A leading UK Property-Tech business providing digital valuation, property risk decisioning, and data services to financial institutions and property professionals.

Their platforms support major mortgage lenders as well as property developers and investors, helping organisations make better lending and property decisions through high-quality data, technology, and analytics.

You’ll play a key role within the analytics function, leading complex analytical projects and delivering high-impact insight to support both product development and client decision-making.

Working closely with product, engineering, and commercial teams, you’ll analyse large and complex datasets to identify trends, evaluate performance, and generate insights that support strategic decisions across the business.

You’ll also contribute to the development and improvement of analytical products and methodologies, ensuring outputs are robust, scalable, and aligned with both client needs and business objectives.

Key attributes of the suitable Principal Analyst include:

• Strong technical skills across SQL and Python (Spark or similar tools beneficial), with the ability to conduct complex analysis on large datasets
• Experience performing analytical deep-dives and back-testing risk metrics to support product development and performance monitoring
• Confident in stakeholder engagement and communicating complex analytical findings to both technical and commercial audiences
• Ideally, a background in one of mortgage lending, property analytics, consultancy, or a data provider supporting financial services

This isn’t a tracker-management role.

It’s a strategic diagnosis role.

If you’re an Insight Manager who connects brand perception, pricing, competitor behaviour and commercial performance — and turns that into decisions — this will be of interest.

You’ll sit within a Strategy & Innovation environment, partnering across Marketing, Commercial Finance and Operations.

The remit includes:

• Diagnosing performance issues — not just reporting them
• Connecting brand tracking, market share and pricing data into a clear narrative
• Leading ad hoc qual & quant research end-to-end
• Building compelling outputs that influence action
• Challenging thinking when the data tells a different story

You’ll contribute to major planning cycles and help raise the bar for how insight drives growth across the business.

I’m looking for:

• 5+ years in insight, analytics or market strategy within a consumer-facing environment
• Strong experience with brand health tracking (e.g. YouGov, Savanta or similar)
• Comfort working across market, pricing and competitor data (e.g. Circana or equivalent)
• Proven experience influencing cross-functional stakeholders
• A commercial mindset — you understand how perception links to performance

This role will suit someone who wants to operate as a true commercial partner — not just an insight provider.

A leading UK Property Tech business connecting consumers and industry professionals through innovative digital platforms. Backed by strong investment, they are shaping a more connected and transparent property market.

You’ll play a key leadership role within Analytics, supporting the Head of Analytics while overseeing the delivery of high-impact insight and analytics solutions across financial services and property data.

Working closely with key customers, commercial teams, and product stakeholders, you’ll translate complex challenges into actionable insights, help drive innovation, and identify new opportunities to deliver value through data.

Key attributes of the suitable Analytics Manager include:

• Some experience in management consulting and/or financial services analytics or decision science
• Strong technical skills across Excel and SQL (Python ideal), with proven analytical problem-solving
• Confident in client engagement, data storytelling, and presenting insights clearly
• Demonstrated team leadership experience, managing and developing analysts
• Ideally, exposure to property, mortgages, or housing market data (preferably)

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.

You’ll be trusted to build relationships your way, shape your pipeline, and see the direct impact of your work on the company’s growth. You’ll be helping brands and creative teams make smarter decisions, faster, using a product that delivers genuinely actionable insight. You’ll join at a pivotal moment: the business has grown fast, demand is high, and this hire unlocks the next phase of growth. There’s momentum, ambition, and plenty of room to make your mark.

Our client is a fast-growing tech business helping brands and creative agencies test creative work – from TV ads to rebrands and product launches – with real people in hours, not weeks. They combine qualitative and quantitative feedback with AI to turn raw consumer responses into clear recommendations that creatives can act on immediately. Clients include globally recognised brands and top-tier design agencies.

The team has scaled rapidly while staying intentionally lean. It’s a self-driven, high-trust environment where smart people are encouraged to think beyond their job title.

• Driving new business (around 60% of your time) through cold outreach, LinkedIn, email and networking

• Running discovery calls, demos and pilots end to end

• Growing existing accounts through thoughtful upsell and expansion (40%)

• Working closely with Customer Success on account strategy

• Owning your pipeline, targets and approach – outcomes matter more than rigid process

You’ll be based in London, with hybrid working (2–3 days in the office).

This role is likely to excite you if you:

• Have 3+ years’ experience in sales, business development or account growth

• Understand agency, insight or research environments

• Enjoy autonomy and problem-solving in a start-up setting

• Are confident opening doors and closing deals

• Care about selling something meaningful, not just hitting numbers

With over a decade of industry presence, this brand has grown to hundreds of locations across the UK and supports a community of close to one million members. They’ve built a strong reputation for combining commercial ambition with a genuinely people-first culture, with CRM playing a central role in how members are engaged and retained.

This is a senior role that blends strategic ownership with hands-on leadership. You’ll own the end-to-end CRM strategy across lifecycle, retention, service, and commercial communications, while staying close to execution and delivery.

You’ll lead and develop a high-performing CRM team, take ownership of platform capability and governance, and partner closely with Product, Data, Analytics, and Commercial teams to deliver a joined-up, member-first experience that drives long-term commercial value.

Key attributes of the suitable Head of CRM include:

• Strategic owner who stays close to delivery – You’re comfortable setting the long-term CRM vision, but you also enjoy being hands-on when it matters — guiding execution, unblocking issues, and ensuring high standards across day-to-day delivery.
• Commercially minded CRM leader – You understand how CRM drives revenue, retention and lifetime value, and you’re confident partnering with senior stakeholders to turn customer insight into measurable commercial impact.
• People-first leader with strong operational grip – You know how to build, mentor and motivate high-performing teams, while also owning platform stability, governance and best practice in a fast-paced, consumer-focused environment.

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.

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

With over a decade of industry presence, this brand has expanded to more than 250 locations across the UK and proudly supports a community of over 500,000 members. They’ve built a reputation not just for their size and scale, but for a people-first culture and strong core values that are truly embedded across the business.

This is an exciting opportunity for a commercially minded Data Scientist to take ownership of end-to-end modelling and ML pipeline development within a fast-paced, consumer-focused organisation.

You’ll lead impactful work across the full lifecycle — from exploration and predictive modelling to deployment and automation — using modern cloud tooling to shape smarter pricing, retention, and customer insight. Alongside hands-on modelling, you’ll help strengthen MLOps practices and contribute to emerging AI initiatives, working closely with engineering and analytics teams to deliver scalable, high-value solutions.

Key attributes of the suitable Data Scientist include:

• Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models.
• Exposure to MLOps or ML engineering practices, including pipelines, CI/CD, model monitoring, and working with tools like Azure ML or Fabric.
• Commercially minded communicator who can translate data into clear, actionable insight and work collaboratively with technical and non-technical stakeholders.

Because impact here isn’t theoretical – it’s lived. You’ll design experiments, run studies and translate insights into action that gets rolled out on the ground. This is work with purpose, backed by a team that genuinely values curiosity, rigour and innovation.

The role comes with a generous package too:

✨ £52–62k salary

✨ 40 days’ annual leave

✨ Private medical & dental

✨ 8% employer pension

✨ Learning and wellbeing allowance

✨ Cutting-edge AI tools to elevate your research workflow

✨ Hybrid working in London or Edinburgh (2–3 days in office)

Our client is a non-profit accelerator committed to improving early childhood outcomes. They combine data science, mixed-methods research and entrepreneurial thinking to design, test and scale evidence-based interventions.

They’re not a standard foundation. They roll up their sleeves:

➡️ identifying a challenge

➡️ researching it deeply

➡️ designing and trialling interventions

➡️ implementing solutions in real-world settings

Their mission is simple but bold: give every child the conditions to flourish.

No two weeks look the same, but you will:

• Lead mixed-methods research across quant, qual and secondary analysis.

• Design field experiments, online experiments and surveys.

• Work closely with data scientists to turn complex evidence into actionable programme insights.

• Shape organisational strategy and strengthen intervention design.

• Communicate findings through clear, compelling storytelling.

• Support and mentor junior researchers.

• Represent the organisation at events and conferences.

Your work will directly influence programmes that are tested and deployed across the UK.

You’ll thrive here if you:

• Bring 5+ years of applied research experience and strong mixed-methods confidence.

• Have experience designing trials, experiments or large-scale surveys.

• Can translate evidence into practical, impactful recommendations.

• Care deeply about early childhood, prevention, social policy or related fields.