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 AI Engineering 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 (highly 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.

Be honest. Most of your work probably sat in a folder after the final debrief. That’s not a knock on the work, it’s just how consulting usually goes: you deliver, you leave, and the client’s left to figure out the “now what.”

This role exists to fix that gap.

Our client is a fast-growing strategy and insight consultancy, working with some of the world’s biggest brands. They’re deliberately building something rare in this industry: a function whose whole job is making sure the strategic thinking actually lands, not just gets delivered.

You’ll own a brand new function, sitting underneath everything else the business does.

That means:

• Diagnosing where a client’s organisation is stuck, and deciding what to embed first
• Turning strategy and frameworks into tools, dashboards, workshops and coaching people genuinely use
• Building content (films, training, workshops) that makes the work stick, not just documents it
• Working the whole client org, from the leadership team down to the people using the tools daily
• Shaping what “capability” even means for a consultancy in an AI-driven world

You’ve probably worked both sides of this: consultancy or innovation agency, and client-side too. You’ve felt the frustration of handing over great strategic work and watching it stall. You’ve got real opinions on why that happens, and what actually gets people to change how they work.

You might come from a client-side capability or insight team, or from an innovation consultancy. What matters more than the CV line is this: have you actually driven transformation, or just delivered training? If it’s the latter, this probably isn’t your role.

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.

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.