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

Apply Now

Data Scientist

Ocho People
Belfast
1 week ago
Create job alert

Data Sciencist
Location: Remote within NI
Salary: Up to 55k base plus bonus

We're working with a forward-thinking organisation that's building real-world intelligence from data. They're now hiring a Data Science Manager to help shape their data and AI strategy - leading projects that turn data into actionable insight, predictive capability, and commercial advantage.

The Opportunity

This is a hands-on leadership role suited to someone who can combine deep technical knowledge with clear business thinking. You'll guide a team of data scientists and engineers to design, deploy, and optimise models that drive measurable outcomes - from automating decision-making to uncovering new growth opportunities.

Key Responsibilities

  • Lead the end-to-end delivery of advanced analytics and machine learning initiatives.

  • Collaborate across departments to understand challenges and translate them into data-driven solutions.

  • Build and maintain data pipelines that support model development and deployment at scale.

  • Communicate analytical findings to senior stakeholders in a clear, commercial way.

  • Champion innovation - keeping the team up to speed with the latest tools, frameworks, and techniques in data science and AI.

  • Develop and mentor team members, fostering a high-performing and collaborative environment.

Skills & Experience

  • Strong background in developing and deploying machine learning or deep learning models in production.

  • Skilled in Python and SQL, with experience using frameworks such as TensorFlow or PyTorch (R experience a plus).

  • Excellent understanding of statistics, mathematics, and model evaluation.

  • Proven ability to translate data outputs into business insight and influence decision-making.

  • Degree-qualified (BSc, MSc or PhD) in a quantitative discipline.

  • Demonstrated leadership skills with experience managing technical teams.

Who You Are
You're a problem-solver who enjoys seeing ideas come to life. You combine technical depth with strategic thinking and can lead from the front - building solutions that make a genuine impact. You thrive in a data-first culture and want to shape how AI supports the business over the next decade.

Apply here or reach out to Aaron Somers at Ocho for more information via LinkedIn.

YWFyb24uc29tZXJzLjA1MTkyLjEyMjcxQG9jaG9wZW9wbGUuYXBsaXRyYWsuY29t.gif

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Tax & Legal

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.