  • Ability to communicate complex ideas to both technical and non-technical stakeholders.
  • Leadership experience or a desire to mentor and guide teams.
  • Ability to link work to commercial/performance outcomes.


Why Apply?

  • Meaningful work that creates real-world change.
  • Flexible working options and a supportive team culture.
  • Growth opportunities with fast-tracked career progression.


Ready to lead innovative data-driven solutions? Apply today!

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 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.

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.

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.