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 data science 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 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 (heavily 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.

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 data science 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 (heavily 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.

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 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 frameworks
• Delivery Leadership & Client Ownership– Comfortable leading teams while remaining technically involved and managing client relationships post-sale

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

Their technology is trusted by leading global clients across healthcare, financial services, and enterprise sectors, and they are now entering an exciting new phase of growth.

As Finance & Revenue Systems Lead, you’ll partner closely with the CFO to own the company’s finance and revenue systems. Your initial focus will be leading ERP selection, technical due diligence, and migration to a modern AI-native platform, building a scalable foundation across core systems.

From there, you’ll drive automation across finance (close, AP, treasury, reporting) while owning the end-to-end quote-to-cash lifecycle from CRM through to billing and collections. You’ll also support the build of a clean FP&A data layer and work with engineering to deploy AI-driven workflows — scaling the function through systems, not headcount.

Key attributes of the suitable Finance & Revenue Systems Lead include:

• Finance Systems & ERP Experience – Proven experience leading ERP implementations or migrations and owning finance systems architecture
• Revenue Systems Knowledge – Experience connecting CRM and billing systems, with a strong understanding of quote-to-cash processes
• Automation-First Mindset – Track record of improving workflows through automation, tooling, and scalable systems
• Technical Finance Background – 3–6 years in finance systems, RevOps, or technical finance operations, with a modern, AI-enabled approach

This is a specialist boutique pioneering the field of Data Economics — quantifying what data is actually worth and helping organisations treat it as the strategic asset it is. Their clients are some of the UK’s largest infrastructure, utilities, and transport organisations. The work shapes real decisions at board level.

They’re looking for a Solution Analyst to join their delivery team. This is an earlier-career role, but it’s not a junior role in the way most firms use that word. You’ll be on live client engagements from day one, supported by experienced practitioners, and expected to take real ownership of the work you’re given.

You’ll be part of a squad working on live engagements, handling the analytical engine of every project. That means preparing, cleaning, and structuring data; conducting research; building models and initial outputs; and contributing to client-ready documents and presentations.

Day to day, you can expect to:

• Prepare, clean, and structure data to support analysis and modelling work
• Conduct research and produce initial outputs, models, and materials
• Use the firm’s internal tools and accelerators to support delivery
• Contribute to client-ready documents and presentations
• Support more senior team members on day-to-day delivery tasks
• Begin to build client-facing skills through supervised interactions

You’ll be intellectually curious, organised, and someone who takes quality seriously. You check your own work. You ask good questions. You want to understand the problem, not just complete the task.

• Strong data handling and analytical skills — comfortable working with data in complex contexts
• Ability to produce clear, professional written documents and presentations
• Organised and structured approach to tasks, with the ability to work to a brief and meet deadlines
• A degree in a relevant discipline — quantitative, business, or analytical — or equivalent experience. We assess this contextually.
• Some exposure to data, analytics, financial modelling, or business change through study, placements, or early roles

The field is genuinely emerging. Data Economics is being defined right now. Joining early means growing with a discipline that is still taking shape — and being part of what it becomes.

The development is structured and real. You’ll be supported by experienced practitioners and given a clear path to grow across all four of the firm’s domains: Data Economics & Valuation, Data Asset Management, Business Change, and Actionable Intelligence.

The culture is built on trust. A small, high-calibre team where your work is visible and your contribution counts from the start.

The package is thoughtfully designed. Competitive salary, private health cover with enhanced mental health support, generous family policies, and access to professional financial advice.

Flexibility with purpose. Around 60% in-person collaboration in London; 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

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

Most organisations know their data has value. Very few can prove it.

They are a specialist boutique pioneering the field of Data Economics: the discipline of quantifying what data is actually worth, building the investment cases that unlock board-level decisions, and helping organisations treat data as the economic asset it is. It’s a niche that sits at the intersection of strategy consulting and financial modelling and it’s growing fast.

At around 40 people, the firm is award-winning, profitable, and at an inflection point. Their client list spans some of the UK’s largest infrastructure, utilities, and transport organisations. The CDO and CFO are typically in the room. The work shapes real decisions.

This hire is a significant one. They are looking for an Associate Director to own and scale their data valuation capability — someone who can lead engagements, develop client relationships, and help define what this practice looks like at the next stage of the firm’s growth. It’s the kind of role that doesn’t come up often.

You’ll be leading engagements where the central question is: what is this data worth, and what should we invest to improve it? That means working with clients to map where data drives financial outcomes, building the models that translate data quality into business value, and presenting findings in a way that moves a CFO or CDO to act.

No two engagements look the same — the sectors vary, the clients vary, and the problems are genuinely complex. But the thread running through all of it is rigour: commercial rigour, analytical rigour, and the ability to tell a clear story from complicated evidence.

Day to day, you can expect to:

• Own senior client relationships and act as a strategic advisor at C-suite and Director level
• Lead data valuation and data strategy engagements end-to-end, with accountability for quality and commercial outcomes
• Shape and evolve the firm’s methodology, propositions, and go-to-market approach
• Identify and convert new opportunities — this is a commercial as well as a delivery role
• Lead, coach and develop project teams, with real visibility into your impact

You’ll be a seasoned consulting professional — likely at Senior Manager or Associate Director level — with a track record of owning complex engagements and building senior client relationships independently.

Essential:

• 8–15 years in a consulting environment, with clear progression and genuine client ownership
• Experience leading end-to-end engagements with accountability for commercial outcomes
• Strong analytical and structured thinking — comfortable translating data or operational insight into financial terms
• Excellent communication skills; able to shape a narrative and hold a room at executive level
• Experience in one or more data-related domains: data strategy, governance, operating models, or value realisation
• Demonstrable business development capability — identifying, shaping, and closing opportunities

You may be coming from:

• A data strategy or analytics consultancy (PA Consulting, Baringa, Deloitte, EY, PwC, KPMG, Artefact, Dufrain)
• A strategy house with digital or data exposure (Oliver Wyman, Strategy&, Roland Berger)
• An in-house data strategy or transformation leadership role at a major organisation

• The timing is genuinely interesting. Data Economics is an emerging discipline and this firm is defining it. Joining now means shaping what the practice becomes — not inheriting someone else’s playbook.
• The conversations are at the right level. You’ll be presenting to CDOs and CFOs within weeks of joining. There’s no long queue to get to the senior table.
• The package reflects your market value. Compensation is benchmarked against senior consulting market rates — plus meaningful equity options and a potential exit horizon that a Big 4 or strategy house simply can’t offer.
• It’s a small firm that thinks big. Forty people, no layers of management, low politics. Your work is visible, your voice carries, and the founding team is still hands-on in the work.
• 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.

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 Data Scientist, 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 Data Scientist 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 frameworks
• Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale

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

You will work within a small, highly technical team responsible for developing and scaling computer vision-driven analytics, while collaborating closely with consulting teams that translate insights into strategic recommendations for clients.

What you’ll be working on

• Developing and improving computer vision models used to analyse sports broadcast footage
• Detecting and tracking brand exposure, sponsorship assets and on-screen visibility
• Working with large datasets and video/image pipelines to generate commercial insights
• Writing Python scripts and data workflows to support analysis and automation
• Extracting and managing data using SQL
• Supporting the transition from legacy analysis workflows to new automated CV-driven systems
• Contributing to insights that support sponsorship valuation and media analytics projects

Tech & tools

• Python
• SQL
• Computer vision / machine learning models
• Image and video analysis workflows

Initially this is a technical, hands-on data science role, focused on building and scaling computer vision analytics.

Over time, there is the opportunity to become more involved in client-facing consulting projects, helping translate technical outputs into commercial insights for stakeholders across the global sports industry.

What we’re looking for

• Experience with Python and SQL
• Exposure to computer vision or image/video analysis
• Strong analytical thinking and problem-solving ability
• Interest in applying data science to real-world commercial challenges
• A genuine interest in sport and the sports business industry

We are open to candidates at Analyst or Senior Analyst level, typically with 2–4 years of relevant experience in areas such as:

• Data science
• Machine learning
• Computer vision
• Analytics engineering
• Sports analytics
• Data consulting

This is a rare opportunity to apply cutting-edge computer vision technology to some of the most recognisable brands, leagues and sponsorship programmes in global sport.

📩 If you’d like to learn more, apply!