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

Apply Now

Data Scientist ( NLP)

Ocho
Belfast
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist | Edtech | £60k to £70k | Global Business

Data Scientist - Hybrid

Unlock the Power of Data Insights Our client is a leader in helping organizations gain valuable, actionable insights from their data across a wide range of sectors, including Finance, Risk, Marketing, HR, IT, Audit, Logistics, AML, Clinical Trials, Life Sciences, and Platform Support. With a team spread across Europe and a fully remote operation, this dynamic company has ambitious growth plans and is looking to expand its expert team at all levels over the next three years. The Role: Analytics Subject Matter Expert In this pivotal role, youll be responsible for developing advanced data and NLP models to enhance our clients service portfolio. As an Analytics SME, youll have the unique opportunity to drive innovation, create cutting-edge models and tools, and play a key role within a team of solution delivery experts. Youll combine strong technical skills in statistical analysis, data modeling, machine learning, and classification with the commercial insight to communicate the business value of these solutions effectively to clients. Were looking for candidates with outstanding NLP skills and a solid understanding of various techniques, including classifiers, statistical modeling, multiclass and multilabel classification, transfer learning, and outcome-based modeling. Confidence in discussing the theoretical aspects of NLP and language modeling techniques is essential. Key Responsibilities - Stay current with industry-leading modeling tools and NLP technologies, encompassing both open-source and vendor-specific solutions - Accurately interpret client requirements and align them with functional delivery - Showcase skills in statistical analysis, machine learning methods, and text representation techniques - Design NLP models, tools, and applications that meet client needs - Transform natural language data into actionable insights through advanced NLP techniques - Select annotated datasets suitable for supervised learning applications - Develop efficient text representations that transform language into usable features - Implement optimal algorithms and tools for NLP tasks - Collect and analyze data to support model building and client-specific inquiries - Prototype solutions using NLP and Explainable AI (XAI) technologies - Extend machine learning libraries and frameworks for NLP applications - Present complex findings clearly to client business teams - Create rapid proof-of-concept analytics solutions to demonstrate innovative capabilities - Build and evaluate predictive and forecasting models to ensure optimal performance Qualifications/Experience Essential: - Degree in mathematics, computing, or a related field - Proficiency in Python, R, and other coding languages - Specialist skills in data analytics - Full legal authorization to work and travel throughout the UK and EU, including Northern Ireland and the Republic of Ireland Desirable: - Strong interpersonal, presentation, and communication skills - Demonstrated experience in natural language processing, machine learning, and data analytics - Industry experience and a solid understanding of business processes - Excellent problem-solving skills, with the ability to work both independently and within a team For more information on this role, reach out directly to Ryan Quinn on LinkedIn or submit your CV via the link below. Skills: NLP Data Science Benefits: Performance Bonus

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.