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

Apply Now

Junior/ Graduate Data Scient

Hayward Hawk
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Databricks)

Data Engineer - ETL

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Graduate/Junior Consultant Data & Technology (Open to PhD Graduates) Are you a recent PhD graduate looking to apply your analytical and research skills in a dynamic, client-focused role? Our client, a leading global firm in consulting and advisory services, is seeking ambitious, problem-solving PhD graduates to join their Data & Technology team. This role offers a unique opportunity to work across various industries, helping clients harness data to drive innovation and informed decision-making. Key Responsibilities: Data Analysis & Insight Generation: Work on complex data sets to derive actionable insights for clients, supporting strategic decision-making. Client Engagement: Collaborate with clients to understand their challenges, delivering tailored solutions that leverage your research and analytical skills. Solution Development: Contribute to the design and implementation of data-driven technology solutions, leveraging industry best practices and the latest digital tools. Continuous Learning: Engage in a culture of development with access to training, mentorship, and career progression opportunities within a global network. Who Were Looking For: PhD Graduates or Junior Data scientists in data science, computer science, engineering, mathematics, or related fields. Analytical Mindset: Strong analytical and quantitative skills with a focus on problem-solving and data-driven decision-making. Technical Skills: Proficiency in programming, data manipulation, and relevant analytical tools (such as Python, R, SQL). Excellent Communication: Ability to present complex ideas effectively to both technical and non-technical stakeholders. Why Join? This role offers the chance to work with a market leader on high-impact projects in data and technology, gaining invaluable industry exposure and experience. As a PhD graduate, youll have the opportunity to transition from academia to industry with mentorship and support to help you succeed in a dynamic consulting environment. Contact Daryl Crothers (Head of Commercial IT) for more information Skills: Python R SQL machine learning ml ai

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.