Business Intelligence Engineer / Data Scientist

Ocho
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Artificial Intelligence Engineer

Artificial Intelligence Engineer

2026 Apprentice - Digital (Data Science) - Belfast

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

Business Intelligence Engineer / Data Scientist Do you want to lead the creation of a cutting-edge BI infrastructure? Excited to design AI models for predictive insights and forecasting? Looking to collaborate with dynamic teams and drive data-driven strategies? The Role Join as a Business Intelligence Engineer/Data Scientist, where youll architect and manage BI platforms while developing AI-driven models to forecast bidding, production costs, and resource management. You'll work closely with production, artists, and pipeline teams to design robust data pipelines and deliver actionable insights across departments. Whats In It For You? Competitive salary and benefits package. Opportunity to lead innovative AI/ML and BI initiatives. Collaborative culture with cross-departmental impact. Exposure to the latest technologies in BI platforms and AI modeling. A dynamic, fast-paced environment with room for growth. Technical Skills 3+ years of experience in business intelligence, data science, or related fields. Proven experience in BI platforms (e.g., Tableau, Metabase, Power BI). Strong proficiency in Python (Pandas, NumPy, scikit-learn) and SQL. Expertise in building data pipelines and maintaining AI models for forecasting. Familiarity with integrating data from multiple sources into BI platforms. Knowledge of cloud infrastructure (AWS, GCP) is a bonus. About You Youre the right match if you: Thrive on building data-driven solutions collaboratively with cross-functional teams. Excel at translating complex data into actionable insights for diverse audiences. Have a passion for predictive analytics and AI/ML modeling. Are eager to influence data strategies through teamwork and shared decision-making. This is your chance to play a key role in shaping business intelligence and driving AI-based forecasting in a creative and collaborative environment. Colin has been supporting professionals in finding impactful roles for 6+ years. Get in touch today to learn more about this exciting opportunity! Skills: Tableau Python AWS Benefits: Work From Home

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.