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.

Our client is an early-stage B2B SaaS company operating at the intersection of AI and enterprise finance. Backed by well-known institutional investors and founded by strong technical alumni, they recently closed a significant Series A and are scaling their team to meet growing customer demand.

You’ll own the technical foundation of every customer deployment – from integration scoping and data validation through go-live and long-term production support. Working directly with enterprise finance teams, you’ll embed with customers, configure the platform around their banking data and ERP systems, and translate complex business problems into concrete engineering work.

This isn’t a pre-sales or solutions engineering role – it’s hands-on, post-sale technical ownership with real product influence.

Key attributes of a suitable Forward Deployed Engineer include:

• Production-Grade Engineering Background – 3-5 years as an FDE or customer-facing SWE, with a track record of shipping code to external customers and owning deployments end-to-end.
• Technical Depth Meets Client Fluency – Proficient in TypeScript and/or Python, comfortable with data integrations and ERP systems, and able to communicate complex technical concepts clearly to non-technical enterprise stakeholders.
• Early-Stage Mindset – You’ve worked at a high-growth startup or made the leap from Big Tech and want real ownership. Fintech or financial services experience is a strong plus.

This is a hands-on, technically demanding role. The core of the job is a large-scale, pan-European demographic data exercise, run twice a year, tracking gender representation across investment roles at a substantial number of member firms across multiple European markets. You will:

• Own data collection end-to-end, including web scraping of LinkedIn and other publicly available sources using Python (or equivalent)
• Build and maintain reproducible data pipelines that ensure consistency and quality across research cycles
• Merge, clean and manipulate complex, multi-source datasets to produce reliable, longitudinal outputs
• Develop and maintain Excel-based benchmarking tools used directly by member firms
• Project manage research delivery, coordinating with international committees, trade associations, and academic partners
• Produce analysis and contribute to report writing, working with an external agency on final production
• Support the wider team with data requests and presentations across the programme of work
• Identify opportunities to improve research efficiency through automation, standardisation, and AI tools

Essential:

• Proficiency in Python (or equivalent) for web scraping, data cleaning, analysis and automation — professional-grade experience, not just coursework
• A track record of building reproducible, systematic data pipelines — not just ad hoc scripts
• Strong data merging and manipulation skills across large, complex datasets from multiple sources
• Advanced Excel — complex data tables, quality assurance processes, and stakeholder-facing analytical outputs
• A genuine quality-control mindset and rigorous attention to detail with data
• End-to-end project management experience on complex, multi-stakeholder data or research projects
• Confident communicator, able to engage professionally with senior stakeholders, academic partners, and international committees
• Ability to work independently and take ownership without a technical line manager
• Genuine interest in gender diversity, DE&I, or social impact — this matters to my client

Desirable:

• Experience with data visualisation tools such as Power BI or Tableau
• Exposure to AI or automation tools applied to data or research workflows
• Background in or knowledge of alternative asset management or financial services
• Experience with pan-European data collection or GDPR compliance in a data context

• Real impact — the data you produce informs policy conversations, is used by member firms to benchmark themselves, and directly influences how the industry thinks about gender diversity
• Unique work — my client is one of a very small number of organisations collecting gender representation data at this level of granularity across European markets
• Intellectual variety — beyond the flagship annual report, you will contribute to international research projects and academic collaborations
• Technical autonomy — you will own the technical stack and have the freedom to improve and evolve how the team works
• A high-calibre team and network — collaborating with partners at leading academic institutions and major investment firms across Europe
• Permanent role with strong benefits including generous holiday, Christmas closure, and pension contribution
• Hybrid working from a central London office, with genuine flexibility

Location: Central London — 3 days in office per week, with flexibility

Contract: Permanent, full-time

Salary: Competitive, dependent on experience

Start date: As soon as possible — my client is looking to move quickly

Notice period: My client needs someone available by early August. Please only apply if you are on 4 weeks’ notice or less.

Nicholson Glover is a specialist recruitment consultancy founded in 2002. We focus exclusively on four disciplines: Customer Research & Insight, Strategy & Innovation, Data, Analytics & AI, and Product & Technology — placing mid-to-senior professionals with agencies, consultancies, corporate teams, and venture-backed businesses. Speak to us: francis@nicholsonglover.co.uk

• Own and maintain the CRM — pipeline hygiene, opportunity tracking, accurate stage progression, and data quality across all active and target accounts
• Build pipeline forecasting models and produce regular commercial performance reporting for senior leadership
• Track proposal win/loss ratios and help identify patterns that improve pursuit decisions
• Support the BD function with briefing packs, intelligence summaries, pursuit documentation, and proposal inputs
• Build the infrastructure to track how thought leadership, events, and outreach convert into qualified pipeline
• Identify cross-selling and account growth opportunities by analysing existing client data across service lines
• Design and own the process handoff between the commercial function and the delivery team when new work is won
• Manage CRM adoption and discipline across senior stakeholders — including partners and directors who are client-facing and time-pressured

You have worked in a BD operations, commercial operations, or revenue operations capacity — and crucially, you understand the difference between professional services selling and SaaS. You know that in a consulting environment, relationships drive pipeline, partners resist rigid processes, and a won deal is the beginning of the engagement rather than the end of the journey.

You will bring:

• CRM ownership experience — ideally Salesforce or HubSpot — and a track record of improving pipeline discipline in an environment where not everyone wants to use it
• Strong analytical skills — you can build a forecast model, track a win/loss ratio, and turn pipeline data into a useful story for leadership
• Clear written communication — briefing packs, proposal inputs, and executive summaries to a high standard
• An understanding of how professional services firms sell — project lifecycles, fixed fees, partnership structures, and long-cycle relationship-based buying
• The interpersonal skills to influence senior, busy stakeholders without authority

• A genuinely greenfield opportunity — you will build this function, not inherit it
• Direct exposure to the CEO and CGO from day one
• Clear development path as the commercial function scales
• Hybrid working — approximately 3 days per week in London SE1
• Private health, enhanced mental health support, and generous family policies

Nicholson Glover is a specialist recruitment consultancy founded in 2002. We focus exclusively on four disciplines: Customer Research & Insight, Strategy & Innovation, Data, Analytics & AI, and Product & Technology — placing mid-to-senior professionals with agencies, consultancies, corporate teams, and venture-backed businesses.

• Own the outbound BD activity across priority sectors
• Run the events and thought leadership calendar end-to-end
• Qualify and develop opportunities alongside senior leadership
• Keep the pipeline tight — CRM, reporting, proposition development

You’ve come through a management consulting environment — Big 4, or a firm like Baringa or PA Consulting — and you’re ready to move to the commercial side. You understand how consultancies win work and how senior buyers in complex organisations make decisions.

You’ll bring at least 4 years in BD or commercial development, strong written communication, and the gravitas to hold your own at C-suite level.

• Direct access to CEO and CGO from day one
• Clear path to Senior Manager and Director
• Private health, enhanced mental health support, generous family policies
• ~50% in-person | London SE1

Nicholson Glover is a specialist recruitment consultancy founded in 2002. We focus exclusively on four disciplines: Customer Research & Insight, Strategy & Innovation, Data, Analytics & AI, and Product & Technology — placing mid-to-senior professionals with agencies, consultancies, corporate teams, and venture-backed businesses.

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, collaborative team to match their momentum.

You’ll be a key member of project teams, working alongside experienced Project Leaders and senior consultants across a wide range of client engagements. Using data and primary research, you’ll surface trends and opportunities and help shape the recommendations that drive real business growth – with meaningful client exposure from day one.

You don’t need to tick every box – curiosity, drive, and structured thinking matter most here. Key attributes of the suitable Associate (Analytics) include:

• Recent graduate with a strong academic background from a top-tier university
• Naturally analytical, with a genuine enjoyment of working with data to find the “so what.”
• A commercial mindset with a genuine interest in business growth and customer strategy
• Proactive and self-directed — you’ll have real responsibility from day one

This is a rare early-career opportunity to work closely with a senior team in a high-growth environment, with meaningful client exposure and accelerated development from the outset. You’ll be joining at a pivotal moment in the firm’s growth — contributing not just to client projects, but to shaping the culture and direction of the business itself.

They are one of the biggest companies in Europe, working 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 lead end-to-end analytics projects across key business areas including TV, streaming, connectivity and VIP, helping shape data-driven decisions that support consumer strategy and commercial priorities.

You will translate complex analytical outputs into compelling, commercially relevant stories, partnering closely with stakeholders from problem definition through to delivery.

The Candidate

Key attributes of a suitable Analytics Manager include:

• Proven experience using analytics to influence commercial or strategic decisions, with a strong track record of communicating insight clearly to senior stakeholders.
• Advanced SQL skills with hands-on experience querying large-scale customer, transactional or behavioural datasets to deliver high-impact analysis independently.
• Experience applying advanced analytical techniques and a curiosity to continue developing your toolkit, with exposure to programming languages such as Python or R being an advantage.

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.