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”

– Design and deliver quantitative research — surveys and analysis that shape client strategy — for clients at the frontier of technology and beyond

– Turn research findings into clear, actionable recommendations for senior client stakeholders

– BUILD and Use AI tools to speed up and sharpen analysis, and build on that experience to contribute to the team’s internal AI products (including podcast and newsletter tools)

– Review and sense-check AI-generated (“vibe-coded”) outputs with a critical, analytical eye

– Flex into wider comms, policy or research work as needed

**Recent examples of the kind of work you’d be doing:**

– Helping a research organisation understand what drives its reputation in AI search

– Helping a large tech company navigate a strategic governance decision

– Mapping the media conversation around a tech client’s highest-priority issue

– Helping an investor understand its positioning in the market

– Strong quantitative research experience — comfortable with survey design, data analysis and turning findings into strategic recommendations

– A decent working understanding of communications and policy, so you can operate credibly with clients and colleagues

– Comfortable writing code and reviewing others’ code (R, SPSS or Python backgrounds all welcome) — not a software engineer, but genuine coding literacy is expected

– Corporate research agency experience is a plus but not essential — we’re equally open to backgrounds in management consulting or in-house corporate insight teams

– Genuine curiosity about AI tools, and the judgement to use them critically rather than blindly

– Employee ownership — everyone shares in the firm’s success

– A twice-yearly bonus based on company and individual performance

– Private healthcare and dedicated mental health support

– 26 days’ holiday plus public holidays

– Visa sponsorship available for the right candidate

– Hybrid working, three days a week in the London office

We know profiles like this rarely tick every box on paper. If you’re excited by the role and meet most of what’s above, we’d love to hear from you — get in touch confidentially to find out more, including the client’s identity and full compensation details.

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

This is a rare shot at real ownership. You won’t be managing a queue of requests. You’ll be setting the insights agenda for two of the most ambitious categories inside a global fashion business, and the business is genuinely ready to listen.

Our client is a global premium lifestyle brand with a well-regarded, lean CMI function that punches well above its size. They’re mid-transformation, building segmentation and path-to-purchase foundations from the ground up, and looking for someone to help shape what comes next.

You’ll own insight strategy for two global fast-growing categories, working closely with brand, marketing and merchandising teams, and regional CMOs, without a regional CMI team to lean on. Expect to get properly hands-on: briefing agencies, reworking data tables, running your own analysis, and turning all of it into sharp, senior-ready stories. You’ll influence brand positioning and campaign thinking, not just report on it.

You’re commercially minded, hungry, and genuinely energised by a lean, fast-moving environment. You don’t wait to be asked. You spot the gap and go after it. You’re just as comfortable in a data table as you are in a room full of senior stakeholders, and you know how to translate one into the other. Background matters less than mindset here: what counts is curiosity, pace, and the confidence to push back when it’s needed.

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.