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.

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 Data Science Manager 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 practice, 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.

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.

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

Operating internationally, the company provides research and insights services that help businesses make better data-driven decisions.

They specialise in market intelligence, competitor analysis, and sector-specific research across industries such as Finance, Asset Management, Private Equity, Tech, Management Consulting & Luxury Retail.

This high-impact role combines strategic client advisory, advanced quantitative research, and team leadership across multiple sectors. If you’re driven by data, insight, and commercial outcomes – and want to shape strategies that matter – this is your chance to step into a pivotal leadership position with global reach

Key attributes of the successful Research Director include:

• Deep expertise in quantitative research methods – Conjoint, Max Diff, Segmentations, Regression, Key-Driver, etc., with a track record of selling this project to clients
• Strong commercial mindset with a history of hitting revenue targets, or a willingness to have revenue targets
• Proven leadership within a market research/analytics setting, with experience working across multiple sectors (ideally Financial Services or Tech)
• Experience of working with B2B Clients, or exposure to working on some B2B projects (nice to have)

The organisation partners with governments and international institutions on complex global challenges — including democratic resilience, counter-disinformation, and behaviour change in sensitive information environments.

This is a senior leadership role sitting at the centre of the organisation. The CSO will lead and integrate strategy, research, digital and creative capabilities, ensuring the organisation continues to deliver rigorous, high-impact work for public sector partners while driving innovation in how behavioural science, communications and technology are applied.

• Leading multidisciplinary teams across strategy, research, digital and creative functions

• Ensuring quality and rigour across high-profile government programmes and strategic deliverables

• Leading the strategic component of major bids and proposals for public sector clients

• Driving innovation in behavioural change methodologies and campaign strategy

• Helping scale the organisation’s technology-enabled approach to strategy and influence

• Have senior experience in behaviour change, strategic communications, or complex policy environments

• Have worked with government or international institutions

• Are comfortable leading multidisciplinary teams across strategy, research and creative functions

• Have experience contributing to or leading major public sector bids or proposals

• Have a strong interest in international affairs, geopolitics or national security issues

This role would suit someone who enjoys tackling complex, systems-level challenges and wants to apply strategy, research and innovation to real-world global issues.

A leading UK Property-Tech business providing digital valuation, property risk decisioning, and data services to financial institutions and property professionals.

Their platforms support major mortgage lenders as well as property developers and investors, helping organisations make better lending and property decisions through high-quality data, technology, and analytics.

You’ll play a key role within the analytics function, leading complex analytical projects and delivering high-impact insight to support both product development and client decision-making.

Working closely with product, engineering, and commercial teams, you’ll analyse large and complex datasets to identify trends, evaluate performance, and generate insights that support strategic decisions across the business.

You’ll also contribute to the development and improvement of analytical products and methodologies, ensuring outputs are robust, scalable, and aligned with both client needs and business objectives.

Key attributes of the suitable Principal Analyst include:

• Strong technical skills across SQL and Python (Spark or similar tools beneficial), with the ability to conduct complex analysis on large datasets
• Experience performing analytical deep-dives and back-testing risk metrics to support product development and performance monitoring
• Confident in stakeholder engagement and communicating complex analytical findings to both technical and commercial audiences
• Ideally, a background in one of mortgage lending, property analytics, consultancy, or a data provider supporting financial services

This role combines sector strategy, commercial accountability and research leadership. It’s an opportunity for an experienced FS research leader ready to step into broader vertical ownership — with real influence over growth, positioning and team direction.

The Opportunity

Financial Services is a priority sector with strong existing foundations across brand tracking, ad hoc research and tech-enabled solutions. The business is evolving towards a more tech-first, insight-driven model, creating genuine scope to redefine and scale the FS proposition.

You will:

• Shape and execute the UK FS growth strategy (with EMEA ambition)

• Take ownership of a significant revenue target

• Lead and develop senior Research Directors and team members

• Drive growth across tracking, ad hoc and product-led solutions

• Build and deepen C-suite relationships across banking, insurance and wealth

• Collaborate internationally to strengthen the global FS offer

• Play a visible role in thought leadership and sector profile

• Senior-level experience in Financial Services research

• Strong quant background (tracking + ad hoc) ideally B2B

• Commercially minded, with experience contributing to or owning revenue

• Comfortable leading senior clients and high-performing teams

• Interested in shaping sector strategy, not just delivering projects

• Open to innovation and tech-enabled insight approaches

This is not purely a delivery role. It’s designed for someone ready to take a more strategic, commercially accountable leadership position within Financial Services research.

If you’d like to explore confidentially, please message me directly.

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