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.

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

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 team to match their momentum

You’ll lead strategic workstreams across go-to-market, channel, product, and customer strategy. Using analytical tools, you’ll turn CRM, web, and sales data into actionable insights – then present recommendations that drive results.

Working with clients and project leads, you’ll shape strategy, enhance proprietary tools, and help build lasting business growth.

Key attributes of the suitable Senior Associate include:

• 2–4 years’ experience in strategy consulting, commercial analytics, or PE-related roles
• Proficient in SQL and/or Python, with strong skills in data visualisation (Tableau ideal)
• Background in segmentation, marketing analytics, or go-to-market planning
• Thrive in ambiguity and complexity, with a knack for finding the “so what”

Created from humble beginnings and set up as a partnership almost 20 years ago, to becoming a customer-champion mobile service provider. They truly have become a huge player within the telecoms industry. Boasting the fact that they have over 5 million customers worldwide!

This will be a hands-on position where you will be responsible for building, validating, optimising, and managing models and data pipelines, working within a Data Science function alongside Data Analysts and Data Engineers.

You will work on a vast array of projects. These could include personalised communications for customers, improving stock and demand forecasting, marketing effectiveness, maximising customer lifetime value, and reducing customer churn.

Key attributes of the suitable Senior Data Scientist include:

• Problem-solving: Proven ability to reframe ambiguous business questions into a clear analytical approach and deliver end-to-end solutions
• Technical modelling: Experience building models on both static and time series data, including propensity and forecasting models
• Coding skills: Advanced SQL, Python and PySpark skills, built on solid software development principles
• Stakeholder management: Ability to work with both technical and non-technical stakeholders, with strong communication skills

Founded over 50 years ago, they have become one of the most recognisable brands on the planet. With over 150 stores worldwide and a turnover of more than £5bn a year, they have become one of the leading companies within the luxury retail space.

This is a fantastic opportunity to join the EMEA Customer Insights team at the heart of one of the world’s most iconic luxury brands, playing a critical role in driving customer-centric focus and strategic business growth.

Working under the Senior Manager, you will lead BAU reporting and proactive analysis of customer performance across all direct-to-consumer channels. You’ll act as a Customer Insights leader within the team and with external partners, with genuine scope to shape processes, influence senior stakeholders, and support the development of the wider team.

Key attributes of the suitable Customer Analytics Manager include:

• Experience: Degree in a numerate subject, with 6+ years’ experience in Customer Insights within Marketing and CRM, ideally within luxury/retail
• Stakeholder Influence: Proven ability to influence and present to senior stakeholders, turning complex analysis into clear, actionable recommendations
• Leadership: Strong leadership and coaching skills, with experience managing and developing a team
• Technical Skills: Skilled across Excel, SQL, and Tableau, with an interest in automation and emerging AI tools (e.g., Copilot)

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 team to match their momentum

You’ll lead strategic workstreams across go-to-market, channel, product, and customer strategy. Using analytical tools, you’ll turn CRM, web, and sales data into actionable insights – then present recommendations that drive results.

Working with clients and project leads, you’ll shape strategy, enhance proprietary tools, and help build lasting business growth.

Key attributes of a suitable Analytics Consultant include:

• 2–4 years’ experience in strategy consulting, commercial analytics, or PE-related roles
• Proficient in SQL and/or Python, with strong skills in data visualisation (Tableau ideal)
• Background in segmentation, marketing analytics, or go-to-market planning
• Thrive in ambiguity and complexity, with a knack for finding the “so what”

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