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⭐ Product Data Scientist – Up to £65k + Benefits | London (Hybrid)

Join a fast-growing, community-driven marketplace on a mission to make fashion circular. We’re looking for a Product Data Scientist who can turn complex data into actionable product insights, drive experimentation, and influence strategy across a major consumer platform.

What you’ll do

• Own analytics for a core product area

• Shape product & commercial strategy with data-led insights

• Design, run, and evaluate A/B tests end-to-end (3-5 per quarter)

• Partner with Product, Engineering & ML teams

• Help build self-serve analytical capabilities

What you’ll bring

• Strong SQL (day-to-day level)

• Python exposure (nice to have)

• Experience with BI tools (Looker/PowerBI/Tableau)

• Comfort working with ETL workflows

• Strong communicator with commercial awareness

• Confident presenting to non-technical stakeholders

Why apply?

• Up to £65k base

• 1 day a week in a central London office

• Exceptional benefits

If you’re driven by experimentation, impact and product thinking, this is a brilliant next step.

Find out more and apply via the link below.

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Machine Learning Engineer (Mid-Level) – Remote

Gaming Start-Up | Full-Time | Anywhere

Are you excited by the intersection of AI and gaming? Do you want to help shape the future of interactive entertainment at a fast-moving start-up? We’re looking for a Mid-Level Machine Learning Engineer to join our fully remote team and help us build intelligent, player-centric systems that power the next generation of gaming experiences.

About Them

They are an ambitious gaming start-up building innovative, data-driven gameplay systems. Our mission is to create games that feel alive-powered by adaptive AI, real-time insights, and scalable cloud technologies. As a small and collaborative team, every voice matters and every engineer has a direct impact on the product.

What You’ll Do

As a Machine Learning Engineer, you will:

• Design, build, and deploy ML models for gameplay, personalization, prediction, and player behavior analysis
• Collaborate with game designers, backend engineers, and data teams to integrate ML into live game systems
• Develop scalable ML pipelines using Google Cloud Platform (GCP) services (Vertex AI, BigQuery, Cloud Run, etc.)
• Work with real-time and batch data to support analytics and in-game decision systems
• Maintain and improve MLOps workflows for training, evaluation, deployment, and monitoring
• Contribute to a culture of experimentation, rapid iteration, and creative problem-solving

️ What They’re Looking For

Required:

• 2-4+ years of experience in Machine Learning or Data Science engineering roles
• Strong programming skills in Python
• Hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Cloud Storage, etc.)
• Experience building and deploying ML models in production
• Familiarity with modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Understanding of data processing, pipelines, and MLOps best practices
• Ability to work independently in a remote environment and collaborate asynchronously

Nice to Have:

• Experience working in gaming or interactive media
• Knowledge of reinforcement learning, player modeling, or recommendation systems
• Experience with real-time systems or streaming data (e.g., Pub/Sub, Kafka)
• Passion for games and gameplay design#

Why You’ll Love Working With them

• Fully remote team – work from anywhere
• A chance to be an early team member in a rapidly growing gaming start-up
• High ownership, high impact, and opportunities to shape the direction of ML in our products
• Flexible hours, supportive culture, and a team that values creativity and innovation
• Competitive salary + equity package

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DATA GOVERNANCE MANAGER

UP TO £55,000 + BENEFITS

HYBRID – West Midlands

If you’re a hands-on Data Governance professional looking to build out a function from the ground up in a collaborative, regulated environment – this could be your next big step.

THE COMPANY:

I’m working with a growing financial services business that’s investing heavily in its data function. With a lean structure, a clear mandate, and strong backing, they’re rebuilding their Data Governance capability – and looking for someone to lead from the front.

You’ll join a business where everyone pitches in, leadership is accessible, and your voice will genuinely shape the way data is managed and protected.

THE ROLE:

As Data Governance Manager, you’ll be the key figure in adapting, embedding, and owning governance frameworks across the business. You’ll support privacy workflows, drive best practices, and work closely with teams across customer, operations, and data science to get things done.

Key responsibilities include:

• Lead and evolve data governance processes and frameworks
• Support privacy management and internal assessment reviews
• Perform gap analysis and implement actionable improvements
• Build relationships with cross-functional stakeholders and project teams

YOUR SKILLS AND EXPERIENCE:

A successful Data Governance Manager will bring:

• Experience within financial services or a heavily regulated industry
• Strong understanding of governance, data privacy, and risk frameworks
• Confident communicator with the ability to build stakeholder trust
• Previous line management or mentoring experience

Bonus points for:

• SQL or technical literacy to support data discussions
• Experience with enterprise data governance/privacy tools
• Excel, PowerPoint, and data visualisation exposure

THE BENEFITS:

You’ll receive a salary of up to £55,000 depending on experience, plus a competitive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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CRM Lead (HubSpot) – London / Hybrid

A high-growth B2B blockchain analytics company is scaling its commercial engine and building out a next-generation GTM engineering function. As part of this, we’re looking for a hands-on Lead GTM Systems/CRM specialist to own, optimise, and innovate across our commercial tech stack, with HubSpot at the core.

This is an individual-contributor role with massive scope: you’ll be the technical and operational backbone for our go-to-market teams as the business doubles its sales organisation and invests heavily into scalable revenue operations.

What you’ll do

• Act as the HubSpot expert-admin, architecture, optimisation, and advanced workflow build.

• Improve and scale lead flow, routing logic, data quality, and commercial processes as volumes increase.

• Build a robust GTM tech stack, integrating HubSpot with internal tools and external platforms.

• Partner with engineers to deliver deeper technical integrations when needed.

• Support launch and iteration of new sales processes, working closely with RevOps.

• Use low-code automation tools and AI-assisted development where useful.

• Unlock maximum value from HubSpot, including custom apps, integrations, and advanced automation.

What we’re looking for

• Deep HubSpot experience (admin, architecture, workflows, automation, reporting).

• Background in marketing operations, growth ops, or GTM systems, ideally in B2B SaaS.

• Comfortable getting hands-on-scrappy, technical, implementation-first mindset.

• Experience scaling CRM and GTM systems during high-growth stages.

• Ability to collaborate with engineering teams when work extends beyond low-/no-code.

• Strong understanding of SaaS customer lifecycle funnels.

• Interest in crypto / digital assets is a bonus.

Team & Environment

You’ll work closely with the Director of GTM Engineering and partner daily with RevOps, sales, marketing, and engineering. The structure is intentionally flat, offering autonomy and the ability to shape how the commercial engine scales.

Location

Hybrid – London, Bank (EC4)
8 days per month in the office (more during the first 1-2 months).

Salary

Up to £100,000 (Lead level)
Benefits

Interview Process

1. Hiring Manager interview

2. Panel with senior leadership

3. Values & behaviours interview

Find out more and apply via the link below.

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Senior Product Analyst – £80,000 (Hybrid – London)

Industry: Global Consumer Marketplace / App
Department: Product & Insights

A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide.

What You’ll Do

• Act as the lead data scientist for a core product domain

• Drive deep product analytics to uncover opportunities for growth and engagement

• Design, analyse, and interpret experiments across the product ecosystem

• Influence product strategy by connecting insights to business goals

• Improve datasets, dashboards, and analytical tooling

• Work closely with ML teams on discovery, ranking, and personalisation initiatives

What We’re Looking For

• Expert-level SQL + solid Python for product analytics

• Hands-on A/B testing experience (design + interpretation)

• Strong understanding of ETL/debugging data issues

• Excellent communication and stakeholder management skills

• Commercially-minded with experience balancing user and business needs

• Bonus: marketplace experience or exposure to ML-driven products

Why Apply

• High-impact role shaping core product decisions

• Great benefits, flexible work, and strong wellbeing support

• Opportunity to work closely with ML teams and influence a global user experience

Find out more and apply via the link below.

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Product Analyst – £55,000 (Hybrid – London)

Industry: Consumer Marketplace / Mobile App
Department: Product & Insights

We’re looking for a Product Analyst to join a fast-growing consumer marketplace used by millions globally. You’ll work closely with product managers, designers, and engineers to uncover insights, shape user experiences, and drive commercial performance.

What You’ll Do

• Analyse user behaviour and product performance across key journeys

• Build dashboards and self-serve insights for cross-functional teams

• Support A/B testing: design experiments, interpret results, recommend next steps

• Work with data and platform teams to ensure clean, scalable datasets

• Present clear, actionable insights that influence product strategy

What We’re Looking For

• Strong SQL skills and experience working with large datasets

• Comfortable using Python for product analytics

• Experience with product experimentation / A-B testing

• Familiarity with Looker, Tableau, or similar BI tools

• Confident communicator who can simplify complex data for stakeholders

• Curious, proactive, and thrives in a fast-paced product environment

Why Apply

• Work on high-impact product features used by millions

• Hybrid working, flexible culture, strong learning budget

• Fast-growing environment with real ownership of analysis and experiments

Find out more and apply via the link below.

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CRM EXECUTIVE – CASINO
£30,000-35,000 + BONUS + BENEFITS
FULLY REMOTE

Please note this client unfortunately cannot sponsor at this time.

THE COMPANY

An established, growing online gaming business is investing heavily in CRM and player engagement. This is a great chance to join a high-performing team, working closely with product, brand and compliance to deliver personalised Casino experiences across multiple channels.

THE ROLE

As a CRM Executive focused on Casino, you will:

• Own day-to-day Casino CRM activity across email, SMS, push and in-app
• Build and refine customer segments based on behaviour and value
• Set up, test and deploy HTML campaigns, ensuring accuracy and quality
• Monitor player activity daily and serve relevant offers to drive retention and revenue
• Track and report on KPIs such as engagement, CTR and conversion, recommending optimisations
• Manage Casino promotions end-to-end, from briefing and setup to QA and post-campaign review
• Contribute to A/B testing, experiment design and ongoing optimisation
• Support automated, trigger-based journeys to improve personalisation
• Update and upload content via the CMS when required
• Work closely with internal stakeholders to ensure smooth execution of campaigns

YOUR SKILLS AND EXPERIENCE

To succeed in this role you will have:

• At least 2 years’ experience in CRM or marketing, ideally within online Casino or gaming
• Hands-on experience with CRM platforms; exposure to Playtech IMS is a bonus
• Strong analytical mindset and confidence working with campaign data and Excel
• Excellent attention to detail, organisation and the ability to manage multiple campaigns at pace
• A proactive, growth-focused attitude and willingness to learn
• Fluent English communication skills and a collaborative approach
• Degree in Marketing, Business or a related field is preferred

BENEFITS

The successful CRM Executive will receive a salary between £30,000 and £35,000 plus bonus and benefits. You’ll join a fast-moving environment with plenty of ownership, the chance to shape Casino CRM strategy and clear opportunities to progress as the team grows.

HOW TO APPLY

Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

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Senior Collections Strategy Analyst

Up to £70,000

Hybrid

London

The Company

I am hiring a Senior Collections Strategy Analyst leading dynamic FinTech based in London. Within this role you will be bringing your credit risk strategy experience to focus on driving business collections and to increase profitability using tools like SQL and Python alongside your credit commercial background

The Role

As a Senior Collections Strategy Analyst, you will be:

• Developing new insights to drive optimisation of credit risk strategies.
• Detecting new trends on customer data to develop wider business strategies
• Developing credit risk strategies for Collections & Recoveries.
• Working with senior leadership to implement/improve strategy.
• Using SQL and Python daily for strategy development

Your skills and experience

To be successful as a Senior Collections Strategy Analyst, you will need:

• Experience as a credit risk strategy analyst
• Experience working in a fast-paced environment
• Experience developing credit risk strategies for collections
• Experience working with SQL and Python
• STEM Degree from a top university

Benefits

Up to £70,000 + Benefits

To Apply for this Job Click Here

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PRODUCT DATA SCIENTIST

£65,000-85,000 + BONUS + BENEFITS

CENTRAL LDN

THE COMPANY

This is a fantastic opportunity at a leading subscription platform offering tech-for-good services. This company uses cutting-edge technology and are at the forefront of their market, with a current focus on driving personalisation across the customer journey and product offering.

THE ROLE

As a Product Data Scientist in this leading subscriptions business, you will play a key role within product analytics. More specifically, you will be involved in the following:

• Improving testing and experimentation strategy, monitoring performance of new features, funnel performance and ab testing/causal impact
• Identifying key growth opportunity whilst fostering a great work culture and environment
• Working with stakeholders across various teams
• Delivering insights on customers including demographic, LTV and engagement
• Regularly conducting a/b tests and other experiments
• Analysis incl. statistical analysis with tools such as Python/R desirable
• Development of some reports/dashboards in Tableau

YOUR SKILLS AND EXPERIENCE

The successful Product Data Scientist will have the following skills and experience:

• Experience within Product Analytics / Product Data Science
• Excellent understanding and previous practical implementation of a/b testing and experiment design/frameworks
• Experience with SQL, Python and ideally Tableau or similar for visualisation
• Excellent business judgement and strategic thinking, with the technical toolkit to enable delivery and strong experience in collaborating and co-ordinating across multiple business departments
• Excellent communication and stakeholder skills

BENEFITS

The successful Product Data Scientist will receive a salary between £65,000 and £85,000. In addition to this, you will receive an extensive benefits package and the opportunity to work in a great working culture and environment steering the direction of analytics for the company.

HOW TO APPLY

Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

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Customer Data Analyst – up to £50,000 | Hybrid (2 days per week in London)

High-growth consumer services company | Expanding data team | Customer behaviour & retention focus

I’m supporting a rapidly expanding consumer services organisation that has seen significant growth and investment in digital, data, and customer analytics over the past few years. As part of their continued transformation, they are looking for a Customer Data Analyst to join their insights function and help shape customer strategy across the business.

This is an opportunity to join a modern, insight-driven environment, working with senior stakeholders and influencing decisions around customer value, retention, product innovation, and commercial performance.

The Role

You will join a collaborative analytics team and work with stakeholders across Commercial, Marketing, Finance, and Technology. Your focus will be understanding customer behaviour, identifying value opportunities, and delivering insights that directly inform business strategy.

What You’ll Be Doing

• Develop and enhance customer segmentation to identify behavioural and value-based groups.

• Analyse churn, retention, loyalty, and customer lifetime value to support business planning.

• Explore diverse datasets – including customer interactions, service usage, device/behavioural data, and geographic insights – to uncover new opportunities.

• Conduct deep-dive evaluations of customer-focused product ideas and potential investments, providing clear, actionable recommendations.

• Partner with senior stakeholders to communicate insights in a simple, commercial, and impactful way.

• Support A/B testing, funnel analysis, and journey optimisation initiatives.

• Build dashboards and automate reporting to improve operational efficiency and insight accessibility.

What They’re Looking For

• Strong SQL and Python experience with solid analytical and storytelling skills.

• Background in customer or commercial analytics (telco, subscription, retail, e-commerce, utilities, FS, etc. all relevant).

• Ability to translate complex data into clear, actionable insight.

• Confident working with senior stakeholders and owning analysis end-to-end.

• Experience with segmentation, churn/retention analysis, or CLTV modelling is a strong advantage.

• Someone proactive who enjoys solving real business problems with simple, effective solutions.

Why This Role Is Unique

• Join a fast-growing organisation investing heavily in analytics and insight.

• Work on high-impact customer insight projects with strong visibility across the business.

• Lots of opportunity for greenfield analysis-many datasets remain underutilised.

• Collaborative team environment with strong leadership and clear direction.

• Ideal for someone who enjoys mixing hands-on analytics with strategic business influence.

Salary & Working Model

• Up to £50,000 base salary plus benefits

• Hybrid: 2 days per week in theLondon office

• Excellent exposure, learning opportunities, and ownership of key customer insight projects

To Apply for this Job Click Here

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Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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