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

This role would suit someone with 1–3 years’ experience in research or analyst roles, particularly within:

Market intelligence
Desk research
Economic or labour market research
Policy or public sector research
Research analyst roles
Unlike many research roles, the work produced here has real-world impact — reports are regularly relied upon in employment tribunals, High Court cases and major public inquiries.

Working as part of a small and highly analytical research team, you will contribute to the production of labour market assessments and employment reports used in legal proceedings.

Your responsibilities will include:

Conducting labour market and salary research using a range of public and proprietary sources
Analysing salary surveys, pay scales and employment data across different occupations and sectors
Producing structured research notes, tables and written analysis for inclusion in expert reports
Identifying and validating reliable sources and statistics relevant to specific cases
Supporting research used in employment tribunal cases and wider legal proceedings
Conducting primary research, including questionnaires or contacting organisations for information
Using Excel to analyse and present salary and employment data clearly
Contributing to the development and maintenance of the organisation’s research library
The role combines analytical desk research, data interpretation and structured written reporting.

This role would suit someone who enjoys structured research and evidence-based analysis.

Ideal candidates will have:

1–3 years’ experience in a research or analyst role
Strong desk research and information gathering skills
The ability to analyse data and draw logical conclusions
Excellent written communication skills
High levels of attention to detail and accuracy
Confidence using Excel to analyse and present data
Interest in labour markets, employment trends or economic research
Experience with salary benchmarking, labour market data, policy research or economic datasets would be beneficial but is not essential.

Research that directly influences legal decisions
Exposure to employment law, labour markets and economic analysis
Work on high-profile cases and major public inquiries
Join a small, intellectually rigorous research team
Develop deep expertise in labour market and salary analysis
Location

The role is based in Greenwich, London, and candidates should be comfortable working in the office full-time initially.

Next Steps

If you enjoy digging into data, uncovering reliable evidence and producing structured research outputs, this role offers a unique opportunity to apply those skills in a highly impactful environment. Please apply to this advert.

Nicholson Glover is a specialist recruitment consultancy founded in 2002. We place mid-to-senior professionals in insight, strategy, data, analytics, and product roles — with agencies, consultancies, and global brands across the UK and internationally. Speak to us: francis@nicholsonglover.co.uk

🔹 A full shopper research programme — methodology through to delivery, your call

🔹 Thought-leading reports and insight that actually move client thinking

🔹 Senior client relationships — advisory boards, webinars, deep dives

🔹 A blend of quant, qual and emerging AI-driven approaches

🔹 Line management of a Shopper Analyst — genuine people leadership

✅ Senior-level insight or research experience with real industry credibility

✅ Retailer or client-side experience (think Tesco, Waitrose, or similar) — highly desirable

✅ A methodology-led mindset — social listening, communities, conjoint, and beyond

✅ Confidence in the data yourself, not just presenting someone else’s analysis

✅ Storytelling that shapes opinion, not just reports it

✅ Advanced Excel and PowerPoint skills

💰 Up to £67,000 basic

🚗 £5,000 car allowance (cash option available)

📈 12.5% pension (5% employee contribution)

🏡 Hybrid — 2 days/week in the office

🌴 28 days annual leave + bank holidays, with holiday flex

⏰ Early finish Fridays

🩺 Private medical insurance, life assurance and a genuine wellbeing offering

📚 Support for professional qualifications and continued learning

Sound like your next move?

If you’re ready to trade “delivering insight” for shaping the agenda, I’d love a confidential conversation .

Our client is a fast-growing boutique growth consultancy with a proprietary tech stack that uncovers the real drivers of portfolio company performance. They partner with leading mid-market PE funds and their portfolio businesses across B2B and B2C, and are building a high-calibre team to match their momentum

You’ll lead strategic workstreams across go-to-market, channel, product, and customer strategy. Using analytical tools, you’ll turn CRM, web, and sales data into actionable insights – then present recommendations that drive results.

Working with clients and project leads, you’ll shape strategy, enhance proprietary tools, and help build lasting business growth.

Key attributes of the suitable Senior Associate include:

• 2–4 years’ experience in strategy consulting, commercial analytics, or PE-related roles
• Proficient in SQL and/or Python, with strong skills in data visualisation (Tableau ideal)
• Background in segmentation, marketing analytics, or go-to-market planning
• Thrive in ambiguity and complexity, with a knack for finding the “so what”

Our client is a fast-growing boutique growth consultancy with a proprietary tech stack that uncovers the real drivers of portfolio company performance. They partner with leading mid-market PE funds and their portfolio businesses across B2B and B2C, and are building a high-calibre team to match their momentum

You’ll lead strategic workstreams across go-to-market, channel, product, and customer strategy. Using analytical tools, you’ll turn CRM, web, and sales data into actionable insights – then present recommendations that drive results.

Working with clients and project leads, you’ll shape strategy, enhance proprietary tools, and help build lasting business growth.

Key attributes of a suitable Analytics Consultant include:

• 2–4 years’ experience in strategy consulting, commercial analytics, or PE-related roles
• Proficient in SQL and/or Python, with strong skills in data visualisation (Tableau ideal)
• Background in segmentation, marketing analytics, or go-to-market planning
• Thrive in ambiguity and complexity, with a knack for finding the “so what”

– Design and deliver quantitative research — surveys and analysis that shape client strategy — for clients at the frontier of technology and beyond

– Turn research findings into clear, actionable recommendations for senior client stakeholders

– BUILD and Use AI tools to speed up and sharpen analysis, and build on that experience to contribute to the team’s internal AI products (including podcast and newsletter tools)

– Review and sense-check AI-generated (“vibe-coded”) outputs with a critical, analytical eye

– Flex into wider comms, policy or research work as needed

**Recent examples of the kind of work you’d be doing:**

– Helping a research organisation understand what drives its reputation in AI search

– Helping a large tech company navigate a strategic governance decision

– Mapping the media conversation around a tech client’s highest-priority issue

– Helping an investor understand its positioning in the market

– Strong quantitative research experience — comfortable with survey design, data analysis and turning findings into strategic recommendations

– A decent working understanding of communications and policy, so you can operate credibly with clients and colleagues

– Comfortable writing code and reviewing others’ code (R, SPSS or Python backgrounds all welcome) — not a software engineer, but genuine coding literacy is expected

– Corporate research agency experience is a plus but not essential — we’re equally open to backgrounds in management consulting or in-house corporate insight teams

– Genuine curiosity about AI tools, and the judgement to use them critically rather than blindly

– Employee ownership — everyone shares in the firm’s success

– A twice-yearly bonus based on company and individual performance

– Private healthcare and dedicated mental health support

– 26 days’ holiday plus public holidays

– Visa sponsorship available for the right candidate

– Hybrid working, three days a week in the London office

We know profiles like this rarely tick every box on paper. If you’re excited by the role and meet most of what’s above, we’d love to hear from you — get in touch confidentially to find out more, including the client’s identity and full compensation details.

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. Speak to us: francis@nicholsonglover.co.uk

Our client is a leading data science and engineering consultancy, specialising in delivering applied AI and data science solutions that create measurable commercial value for some of the world’s largest private equity funds and their portfolio companies. PE-backed and with a global footprint spanning the US, UK, and India, they have built a high-performing team of several hundred experts and a client base that keeps coming back

You’ll own the full lifecycle of data science engagements, from shaping ambiguous problems through to deploying production-grade models that embed into real operational workflows.

This isn’t a research or experimentation role – it’s delivery-focused, commercially grounded, and built for someone who thrives at the intersection of rigorous data science and client impact. You’ll work across organisations at every stage of data maturity, set the technical standard internally, and develop the next generation of data scientists within the team.

Key attributes of a suitable Managing Consultant (Data Science) include:

• Deep Applied Data Science Expertise – you bring 5+ years of hands-on experience delivering end-to-end machine learning and statistical solutions in production environments.
• Commercial Problem Solver – you’re confident translating ambiguous business challenges into hypothesis-driven data science solutions, and equally comfortable presenting findings and influencing decision-making at the senior client level.
• Technical Leader – you set the bar for code quality, reproducibility, and best practices, and take pride in mentoring and developing others. You understand that the measure of success is client outcomes, not model sophistication.
• Awareness of Generative AI – some exposure to LLMs, RAG pipelines, or agentic workflows is a plus, though strong data science fundamentals will always take priority.