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.