Our client is a globally recognised premium fashion retailer with a powerful international footprint across stores, concessions and omnichannel.

They are embarking on a major Next Generation Transformation programme, implementing SAP across global markets to modernise and standardise retail operations.

This role sits within the DTC workstream, representing retail stores at the centre of that change.

You’ll act as the functional product owner for retail within SAP.

That means:

• Designing and standardising global store processes
• Translating retail operations into system logic
• Partnering with Finance, Logistics, Wholesale and IT
• Leading cross-regional collaboration (NA, EMEA, APAC)
• Driving UAT, readiness and adoption across markets

You’ll balance strategic process thinking with hands-on problem solving.

You’ll have:

• 7+ years in strategic retail operations
• Experience in international DTC fashion or premium retail
• Been part of an ERP implementation (SAP preferred)
• Deep understanding of omnichannel store processes
• Strong stakeholder influence skills

You’re structured, analytical, commercially aware… and you care about how stores really work.

Founded over 50 years ago, they have become one of the most recognisable brands on the planet. Boasting the fact, they own over 150 stores worldwide and a turnover of more than £5bn year after year. They have become one of the biggest names within the luxury retail space.

Leading customer analysis and insights for the e-commerce channel. You will execute customer performance deep-dive analysis to address key business questions and challenges. Producing actionable insights and presenting these findings to key stakeholders across the business

Key attributes of the suitable Customer Insights Analyst include:

• Experience: 1+ years in Customer Insights within Marketing and CRM.
• Technical Skills: Proficiency with tools like SQL, Excel, etc. 
• Communication Skills: Ability to turn complex analysis into actionable insights.

Join a globally recognised luxury retail brand, owning ecommerce customer analytics and delivering insight across digital channels, using SQL. 

This is a chance to sit at the centre of a globally recognised premium fashion and retail business to influence how millions of customers experience the brand across digital and physical touchpoints.
Joining the EMEA Customer Insights team in London, you will own ecommerce customer insight and play a key role in shaping data-led decisions across all direct-to-consumer channels. This is a high-impact role with strong visibility, partnering closely with ecommerce, marketing and media teams to turn data into direction.

• Leading ecommerce customer analysis and insight storytelling
• Using SQL, and multiple data sources to build a clear view of customer performance across DTC
• Acting as the go-to expert for ecommerce customer analytics
• Delivering automated and ad-hoc reporting across ecommerce, retail and outlet
• Translating complex data into concise, actionable recommendations for senior stakeholders

• 1-3 years experience in Customer Insight
• Strong experience in customer insights within marketing or CRM environments
• Confident SQL capability and experience with data visualisation tools such as Tableau
• Experience with DTC or e-commerce channel reporting
• Advanced Excel and PowerPoint skills
• Background in luxury, retail or consumer goods
• Clear communicator with the ability to influence through insight

This role suits someone who enjoys owning their space, working at pace and using customer insight to drive meaningful commercial impact across a global brand.

Unfortunately, this role cannot offer sponsorship at this time.

Health and fitness is about behaviour change — and that makes it a fascinating data challenge.

You’ll work with rich customer, operational, and commercial data to:

• Understand how people join, engage, and stay active
• Optimise pricing, retention, and member experiences
• Build predictive models that genuinely influence business strategy

You’ll sit within a well-established Data & Insight team, working alongside Data Engineers, Analysts, and stakeholders across the organisation.

Data Science & Modelling

• Analyse customer and behavioural data across acquisition, retention, engagement, and pricing
• Build, validate, and optimise predictive models using robust statistical and ML techniques
• Carry out exploratory analysis to uncover patterns, test hypotheses, and quantify business impact
• Communicate insights clearly to both technical and non-technical audiences

ML Engineering & Production

• Deploy ML models into production within a modern cloud-based environment
• Build automated pipelines and CI/CD workflows to support training, testing, and deployment
• Monitor model performance, data drift, and reliability — keeping predictions accurate over time
• Work closely with Data Engineering to ensure high-quality, governed, model-ready data

Applied AI (Optional but encouraged)

• Explore how modern AI tools can enhance member experiences and internal processes
• Prototype AI-driven ideas through proofs of concept and lightweight demos
• Help shape responsible and practical AI adoption across the business

You’ll bring

• Strong Python (and/or PySpark) skills for analysis, modelling, and feature engineering
• Solid SQL experience
• A track record of delivering end-to-end predictive modelling projects
• Experience deploying and monitoring ML models in a cloud environment
• The ability to translate complex technical work into clear, commercial insight

• Exposure to MLOps or modern ML engineering practices
• Experience with AI prototyping or experimentation
• Cloud ecosystem experience (particularly Azure-based platforms)
• Interest in customer behaviour, subscriptions, or consumer products

• The chance to work on data products used by millions of members
• A role where your models move beyond notebooks into production
• Space to experiment, innovate, and explore emerging AI capabilities
• A collaborative, inclusive team culture that values impact over ego