Our client is a well-established broadcaster with a strong presence across linear TV and a growing non-linear footprint (streaming, AVOD, FAST). Audience data drives real decisions here, not just reports nobody reads.

You’ll own the daily, weekly and monthly reporting that tells the business how channels are performing. You’ll dig into BARB data using Advantage or TechEdge, track the competitive landscape, and work closely with the wider team to answer the questions that come up when someone asks “why did that show do better than expected?” There’s no one to manage, and that’s deliberate. This is a role built for someone who wants to get properly good at the craft first.

Central London office, two days in.

You’ve got at least two years’ research experience at a broadcaster, or you’ve come from an agency and worked closely enough with broadcast clients to understand the world. You know your way around Advantage or TechEdge. You’re comfortable with Excel (there’s a practical test at second stage, so come ready).

You’re not looking for a title bump every six months. You want to build depth, learn from people who’ve been doing this a long time, and know that the room to grow is there when you’re ready for it.

They are one of Europe’s largest companies, operating across multiple offerings, from TV to Mobile and Broadband. With over 20 million customers worldwide, they are one of the leaders in the media and entertainment space.

You will be the senior technical owner for media measurement standards, building and embedding a unified framework across ATL, digital, testing, econometrics and campaign reporting – defining the KPIs and evidential standards used to assess media performance, and leading the end-to-end design of strategic geo-tests and incrementality experiments in partnership with Econometrics, Digital Marketing, Media Planning, Media Strategy and Test & Learn.

Line managing a team of 3 Marketing Analysts, you’ll also coach and develop their capability in measurement, statistical thinking and evidence-based decision-making. At the same time, they carry out much of the hands-on technical delivery.

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 .

This is a proper 3-day-a-week role at a business that’s genuinely growing. You’ll be trusted from day one, given real ownership over how the office runs, and worked with by people who don’t do the “just because you’re part-time” thing.

Our client is a fast-growing, PE-backed strategy studio in Southwark, London. Around 35 people, working with some genuinely big global brands, and in the middle of a proper growth chapter. The culture is collaborative and refreshingly unstuffy: smart people who take the work seriously but don’t take themselves too seriously.

• Keeping the office running smoothly: facilities, supplies, health & safety, the vendors who make it all tick
• Helping new starters land well: onboarding logistics, compliance basics
• Supporting the leadership team: calendars, meeting coordination, hospitality for client visits and pitches
• A bit of travel support, for now

No box-ticking on years of experience here. What matters more:

✅ You’re organised without being rigid
✅ You take pride in enabling other people to do their best work
✅ You want somewhere to actually stay, not a stopgap while you wait for the next thing

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”

Created from humble beginnings and set up as a partnership almost 20 years ago, to becoming a customer-champion mobile service provider. They truly have become a huge player within the telecoms industry. Boasting the fact that they have over 5 million customers worldwide!

This will be a hands-on position where you will be responsible for building, validating, optimising, and managing models and data pipelines, working within a Data Science function alongside Data Analysts and Data Engineers.

You will work on a vast array of projects. These could include personalised communications for customers, improving stock and demand forecasting, marketing effectiveness, maximising customer lifetime value, and reducing customer churn.

Key attributes of the suitable Senior Data Scientist include:

• Problem-solving: Proven ability to reframe ambiguous business questions into a clear analytical approach and deliver end-to-end solutions
• Technical modelling: Experience building models on both static and time series data, including propensity and forecasting models
• Coding skills: Advanced SQL, Python and PySpark skills, built on solid software development principles
• Stakeholder management: Ability to work with both technical and non-technical stakeholders, with strong communication skills

Founded over 50 years ago, they have become one of the most recognisable brands on the planet. With over 150 stores worldwide and a turnover of more than £5bn a year, they have become one of the leading companies within the luxury retail space.

This is a fantastic opportunity to join the EMEA Customer Insights team at the heart of one of the world’s most iconic luxury brands, playing a critical role in driving customer-centric focus and strategic business growth.

Working under the Senior Manager, you will lead BAU reporting and proactive analysis of customer performance across all direct-to-consumer channels. You’ll act as a Customer Insights leader within the team and with external partners, with genuine scope to shape processes, influence senior stakeholders, and support the development of the wider team.

Key attributes of the suitable Customer Analytics Manager include:

• Experience: Degree in a numerate subject, with 6+ years’ experience in Customer Insights within Marketing and CRM, ideally within luxury/retail
• Stakeholder Influence: Proven ability to influence and present to senior stakeholders, turning complex analysis into clear, actionable recommendations
• Leadership: Strong leadership and coaching skills, with experience managing and developing a team
• Technical Skills: Skilled across Excel, SQL, and Tableau, with an interest in automation and emerging AI tools (e.g., Copilot)

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”