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Applied AI Developer – Market Research, O’Neill Amárach Consultants Ltd

  • Sector: Technology
  • Location: Dublin (Dublin, Ireland)
  • Salary: €40k - €50k
  • Project duration: 18 months
  • Contract length: 18 Months
  • Hours per week: 40 Hours
  • Closing date and time: 05/06/2026, 17:00

Job Summary

This position is with O’Neill Amárach Consultants Ltd. The role forms part of an Innovation Boost project supported by InterTradeIreland. Salary support under the programme is provided for 18 months; however, the employment contract is with O’Neill Amárach Consultants and is not limited to the funding period.

Amárach Research is one of Ireland's leading market research organisations, with over 30 years of experience delivering insight-driven research across the public and private sectors for clients including AIB, Electric Ireland, An Post, and the Credit Union sector. Specialising in membership, sustainability, advertising, and SME research, Amárach is now entering an exciting new phase of development through an Innovation Boost partnership with Ulster University, applying artificial intelligence and agentic AI to transform its membership research capability into a scalable, AI-powered intelligence platform — and is seeking a talented Research Assistant to play a central role in delivering that ambition.

Job Description

Working in partnership with Ulster University, Amárach is developing an AI-powered membership intelligence platform for the Credit Union sector, integrating automated data preparation, machine learning-based pattern detection, NLP-driven sentiment analysis, persona generation, and agentic AI workflows. The project represents a genuine step change in Amárach's analytical capability, moving from manual, analyst-driven research processes to a scalable, autonomous insight delivery platform with significant commercial potential.

The Role

This is an exciting opportunity for a technically skilled and research-oriented individual to work at the intersection of applied AI and commercial market research. The successful candidate will be embedded within the Amárach and Ulster University partnership team, contributing directly to the design, development, and validation of the AI platform under the supervision of Dr. Tazar Hussain (Ulster University). The role offers rare exposure to real-world AI product development within a well-established Irish research company, with the opportunity to build lasting expertise in some of the most in-demand technical areas in the industry.

Key Responsibilities

  • Support the design and development of AI-powered data preparation and cleaning pipelines for survey data ingestion
  • Develop and implement machine learning models for member segmentation and behavioural pattern detection
  • Build and integrate NLP models for sentiment analysis and thematic coding of open-ended survey responses
  • Contribute to the development of an automated persona generation module drawing on segmentation and NLP outputs
  • Support the design and implementation of agentic AI workflows to orchestrate end-to-end analytical pipelines
  • Assist in the testing and validation of platform outputs with Credit Union pilot clients
  • Document methodologies, model performance, and technical processes to support knowledge transfer to Amarach staff
  • Contribute to academic and industry reporting requirements associated with the Innovation Boost programme
  • Collaborate effectively with both the Ulster University research team and Amárach's research and client services staff
  • Stay current with developments in applied AI, NLP, and agentic AI relevant to the project's technical goals

What We Offer

  • A competitive salary for the duration of the 18-month funded project
  • The opportunity to work on a commercially meaningful, real-world AI product development project
  • Close mentorship and supervision from an experienced academic AI researcher at Ulster University
  • Hands-on experience across the full AI development lifecycle — from data pipeline design to agentic workflow integration
  • Exposure to a well-established, client-facing market research environment with a 30-year track record
  • The chance to build a strong professional portfolio at the cutting edge of applied AI and NLP
  • A collaborative, cross-border working environment spanning Dublin and Northern Ireland
  • Contribution to knowledge transfer outputs that will have a lasting impact on Amárach's long-term AI capability

The successful graduate will lead this project, in a supportive partnership with Ulster University as part of the InterTradeIreland Innovation Boost Programme.

Interviews will be held approximately week commencing: 15/06/2026

Essential Criteria

  • An honours degree (2:1 or above) in Computer Science, Data Science, Artificial Intelligence, or a closely related discipline.
  • Demonstrable knowledge of machine learning principles and their practical application, with experience or working knowledge of Natural Language Processing concepts and techniques.
  • Ability to work independently within a structured project timeline, with strong written and verbal communication skills and the ability to present technical findings to non-technical audiences.
  • Must be legally entitled to work in Ireland/EU and travel throughout the island of Ireland if required; if you do require a visa/work permit allowing you to work in Ireland/EU you must upload a copy of it with your application. Failure to provide a relevant Visa/Work permit may result in your application not being considered.

Desirable Criteria

  • Postgraduate qualification (MSc or PhD) in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Hands-on experience with transformer-based NLP models such as BERT, RoBERTa, or GPT-based architectures, including sentiment analysis and thematic coding of qualitative or survey text data.
  • Experience with machine learning model training, fine-tuning, and evaluation on domain-specific datasets, including clustering and segmentation algorithms for customer or member profiling.
  • Familiarity with agentic AI frameworks and multi-step autonomous workflow design, alongside knowledge of data pipeline development and ETL processes
  • Experience with data visualisation tools and cloud-based AI deployment environments such as AWS, Azure, or Google Cloud.
  • Prior experience working in an industry-academic collaborative research environment, with knowledge of the market research sector or financial services landscape considered a distinct advantage.
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