This is a rare opening at one of Ireland’s most established and respected research agencies, with an impressive client portfolio built over more than 20 years. You’ll work on genuinely varied briefs: healthcare, FMCG, banking, media, for household-name clients, in a flat, collaborative culture where great research is seen, valued and acted on.

You’ll be getting hands-on with research projects, running focus groups, IDIs, ethnographic work and online communities, and delivering sharp consumer insight across a wide range of sectors. At more senior levels, you’ll lead client relationships, contribute to new business, and develop junior researchers. Quant plays a supporting role too, so some familiarity helps.

• 4–7+ years of qualitative research experience
• Agency background is essential – consumer research specifically
• A confident, skilled moderator who loves being in the room
• Ireland-based, or genuinely ready to relocate

A specialist B2B technology research agency with a strong reputation for quality, rigour, and commercial impact. Our client sits close to some of the world’s biggest technology organisations, and the insight they deliver genuinely moves strategy. You’ll help shape where the practice goes next, including how AI is changing the way research gets done. They combine deep sector expertise with a genuine appetite for innovation, and they’re building a team that reflects both!

• Leading complex, multi-market quantitative research programmes for global technology clients
• Building trusted, consultative relationships at senior client level
• Turning data into sharp, story-led narratives that clients actually act on
• Line managing and developing a small team of researchers
• Contributing to pitches, proposals, and the strategic direction of the practice
• Championing new approaches – from methodology innovation to AI-enabled delivery

You’re a senior researcher who’s done the work, knows the craft, and is ready for more ownership. You bring:

• Strong quantitative research experience from an agency or consultancy (B2B tech experience preferred, but open to consumer research backgrounds)
• A track record of managing senior client relationships independently
• Line management experience and a genuine interest in developing others
• The ability to turn complex data into a clear, compelling commercial story

A leading UK Property-Tech business providing digital valuation, property risk decisioning, and data services to financial institutions and property professionals.

Their platforms support major mortgage lenders as well as property developers and investors, helping organisations make better lending and property decisions through high-quality data, technology, and analytics.

You’ll play a key role within the analytics function, leading complex analytical projects and delivering high-impact insight to support both product development and client decision-making.

Working closely with product, engineering, and commercial teams, you’ll analyse large and complex datasets to identify trends, evaluate performance, and generate insights that support strategic decisions across the business.

You’ll also contribute to the development and improvement of analytical products and methodologies, ensuring outputs are robust, scalable, and aligned with both client needs and business objectives.

Key attributes of the suitable Principal Analyst include:

• Strong technical skills across SQL and Python (Spark or similar tools beneficial), with the ability to conduct complex analysis on large datasets
• Experience performing analytical deep-dives and back-testing risk metrics to support product development and performance monitoring
• Confident in stakeholder engagement and communicating complex analytical findings to both technical and commercial audiences
• Ideally, a background in one of mortgage lending, property analytics, consultancy, or a data provider supporting financial services

1. MLOps & Azure Architecture

You’ll architect and build our entire cloud-native MLOps platform on Azure, including:

• High-throughput video processing infrastructure
• Robust data pipelines (Encord → Azure → Roboflow)
• Automated model training + versioning
• Deployment of high-performance inference services
• ETL pipelines to turn predictions into client-ready metrics

This is full system ownership — and you’ll be the one building it.

2. Computer Vision Strategy & Model Lifecycle

You will define how we track brand assets across sports video and social media content by:

• Designing the CV approach (models, data strategy, optimisation)
• Integrating Encord annotations with Roboflow training pipelines
• Deploying and optimising the model at scale
• Setting up monitoring to catch model drift before it becomes a problem

3. Human-in-the-Loop (HITL) Tooling

You’ll build the analyst verification interface that:

• Flags low-confidence detections
• Lets analysts quickly confirm/correct outputs
• Feeds improved data straight back into the training pipeline

This is the backbone of our continuous learning loop.

4. Knowledge Transfer

At the end of the project you’ll hand over:

• Documentation
• Architecture diagrams
• Runbooks
• Codebase walkthroughs

So our internal team can take full ownership.

🌟 Why This Role Is Special

• True ownership: You design it, you build it, you ship it.
• No legacy tech: Clean slate. You choose the right tools and architecture.
• Real-world impact: Your system will power visibility metrics used by global brands.
• Massive scope: MLOps, CV, cloud architecture, inference, ETL, HITL — all yours.
• Fast-moving domain: Sports + AI + video = one of the most exciting fields right now.

If you’re tired of being one engineer on a huge team and want to own the entire machine, this is your chance.

You don’t need every keyword — but you should have strong experience with:

• Building production MLOps systems on Azure
• Designing data pipelines and automated model lifecycles
• Deploying and optimising computer vision models (YOLO, Detectron, etc.)
• Working with annotation tools (Encord, Labelbox, Roboflow, etc.)
• Creating scalable inference systems for video/image workloads
• Building HITL or internal analyst tooling
• Shipping production systems in fast-paced environments

• 6-month contract (likely extension)
• Competitive day rate
• Hybrid initially then possible remote UK
• Start date: Jan 2026

As Research Information Manager, you’ll lead a small, expert team delivering high-quality analytical reports that support evidence-based decision-making. You’ll oversee workloads, mentor researchers, review and approve outputs, and occasionally represent your team’s work in formal settings as part of expert testimony.

This is a hands-on role where analytical rigour meets real-world impact — perfect for someone who enjoys both managing people and getting into the detail themselves.

We’re looking for someone who:

✅ Has strong experience in research or data analysis (labour market, economics, or social science background ideal)

✅ Is confident managing, coaching, and motivating others

✅ Can interpret complex information and present it clearly and accurately

✅ Works well under pressure and takes pride in precision

This is a 12-month fixed-term contract with the potential to go permanent — a chance to take on leadership responsibility within a trusted, purpose-driven research team.

👉 If that sounds like you, please apply!