This isn’t a tracker-management role.

It’s a strategic diagnosis role.

If you’re an Insight Manager who connects brand perception, pricing, competitor behaviour and commercial performance — and turns that into decisions — this will be of interest.

You’ll sit within a Strategy & Innovation environment, partnering across Marketing, Commercial Finance and Operations.

The remit includes:

• Diagnosing performance issues — not just reporting them
• Connecting brand tracking, market share and pricing data into a clear narrative
• Leading ad hoc qual & quant research end-to-end
• Building compelling outputs that influence action
• Challenging thinking when the data tells a different story

You’ll contribute to major planning cycles and help raise the bar for how insight drives growth across the business.

I’m looking for:

• 5+ years in insight, analytics or market strategy within a consumer-facing environment
• Strong experience with brand health tracking (e.g. YouGov, Savanta or similar)
• Comfort working across market, pricing and competitor data (e.g. Circana or equivalent)
• Proven experience influencing cross-functional stakeholders
• A commercial mindset — you understand how perception links to performance

This role will suit someone who wants to operate as a true commercial partner — not just an insight provider.

This organisation supports thousands of UK SMEs and advisors with expert-led tax, legal, and regulatory guidance.

Subscription-led and digitally evolving, they combine deep domain expertise with modern data and product innovation to help businesses navigate complexity with confidence.

An opportunity for an experienced Data & BI Manager to take ownership of the company’s data strategy and BI capability.

You’ll lead governance, CRM integrity, and executive reporting, working cross-functionally to drive smarter commercial decision-making across sales, marketing, editorial, and product.

This is a strategic, hands-on role shaping how data fuels growth, performance, and digital innovation within a subscription-led business.

Key attributes of the suitable Data & BI Manager include:

• Proven experience owning and delivering data strategy within a commercial environment, with strong expertise in data governance, quality management, and UK GDPR compliance.
• Advanced technical capability across Salesforce CRM and Power BI, with experience integrating CRM, marketing, ecommerce, and analytics platforms to deliver accurate, automated and commercially meaningful reporting. (SQL is also desirable)
• Commercially astute and stakeholder-focused, able to translate complex data into clear, actionable insight that influences senior decision-making – ideally within a subscription, publishing, or information-led business.

You’ll be trusted to build relationships your way, shape your pipeline, and see the direct impact of your work on the company’s growth. You’ll be helping brands and creative teams make smarter decisions, faster, using a product that delivers genuinely actionable insight. You’ll join at a pivotal moment: the business has grown fast, demand is high, and this hire unlocks the next phase of growth. There’s momentum, ambition, and plenty of room to make your mark.

Our client is a fast-growing tech business helping brands and creative agencies test creative work – from TV ads to rebrands and product launches – with real people in hours, not weeks. They combine qualitative and quantitative feedback with AI to turn raw consumer responses into clear recommendations that creatives can act on immediately. Clients include globally recognised brands and top-tier design agencies.

The team has scaled rapidly while staying intentionally lean. It’s a self-driven, high-trust environment where smart people are encouraged to think beyond their job title.

• Driving new business (around 60% of your time) through cold outreach, LinkedIn, email and networking

• Running discovery calls, demos and pilots end to end

• Growing existing accounts through thoughtful upsell and expansion (40%)

• Working closely with Customer Success on account strategy

• Owning your pipeline, targets and approach – outcomes matter more than rigid process

You’ll be based in London, with hybrid working (2–3 days in the office).

This role is likely to excite you if you:

• Have 3+ years’ experience in sales, business development or account growth

• Understand agency, insight or research environments

• Enjoy autonomy and problem-solving in a start-up setting

• Are confident opening doors and closing deals

• Care about selling something meaningful, not just hitting numbers

Our client is a boutique strategy partner to global consumer goods businesses. They’re known for partnering closely with leadership teams to create strategic clarity, consensus, and commitment, then helping teams actually deliver it. Client mix includes FMCG and adjacent sectors (including tobacco and drinks). If that’s not for you, this won’t be the right role, and that’s okay.

• Fast progression: they want a Senior Consultant who can step into Manager-level responsibility quickly (not “in a few years”). 🚀
• Real client exposure: you’ll be trusted to lead workstreams, run sessions, and build relationships, not just polish slides.
• Growth journey: profitable, scaling up, formalising the team, and investing in future growth (you’ll help shape it).
• Hybrid, sensible: typically 1 day/week in London (sometimes 2)

You’ll blend sharp thinking with confident delivery:

• Synthesise data + research into clear, decision-ready insight
• Build interview guides, lead interviews, and craft crisp write-ups
• Develop frameworks and storylines that land with senior stakeholders
• Produce high-quality decks (charts, narrative, recommendations)
• Support and increasingly lead workshops / stakeholder sessions
• Contribute to proposals and business growth alongside delivery

You’ll likely have:

• 3+ years in FMCG and/or marketing/strategy consulting
• Strong consulting fundamentals (analysis, research, interviewing, charting, storytelling)
• Confidence facilitating and leading client conversations (or very close to it)
• A pragmatic, insight-led style (not overly “creative brand strategy”)
• Enjoyment of consulting pace + variety… and ambition to grow fast

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 SQL, Python, and Tableau, 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 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”

We are hiring an experienced market research sales/account manager with a background in online research panels, sample or data collection services.

This role is focused on selling into market research agencies, insight teams and consultancies across markets.

You will join a global, fast-growing research services provider with proprietary panels across the UK and multiple European markets. The business works closely with leading research agencies and brands and continues to scale following recent acquisitions.

This is a true split role combining new business development with hands-on account management.

Account management – 60%

• Manage and grow an existing portfolio of market research clients
• Scope studies, assess feasibility and prepare commercial proposals
• Work closely with project management teams to ensure smooth delivery
• Upsell new panels and research solutions into existing accounts
• Act as a trusted commercial partner to clients

New business development – 40%

• Win new clients buying online research panels and sample
• Sell into market research agencies, media agencies, PR and insight teams
• Own a defined UK sales territory and consistently deliver against targets
• Pitch confidently to new prospects and build a strong commercial pipeline
• Attend and represent the business at UK market research events and conferences
• Stay close to market trends, competitor activity and new research solutions

This role is right for you if

• You have 2–5 years experience in market research sales or data collection sales
• You have sold online panels, sample or multi-country research studies
• You already sell into research agencies, insight teams or consultancies
• You are comfortable owning both new business and existing accounts
• You are target-driven, commercially astute and client-focused
• You want to progress within a growing market research business

Our client is a fast-growing technical consultancy known for delivering bespoke software engineering on complex, high-impact programmes across the UK public sector. Their culture is flat, collaborative, and delivery-focused. Engineers are trusted to make decisions, work closely with stakeholders, and shape solutions from idea through to production. Projects are long-running, teams are stable, and engineering quality genuinely matters.

You’ll join an agile, client-embedded team delivering modern, scalable systems. Your work will include:

• Designing and building backend services using Java (12+) and Spring Boot

• Contributing to front-end development (ideally Angular, though React is welcome)

• Working across the full SDLC: requirements, build, test, deploy, support

• Applying TDD/BDD, clean code principles, and DevOps practices

• Collaborating directly with non-technical stakeholders to shape solutions

• Growing your cloud and DevOps capability (AWS/Azure, Docker, CI/CD)

Remote-first, with occasional on-site collaboration when it adds value. 🏡

You’ll likely be a mid-level full stack engineer who:

• Has strong commercial experience with Java and modern frameworks

• Is comfortable being client-facing and explaining technical decisions

• Enjoys working across backend and frontend, not just one layer

• Cares about code quality, learning, and continuous improvement

• Is eligible for UK security clearance (UK-based, no visa sponsorship)

If you want your engineering skills to be seen, trusted, and developed, this role is worth your attention. 👀

With over a decade of industry presence, this brand has expanded to more than 250 locations across the UK and proudly supports a community of over 500,000 members. They’ve built a reputation not just for their size and scale, but for a people-first culture and strong core values that are truly embedded across the business.

This is an exciting opportunity for a commercially minded Data Scientist to take ownership of end-to-end modelling and ML pipeline development within a fast-paced, consumer-focused organisation.

You’ll lead impactful work across the full lifecycle — from exploration and predictive modelling to deployment and automation — using modern cloud tooling to shape smarter pricing, retention, and customer insight. Alongside hands-on modelling, you’ll help strengthen MLOps practices and contribute to emerging AI initiatives, working closely with engineering and analytics teams to deliver scalable, high-value solutions.

Key attributes of the suitable Data Scientist include:

• Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models.
• Exposure to MLOps or ML engineering practices, including pipelines, CI/CD, model monitoring, and working with tools like Azure ML or Fabric.
• Commercially minded communicator who can translate data into clear, actionable insight and work collaboratively with technical and non-technical stakeholders.

Because impact here isn’t theoretical – it’s lived. You’ll design experiments, run studies and translate insights into action that gets rolled out on the ground. This is work with purpose, backed by a team that genuinely values curiosity, rigour and innovation.

The role comes with a generous package too:

✨ £52–62k salary

✨ 40 days’ annual leave

✨ Private medical & dental

✨ 8% employer pension

✨ Learning and wellbeing allowance

✨ Cutting-edge AI tools to elevate your research workflow

✨ Hybrid working in London or Edinburgh (2–3 days in office)

Our client is a non-profit accelerator committed to improving early childhood outcomes. They combine data science, mixed-methods research and entrepreneurial thinking to design, test and scale evidence-based interventions.

They’re not a standard foundation. They roll up their sleeves:

➡️ identifying a challenge

➡️ researching it deeply

➡️ designing and trialling interventions

➡️ implementing solutions in real-world settings

Their mission is simple but bold: give every child the conditions to flourish.

No two weeks look the same, but you will:

• Lead mixed-methods research across quant, qual and secondary analysis.

• Design field experiments, online experiments and surveys.

• Work closely with data scientists to turn complex evidence into actionable programme insights.

• Shape organisational strategy and strengthen intervention design.

• Communicate findings through clear, compelling storytelling.

• Support and mentor junior researchers.

• Represent the organisation at events and conferences.

Your work will directly influence programmes that are tested and deployed across the UK.

You’ll thrive here if you:

• Bring 5+ years of applied research experience and strong mixed-methods confidence.

• Have experience designing trials, experiments or large-scale surveys.

• Can translate evidence into practical, impactful recommendations.

• Care deeply about early childhood, prevention, social policy or related fields.

A growing consultancy at the forefront of behavioural science and human-centred design is expanding its Behavioural Intelligence capability — blending data science, behavioural analytics, experimentation and AI.

We’re looking for a curious, commercially minded Data Scientist who enjoys solving complex problems, finding behavioural patterns in data, and turning insights into simple, powerful stories.

You’ll work alongside behavioural scientists, researchers and consultants to deliver analytical projects for major clients across industries such as finance, retail, energy and utilities.

It’s the ideal next step for someone with solid technical foundations who wants to broaden into consulting, experimentation, behavioural analytics and insight-led storytelling.

Analyse Behavioural & Customer Data

• Work with varied datasets (implicit response data, transactions, qualitative transcripts).

• Build clustering, segmentation, predictive and ML models to explain and forecast behaviour.

• Support experimental design, hypothesis testing and behavioural measurement.

Create Impactful Insights

• Translate analytical findings into clear, behavioural and commercially grounded recommendations.

• Present insights to non-technical stakeholders and support consultants on client programmes.

Improve Tools & Workflows

• Contribute to reproducible code, documentation and internal data practices.

• Support automation, pipeline development and embedding analytics into client solutions.

Work Across Disciplines

• Partner with behavioural scientists, designers and strategists to combine data with human insight.

• Help develop the consultancy’s Behavioural Intelligence toolkit and AI-enabled ways of working.

• Around 2.5–5 years of experience in data science or applied analytics.

• Strong skills in Python and SQL (R a bonus).

• Experience with machine learning techniques (clustering, regression, NLP, ensemble methods).

• Good grounding in statistics (hypothesis testing, regression, experimental design basics).

• Ability to distil complex technical results into simple, engaging narratives.

• Curiosity about human behaviour and decision-making.

• Experience running end-to-end analytics projects.

Nice to have:

• Cloud experience (Azure, AWS or GCP).

• NLP / text analytics.

• Exposure to A/B testing.

• Understanding of behavioural science principles.

• Work at the intersection of data science and behavioural science — a rare and exciting blend.

• Solve meaningful, human-centred problems with real-world impact.

• Grow in a multidisciplinary environment that mixes behavioural research, consulting and AI.

• Join a culture that values curiosity, experimentation, rigour and continuous learning.

Benefits include: season ticket loan, cycle-to-work scheme, discounted gym membership, health screening & dental cover, EAP, free annual eye test, a well-stocked office kitchen and regular team socials.

If you want to grow into a more consultative, behavioural and experimental Data Scientist — this is the role.

Apply now.