This is a specialist boutique pioneering the field of Data Economics — a discipline that sits at the intersection of strategy consulting and financial modelling, and one that is growing fast. Their clients are some of the UK’s largest and most complex organisations. The work lands at board level.

The problems are genuinely hard.

They’re looking for a Consulting Manager to join as a Solution Consultant — a core delivery role that sits at the heart of every engagement. You’ll own workstreams, produce high-quality analytical outputs, and manage day-to-day client relationships with confidence. If you’re a structured thinker who wants to do serious consulting work in an emerging field, this is worth your attention.

You’ll work within squads led by a Solution Lead, taking defined workstreams from brief to output. That means building models and analysis, running workshops, presenting findings to mid-level clients, and mentoring more junior analysts on the team. You’ll also contribute to the methods and IP that make the firm’s work repeatable and scalable.

Day to day, you can expect to:

• Own workstreams end-to-end, from brief to client-ready output
• Build analysis, financial models, and structured presentations to a high standard
• Manage day-to-day client interactions — workshops, findings sessions, relationship-building at mid-level
• Support more senior team members on delivery planning and risk management
• Mentor and review the work of Solution Analysts
• Contribute to the firm’s growing library of methods, frameworks, and accelerators

You’ll be a structured, delivery-focused consultant — likely at manager level — with a track record of owning complex analytical workstreams and communicating findings clearly to clients.

• Experience in a consulting, professional services, or advisory environment
• Strong analytical and problem-solving skills — comfortable taking a complex brief and producing clear outputs
• Confident communicator, written and verbal, with experience presenting findings and running client sessions
• Domain experience in at least one area: data strategy, governance, analytics, financial modelling, or business change
• Awareness of commercial context — scope, quality, and what good delivery looks like

The field is genuinely emerging. Data Economics is being defined right now, and this firm is at the front of it. Joining at this stage means being part of building something, not inheriting a finished model.

The work is real from day one. No extended onboarding or shadow work. You’ll be on live engagements quickly, working on problems that matter to serious organisations.

The culture is built on trust. A small, high-calibre team with no unnecessary layers. Your work is visible, your contribution counts, and the people around you are genuinely excellent.

The package is competitive. Benchmarked against consulting market rates, with private health cover, enhanced mental health support, generous family policies, and access to professional financial advice.

Flexibility with purpose. Around 60% in-person collaboration; genuine autonomy to shape the rest of your week around where you do your best work.

This role is being recruited on a confidential basis. The client’s name will be shared with suitable candidates at first conversation stage.

Please apply to find out more.

📍 London | 💼 Permanent, full time | 💰 Competitive salary + bonus

London | Qual | Consumer, FMCG, Retail, Tech, Sport

💸 Upto £80,000 (DOE)
📍Hybrid, Central London offices

• Leading bespoke qualitative research projects from design through to debrief
• Managing relationships with major consumer brands
• Applying a mix of digital and face-to-face qualitative methodologies
• Delivering high-quality analysis and compelling strategic debriefs
• Running multiple projects simultaneously and ensuring smooth delivery
• Supporting and line managing junior team members

• Strong qualitative research experience within an agency environment
• Excellent client management and communication skills
• Experience working across consumer sectors such as FMCG, retail, tech or sport
• Strong storytelling and analysis skills with the ability to deliver impactful debriefs
• Highly organised with strong project management capability
• A collaborative mindset and ambition to continue progressing your career

A leading UK Property Tech business connecting consumers and industry professionals through innovative digital platforms. Backed by strong investment, they are shaping a more connected and transparent property market.

You’ll play a key leadership role within Analytics, supporting the Head of Analytics while overseeing the delivery of high-impact insight and analytics solutions across financial services and property data.

Working closely with key customers, commercial teams, and product stakeholders, you’ll translate complex challenges into actionable insights, help drive innovation, and identify new opportunities to deliver value through data.

Key attributes of the suitable Analytics Manager include:

• Some experience in management consulting and/or financial services analytics or decision science
• Strong technical skills across Excel and SQL (Python ideal), with proven analytical problem-solving
• Confident in client engagement, data storytelling, and presenting insights clearly
• Demonstrated team leadership experience, managing and developing analysts
• Ideally, exposure to property, mortgages, or housing market data (preferably)

Our client is a globally recognised premium fashion retailer with a powerful international footprint across stores, concessions and omnichannel.

They are embarking on a major Next Generation Transformation programme, implementing SAP across global markets to modernise and standardise retail operations.

This role sits within the DTC workstream, representing retail stores at the centre of that change.

You’ll act as the functional product owner for retail within SAP.

That means:

• Designing and standardising global store processes
• Translating retail operations into system logic
• Partnering with Finance, Logistics, Wholesale and IT
• Leading cross-regional collaboration (NA, EMEA, APAC)
• Driving UAT, readiness and adoption across markets

You’ll balance strategic process thinking with hands-on problem solving.

You’ll have:

• 7+ years in strategic retail operations
• Experience in international DTC fashion or premium retail
• Been part of an ERP implementation (SAP preferred)
• Deep understanding of omnichannel store processes
• Strong stakeholder influence skills

You’re structured, analytical, commercially aware… and you care about how stores really work.

✨ You’ll work with exceptionally savvy clients asking genuinely interesting questions

✨ You’ll have real autonomy – no layers of politics or bloated processes

✨ You’ll help grow accounts and win new work, not just “service” projects

✨ You’ll be part of a collaborative, international team that values kindness and capability equally

✨ You’ll see your work used – not parked in decks that gather dust

This role exists because the business is growing fast and needs someone who can step in front of clients with confidence and credibility.

The client is a fast-growing, insights-led consultancy specialising in affluent and high-net-worth consumers. They combine a proprietary data and insights platform with bespoke strategic consulting, helping premium brands understand how wealthy consumers think, behave and make decisions. The culture is entrepreneurial, low-ego and supportive. People stay because they’re trusted, challenged, and given space to do their best work.

📊 Leading senior client relationships end-to-end

🤝 Shaping briefs, pitches and commercial proposals

🧠 Turning complex data into clear, compelling strategic narratives

🎤 Running workshops and presenting to C-suite stakeholders

📈 Growing accounts through upsell and repeat business

You’ll sit at the intersection of insight, strategy and growth.

You’ll likely have:

• 6–10+ years’ experience in consulting, insights or strategy

• Exposure to luxury, premium or financial services clients

• Strong storytelling, deck craft and workshop facilitation skills

• Confidence in commercial conversations and account growth

• A preference for boutique, high-impact environments over big, political agencies

Health and fitness is about behaviour change — and that makes it a fascinating data challenge.

You’ll work with rich customer, operational, and commercial data to:

• Understand how people join, engage, and stay active
• Optimise pricing, retention, and member experiences
• Build predictive models that genuinely influence business strategy

You’ll sit within a well-established Data & Insight team, working alongside Data Engineers, Analysts, and stakeholders across the organisation.

Data Science & Modelling

• Analyse customer and behavioural data across acquisition, retention, engagement, and pricing
• Build, validate, and optimise predictive models using robust statistical and ML techniques
• Carry out exploratory analysis to uncover patterns, test hypotheses, and quantify business impact
• Communicate insights clearly to both technical and non-technical audiences

ML Engineering & Production

• Deploy ML models into production within a modern cloud-based environment
• Build automated pipelines and CI/CD workflows to support training, testing, and deployment
• Monitor model performance, data drift, and reliability — keeping predictions accurate over time
• Work closely with Data Engineering to ensure high-quality, governed, model-ready data

Applied AI (Optional but encouraged)

• Explore how modern AI tools can enhance member experiences and internal processes
• Prototype AI-driven ideas through proofs of concept and lightweight demos
• Help shape responsible and practical AI adoption across the business

You’ll bring

• Strong Python (and/or PySpark) skills for analysis, modelling, and feature engineering
• Solid SQL experience
• A track record of delivering end-to-end predictive modelling projects
• Experience deploying and monitoring ML models in a cloud environment
• The ability to translate complex technical work into clear, commercial insight

• Exposure to MLOps or modern ML engineering practices
• Experience with AI prototyping or experimentation
• Cloud ecosystem experience (particularly Azure-based platforms)
• Interest in customer behaviour, subscriptions, or consumer products

• The chance to work on data products used by millions of members
• A role where your models move beyond notebooks into production
• Space to experiment, innovate, and explore emerging AI capabilities
• A collaborative, inclusive team culture that values impact over ego

This fast-growing business sits at the forefront of applied AI, working with major organisations to build and deploy intelligent systems that solve real operational challenges.

With a strong product roadmap and a collaborative culture, they offer the chance to work on high-impact projects in a fast-paced, forward-thinking engineering team.

This is a DevOps-centric, client-facing engineering role focused on getting AI systems—particularly agent-based solutions—successfully deployed into customer environments.

You’ll work across cloud, hybrid, and on-premise setups, navigating real-world constraints (networking, security, Kubernetes clusters, containerised workloads, etc.) and collaborating directly with clients to get solutions up and running.

You’ll work closely with senior engineering leadership to support deployments, contribute to agent-driven product builds, and ensure smooth delivery across varied technical landscapes.

Key attributes of the suitable DevOps Engineer (AI Deployment) include:

• Deployment & Delivery Experience – Hands-on experience deploying software or platforms into client environments (on-premise, hybrid or cloud).
• DevOps Foundations – Solid experience with Docker and Kubernetes (both essential), plus comfort working across different cloud providers and networking constraints.
• Interest in AI & Agents – Not a pure ML role—just curiosity or side projects involving AI agents, LLM tools, or automation frameworks.
• Client-Facing Mindset – Confidence working directly with customers, understanding their environments, and guiding them through deployment and solution delivery.
• Growth Mentality – 2+ years’ experience in DevOps, infrastructure, platform engineering or forward-deployed engineering roles.

This fast-growing business sits at the forefront of applied AI, working with major organisations to build and deploy intelligent systems that solve real operational challenges.

With a strong product roadmap and a collaborative culture, they offer the chance to work on high-impact projects in a fast-paced, forward-thinking engineering team.

This is a DevOps-leaning, client-facing engineering role focused on getting AI systems—particularly agent-based solutions—successfully deployed into customer environments.

You’ll work across cloud, hybrid, and on-premise setups, handling real-world constraints (networking, security, Kubernetes clusters, containerised workloads, etc.) and collaborating directly with clients to get solutions up and running.

You’ll work closely with senior engineering leadership to support deployments, contribute to agent-driven product builds, and ensure smooth delivery across varied technical landscapes.

Key attributes of the suitable AI Deployment Engineer:

• Deployment & Delivery Experience – Hands-on experience deploying software or platforms into client environments (on-premise, hybrid or cloud).
• DevOps Foundations – Solid experience with Docker and Kubernetes (both key), plus comfort navigating different cloud providers and networking constraints.
• Interest in AI & Agents – Not a pure ML role—just curiosity or side projects involving AI agents, LLM tools or automation frameworks.
• Client-Facing Mindset – Confidence working directly with customers, understanding their environments, and guiding them through deployment and solution delivery.
• Growth Mentality – 2+ years of experience in DevOps, infrastructure, platform engineering or forward-deployed engineering roles.