You’ll choose and implement a panel or community management platform and move the existing membership onto it. You’ll set up profiling, screening and verification so the business knows exactly who its members are and can trust the data. You’ll design the engagement programme, including incentives, rewards, communications and feedback loops, so members stay active and respond when projects go live. You’ll grow membership across markets through digital recruitment, referral and partnerships with organisations that already reach affluent audiences. And you’ll work closely with the research and commercial teams so the community is ready for each upcoming project.

• Hands-on experience managing a research panel or insight community, ideally one you have built, relaunched or migrated onto a new platform

• A track record of keeping members engaged and responsive over time, and the numbers to show for it

• Experience recruiting members and running profiling, screening, quality checks and verification

• Working knowledge of panel or community platforms and the incentive tools that go with them

• Around seven years’ experience in panel management, online communities, research operations or a closely related area

• Experience with affluent, HNW or other hard-to-reach audiences, whether consumer or B2B

• Experience across international markets

• A commercial, entrepreneurial streak and ideas about where affluent consumers can be found and how to win their time

To be clear about the fit: this is a market research role. Strong candidates will come from research panels, online community agencies, insight teams that run their own panels, or expert networks. If your background is in members’ clubs, concierge, hospitality or membership sales without research panel experience, this one will not be the right match.

You’ll own a unique asset from the ground up, with real autonomy over how it is built, and work day to day alongside some of the world’s leading luxury and premium brands.

A boutique strategy consultancy, in business for 25+ years, working across 60+ countries. Small by design (around 25 people), which means no armies of analysts and no getting lost in a huge case team. Project teams run 3–4 people, flat structure, and everyone in that room has a real say in the output. Clients are senior: CMOs, Insight Directors, C-suite leaders who’ve come for a straight answer, not a research report.

Expect to be working on 2–3 projects at once, each running a few months, covering things like growth strategy, market entry, brand and portfolio work, and business model innovation. You’ll pull together qualitative and quantitative evidence, build the Excel model and the deck, and land the “so what” in a way a CMO can act on. At Senior Consultant level, you’ll own that end to end: running the client relationship, facilitating the workshop, deciding what the answer actually is. At Consultant level, you’re building toward that, with real client exposure from week one.

You’ve got strategy consulting experience, ideally in growth, market-entry, brand or competitor strategy. You can read a P&L and you know the difference between an interesting insight and a commercial recommendation. You’re just as comfortable with a spreadsheet as you are presenting to a room of senior stakeholders.

One honest note: if your background is purely research or insight, and you haven’t yet had to turn findings into a strategic recommendation someone signed off on, this probably isn’t the right fit yet. If it is, you already know it.

Salary £39,000–£68,000, depending on level and experience. Hybrid working, profit share, private medical from day one, and 30 weeks fully paid parental leave. 

This is a senior, hands-on leadership position. You’ll be the technical anchor for the data science function — leading and mentoring a team, setting methodological standards, and overseeing QA across machine learning, predictive modelling and data visualisation work. You’ll also play a central role in business development: leading technical bids, costing proposals, and pitching data science capabilities to non-technical clients.

• Rare seat that combines deep technical leadership with genuine commercial influence — not just delivery
• Work sits at the intersection of causal inference, ML and real policy impact, across health, financial resilience, gambling harm and sustainability
• Direct input into the organisation’s AI roadmap, shaping how agentic AI and LLMs get used in research and client work
• Lead and grow a talented data science team, with real autonomy over methodology and standards

• Strong applied ML and econometrics skills (predictive modelling, regression frameworks, clustering)
• Experience with causal inference and experimental/quasi-experimental methods (RCTs, DiD, RDD, propensity score matching) is a strong plus
• Fluency in Python and R, with experience building reproducible data pipelines
• A track record of leading technical bids or client-facing proposals
• Experience with LLMs or agentic AI tools in a research or applied services context
• People leadership experience — mentoring and developing technical specialists

• Hybrid: minimum 2 days/week in a London office
• Permanent

• Lead complex quantitative research programmes from proposal through to delivery
• Manage large international tracking studies and other strategic quantitative projects
• Build trusted relationships with clients and become their day-to-day strategic partner
• Deliver compelling insights, presentations and recommendations to senior stakeholders
• Develop proposals and contribute to new business growth
• Mentor and support researchers across the team
• Champion the use of AI, technology and innovative quantitative methodologies

• At least 7 years of experience in healthcare quantitative market research or a related field
• Strong expertise in quantitative research methodologies and data analysis
• Experience leading complex international tracking programmes
• Excellent project management, organisational and client relationship skills
• A commercial mindset with an interest in developing client accounts
• Passion for innovation, technology and AI powered research
• Applicants must be based in the UK and have the permanent right to work in the UK
• Unfortunately, they’re unable to provide visa sponsorship for this role

• Competitive salary and benefits
• Clear career progression opportunities
• A collaborative, ambitious and supportive culture
• Hybrid working with 2 to 3 days each week in their London office, where the team collaborates, learns and innovates together
• The opportunity to work with some of the world’s leading healthcare organisations on projects that make a real impact

Nicholson Glover is a specialist recruitment consultancy founded in 2002. We focus exclusively on four disciplines: Customer Research & Insight, Strategy & Innovation, Data, Analytics & AI, and Product & Technology — placing mid-to-senior professionals with agencies, consultancies, corporate teams, and venture-backed businesses.

They’re looking for an ambitious healthcare researcher to join their UK Insights team. As a Research Manager, you’ll lead projects across both qualitative and quantitative methodologies, working with leading pharmaceutical clients to deliver insights that influence important business decisions.

You’ll take ownership of projects from proposal through to delivery, build trusted client relationships and work alongside a talented team that embraces innovation, AI and technology to deliver outstanding research.

• Lead qualitative and quantitative research projects from proposal through to delivery
• Build and manage strong client relationships, becoming a trusted day-to-day contact
• Design discussion guides, questionnaires and other research materials
• Analyse research findings and develop clear, commercially focused recommendations
• Deliver engaging presentations and workshops to clients
• Support proposal writing and contribute to the growth of client accounts
• Champion the use of AI and technology to improve research quality and efficiency
• Mentor and support junior members of the team

• At least 4 years of experience in healthcare market research or a related field
• Experience managing both qualitative and quantitative research projects
• Excellent project management and organisational skills
• Strong analytical, storytelling and presentation skills
• Confidence building relationships with clients and colleagues
• Passion for innovation, technology and AI powered research
• Applicants must be based in the UK and have the permanent right to work in the UK
• Unfortunately, they’re unable to provide visa sponsorship for this role

• Competitive salary and benefits
• Clear career progression opportunities
• A collaborative, ambitious and supportive culture
• Hybrid working with 2 to 3 days each week in their London office, where the team collaborates, learns and innovates together
• The opportunity to work with some of the world’s leading healthcare organisations on projects that make a real impact

Nicholson Glover is a specialist recruitment consultancy founded in 2002. We focus exclusively on four disciplines: Customer Research & Insight, Strategy & Innovation, Data, Analytics & AI, and Product & Technology — placing mid-to-senior professionals with agencies, consultancies, corporate teams, and venture-backed businesses.

They’re looking for an ambitious Senior Research Executive to join our UK Insights team. This is a great opportunity for a healthcare researcher ready to take more ownership of projects, build their client relationships and develop towards Research Manager level.

You’ll work across both qualitative and quantitative research, helping to orchestrate projects from set-up through to delivery. You’ll increasingly take ownership of smaller projects and workstreams, becoming a trusted day-to-day contact for clients while working closely with experienced senior researchers.

• Help manage qualitative and quantitative research projects, keeping timelines, teams and deliverables on track
• Act as a day-to-day client contact, building confidence and trusted relationships
• Take ownership of smaller projects and workstreams with senior support
• Draft screeners, discussion guides, questionnaires and other research materials
• Analyse and interpret both qualitative and quantitative data, identifying the key story and implications
• Contribute to reports and take ownership of sections of the analysis and storytelling
• Present findings and sections of debriefs confidently to clients
• Proactively identify potential project challenges and help find solutions before they become issues
• Support proposals and wider client opportunities
• Embrace AI and technology to improve the quality and efficiency of our research

• At least 2 to 3 years of experience in healthcare market research or a closely related field
• Experience working across qualitative and quantitative research
• Strong project management and organisational skills, with the ability to manage multiple priorities
• A proactive mindset and confidence taking ownership rather than waiting to be told what to do
• Strong analytical skills with an interest in turning research into clear, meaningful insights
• Confident communication skills and a desire to build stronger client relationships
• Curious, ambitious and excited by innovation, technology and AI powered research
• Applicants must be based in the UK and have the permanent right to work in the UK
• Unfortunately, they’re unable to provide visa sponsorship for this role

• Competitive salary and benefits
• Clear career progression opportunities
• High quality training and development
• A collaborative, ambitious and supportive culture
• Hybrid working with two to three days each week in our London office, where we collaborate, learn and innovate together
• The opportunity to work with some of the world’s leading healthcare organisations on projects that make a real impact

Nicholson Glover is a specialist recruitment consultancy founded in 2002. We focus exclusively on four disciplines: Customer Research & Insight, Strategy & Innovation, Data, Analytics & AI, and Product & Technology — placing mid-to-senior professionals with agencies, consultancies, corporate teams, and venture-backed businesses.

They’re looking for a Director of Client Delivery & Operations to be the final quality gate on everything they deliver — methodology, analysis, and presentation, across custom and subscription work, quant and qual alike. Their client base and project scope are growing in sophistication, including global brand tracking studies and international HNW research programmes, and this role exists to bring the senior technical oversight and delivery leadership needed to match that ambition.

You’ll also play a central role in how the business adopts AI within delivery — genuinely hands-on, not just aware of it — helping capture the efficiency AI and agentic AI can offer while managing the risks with real judgement.

– 12+ years in delivery, market research operations, or consulting operations, ideally within research, insights, analytics, or consulting

– Strong methodological grounding across quant and qual, and genuine confidence overseeing large, complex studies for senior clients

– A background rooted in custom/bespoke research rather than subscription-only work

– Real, hands-on experience with AI and agentic AI tools within a research or data context

– Proven experience leading and developing teams

– Client experience within luxury retail, banking, insurance, hospitality, or luxury-adjacent consumer brands

– An agile, entrepreneurial mindset, and a genuine interest in growing long-term with a scaling business

A competitive, market-benchmarked salary and package, including bonus, pension, and private healthcare. A hybrid working pattern based from a London office, with occasional international travel to collaborate with the wider global team. The opportunity to shape a growing, international consultancy at the leading edge of luxury and consumer intelligence.

Please note: sponsorship is not available for this role — candidates must already have the right to work in the UK.

Nicholson Glover is a specialist recruitment consultancy founded in 2002. We focus exclusively on four disciplines: Customer Research & Insight, Strategy & Innovation, Data, Analytics & AI, and Product & Technology — placing mid-to-senior professionals with agencies, consultancies, corporate teams, and venture-backed businesses.

This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency.

You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises.

This isn’t your typical AI Engineering position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.

Key attributes of a suitable Senior AI Engineer include:

• Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred.
• Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (highly desired), and more.
• Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands-on role in architecting and delivering real-world deployments.

Be honest. Most of your work probably sat in a folder after the final debrief. That’s not a knock on the work, it’s just how consulting usually goes: you deliver, you leave, and the client’s left to figure out the “now what.”

This role exists to fix that gap.

Our client is a fast-growing strategy and insight consultancy, working with some of the world’s biggest brands. They’re deliberately building something rare in this industry: a function whose whole job is making sure the strategic thinking actually lands, not just gets delivered.

You’ll own a brand new function, sitting underneath everything else the business does.

That means:

• Diagnosing where a client’s organisation is stuck, and deciding what to embed first
• Turning strategy and frameworks into tools, dashboards, workshops and coaching people genuinely use
• Building content (films, training, workshops) that makes the work stick, not just documents it
• Working the whole client org, from the leadership team down to the people using the tools daily
• Shaping what “capability” even means for a consultancy in an AI-driven world

You’ve probably worked both sides of this: consultancy or innovation agency, and client-side too. You’ve felt the frustration of handing over great strategic work and watching it stall. You’ve got real opinions on why that happens, and what actually gets people to change how they work.

You might come from a client-side capability or insight team, or from an innovation consultancy. What matters more than the CV line is this: have you actually driven transformation, or just delivered training? If it’s the latter, this probably isn’t your role.

This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.

Their digital AI agents provide always-on, intelligent insights – supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.

As Lead AI Engineer, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.

You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.

Key attributes of the suitable Lead AI Engineer include:

• Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments.
• Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic
• Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale