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Data Scientist

Liverpool area (3 days onsite) | £45,000 to £50,000

This is a strong opportunity for a commercially minded Data Scientist to step into a growing team at a key point in its data journey. You will have the chance to work on high-impact customer projects while helping shape how data science is delivered and scaled across the business.

The Company

They are a well-established UK retail organisation investing heavily in building a modern data and AI capability. The business is transitioning away from ad hoc analytics towards a more structured and scalable data science approach. A major focus is on customer insight and personalisation, driven by a new loyalty programme. The culture is collaborative, pragmatic, and focused on delivering tangible value.

The Role

You will work closely with the Data Science Lead and a small, high-impact team to deliver production-ready models and insights.

• Build and deploy machine learning models to support customer and commercial decision making
• Deliver key use cases such as customer segmentation, lifetime value modelling, and demand forecasting
• Work across the full data science lifecycle from problem definition through to deployment
• Contribute to the development of a new data science platform
• Collaborate with data engineers, analysts, and business stakeholders to deliver measurable impact
• Communicate complex findings clearly and confidently to non-technical audiences
• Support scaling existing models into broader business use

Your Skills and Experience

• Strong commercial experience applying data science and machine learning to business problems
• Proficiency in Python preferred, or R with openness to transition
• Solid SQL skills and experience working with complex datasets
• Experience delivering end-to-end data science solutions, including production deployment
• Exposure to cloud platforms such as GCP or Azure is beneficial
• Strong stakeholder management and communication skills
• A practical, outcome-focused approach to problem solving

What They Offer

• £45,000 to £50,000 salary
• Hybrid working with 3 days onsite in the Liverpool area
• The opportunity to shape and influence a growing data science function
• Clear progression as the team scales
• Collaborative and inclusive working environment
• Benefits including staff discount, wellbeing support, pension, and development opportunities

How to Apply

Apply now with your CV to explore this opportunity further.

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Senior Engagement Manager – Analytics Consulting
London or Leeds
£100,000 – £120,000

This is a high impact opportunity to join a growing analytics consulting capability within a global data driven business. You will lead client engagements, shape solutions, and play a key role in building a consulting practice with clear progression into leadership.

The Company
They are an established, international organisation specialising in data, analytics and decisioning. They consult with major financial services and fintech clients to solve complex commercial challenges. They are investing in expanding their advisory offering, moving beyond products into end to end consulting. This creates the opportunity to help shape a new and growing function.

The Role

• Lead analytics consulting projects end to end
• Act as the main client contact for senior stakeholders
• Translate data into clear commercial recommendations
• Work with data science and analytics teams to deliver solutions
• Support proposals, pitches and client discussions
• Contribute to building the consulting practice
• Deliver projects across credit risk, pricing, fraud and customer strategy

Your Skills & Experience

• Experience in analytics or data led consulting within financial services, fintech or payments
• Strong stakeholder management and client facing delivery
• Ability to turn analytics into commercial outcomes
• Background in credit risk, customer analytics or related areas
• Exposure to SQL, Python or similar tools
• Consulting experience is essential

What They Offer

• £100,000 – £120,000 base salary + bonus
• Hybrid working with client exposure
• Opportunity to shape a growing consulting function
• Clear progression into leadership roles
• Strong benefits and development opportunities

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Data Scientist

Knowsley – 3 days a week

The Company
They are a well established UK retail business undergoing a broader data and AI transformation. The organisation is investing in building a modern Data Science capability to support decision making across commercial and customer functions. Their culture is practical, collaborative and delivery focused, with an emphasis on creating value quickly rather than over engineering solutions. Data is increasingly central to their strategy, particularly with the launch of a new customer loyalty programme.

The Role
You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions.

• Build and deploy models that support customer and commercial decision making
• Work on use cases such as customer segmentation, lifetime value modelling and demand forecasting
• Contribute to the development of a scalable Data Science platform
• Collaborate with data engineers, analysts and business stakeholders
• Translate business problems into data science solutions and clearly communicate outputs
• Support the expansion of existing models into broader production use

Your Skills and Experience

• Strong commercial experience in Data Science using Python
• Solid SQL skills and experience working with large datasets
• End to end experience delivering Data Science solutions from problem definition through to deployment
• Experience building and validating machine learning models
• Ability to communicate insights clearly to non technical audiences
• A practical, business focused approach to problem solving

What They Offer

• Hybrid working with three days per week in Knowsley
• Opportunity to shape and influence a growing Data Science function
• Exposure to end to end project work with real business impact
• A collaborative environment focused on learning and delivery

How to Apply
Apply now to learn more about this Data Scientist opportunity and the impact you can make within a growing data driven environment.

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CRM Executive
London (Hybrid)
Up to 35k

This is an exciting opportunity for a CRM/Data Executive to join a growing data-focused team, supporting impactful multi-channel campaigns and working with a large, evolving database. You will play a key role in ensuring data accuracy and delivering insights that directly support client engagement and communication strategies.

The Company
They are a well-established organisation working at the intersection of data, communications, and partnerships. Their work supports large-scale engagement initiatives across a diverse client base. With a strong emphasis on data quality and innovation, they are continually investing in their data capabilities. You will join a collaborative team where your contributions will have visible impact from day one.

The Role
* Build and manage targeted contact lists to support email campaigns, outreach activity, and direct communications
* Produce clear, client-ready reports using charts, graphs, and data visualisations
* Maintain and update a central CRM database, ensuring data quality and integrity
* Carry out data cleansing and de-duplication to improve database performance
* Support inbox management, resolving user queries related to account setup and access
* Collaborate with internal teams to deliver accurate and timely data outputs

Your Skills and Experience
* Strong commercial experience working with data in a fast-paced environment
* Advanced Excel skills including pivot tables, lookups, and data manipulation techniques
* Experience with data cleaning, matching, and maintaining large datasets
* Strong attention to detail with a methodical and organised approach
* Confident communicator with the ability to work collaboratively
* Exposure to email service providers such as Mailchimp or similar tools is beneficial

What They Offer
* Competitive salary and benefits package
* Opportunity to develop within a growing data team
* Hands-on experience across a variety of data-driven projects
* Supportive and collaborative working environment with clear progression opportunities

How to Apply
If you are interested in this Data/CRM Executive role, please apply with your updated CV.

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CRO Consultant1-2 Days in office – Egham
Up to 60k

This is an excellent opportunity to join a fast-growing experimentation and optimisation environment where you will take full ownership of client programmes and see the direct impact of your work. You will work across a diverse portfolio of enterprise clients, delivering insight-led testing strategies that genuinely influence digital performance and customer experience.

The Company
They are an established and rapidly scaling digital experimentation and personalisation specialist, working with a wide range of well-known enterprise clients across multiple sectors. Their focus is on helping organisations make smarter, data-driven decisions through testing, analytics, and continuous optimisation. They pride themselves on a collaborative and supportive culture that encourages curiosity, innovation, and ongoing learning.

The Role
You will lead end-to-end optimisation programmes, partnering closely with stakeholders to identify opportunities and deliver measurable results.

• Own the experimentation lifecycle from ideation through to analysis and recommendations
• Develop hypotheses based on data, user behaviour, and business objectives
• Plan and manage testing roadmaps aligned to client goals
• Analyse experiment results and provide clear, actionable insights
• Deliver detailed reports and presentations to stakeholders
• Lead regular client check-ins and strategy discussions
• Maintain clear documentation of tests, outcomes, and learnings
• Collaborate with technical and analytics teams to ensure smooth delivery
• Use tools such as Jira and Tempo to manage workflow and timesheets

Your Skills & Experience

• Strong commercial experience in conversion rate optimisation and experimentation
• Confident designing and analysing A/B and multivariate tests
• Experience working with experimentation platforms such as VWO or similar
• Strong stakeholder management and communication skills
• Ability to translate data into clear business recommendations
• Experience working in agency, vendor, or in-house environments
• Solid understanding of digital analytics and user behaviour
• Comfortable working across multiple projects and client accounts

What They Offer

• Competitive salary up to £60,000
• Flexible and hybrid working options
• Exposure to a diverse portfolio of enterprise clients
• Opportunity to develop across experimentation and advanced analytics
• Supportive environment with strong career progression opportunities
• Comprehensive benefits package including healthcare and wellbeing support

How to Apply
If you are passionate about experimentation and want to make a measurable impact through data-driven decision making, apply now to find out more.

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Data Scientist – Merseyside

As a Data Scientist, you will work closely with the Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include:

• Building and deploying machine learning models across customer use cases
• Delivering projects focused on customer segmentation, lifetime value, and forecasting
• Supporting targeted marketing activity, including campaigns and personalisation
• Collaborating with data engineers, analysts, and business stakeholders
• Contributing to the development of a scalable Data Science platform
• Ensuring models are production-ready and drive measurable business impact

Your Skills & Experience

• Strong commercial experience in Data Science, delivering end-to-end projects
• Proficiency in Python, with solid SQL skills
• Experience applying machine learning and statistical techniques to business problems
• Exposure to deploying models into production environments
• Understanding of cloud platforms such as GCP or Azure is beneficial
• Ability to communicate insights clearly to non-technical stakeholders
• A practical, delivery-focused mindset with a collaborative approach

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Senior Analytics Engineer (IC3, IC4, IC5)
Orange County, California (Minimum of 3 Days On Site per week)
Base Salary between $150,000 – $220,000 + Equity

This is an opportunity to join a high growth engineering environment where data is central to how the business operates. Rather than focusing on reporting, you will build data driven systems that directly influence real world operations, working on complex challenges across production, supply chain, and commercial performance.

The Company
They are a rapidly scaling technology organization operating at the intersection of advanced engineering, manufacturing, and software. Their teams work on complex, real world systems and are known for solving high impact technical problems at pace. With significant investment and strong long term demand, they continue to expand both their product capabilities and data infrastructure. Data is viewed as a core strategic asset, underpinning operational decision making across the business.

The Role
You will take ownership of building high quality data products that support critical operational workflows. This is a hands on role with significant scope and exposure to senior stakeholders.
Responsibilities include:

• Designing and developing scalable data models that reflect how the business operates
• Building data driven applications and workflows rather than traditional dashboards
• Partnering closely with stakeholders across finance, manufacturing, and operations
• Developing and maintaining robust data pipelines and data products
• Driving improvements in data quality, accessibility, and usability
• Contributing to the evolution of the broader data platform and architecture
• Translating complex technical work into clear business impact

Your Skills and Experience

• Strong commercial experience in analytics engineering, data engineering, or a similar data focused role
• Advanced SQL and solid Python skills
• Proven ability to build scalable, well structured data models
• Strong understanding of data architecture and distributed systems concepts
• Experience working closely with stakeholders to deliver business impact
• Track record of ownership and delivering end to end data solutions
• Exposure to modern data tooling such as dbt or similar transformation frameworks is beneficial
• Experience working with operational, manufacturing, or hardware related data is advantageous

What They Offer

• Competitive base salary up to $220,000 depending on level
• Equity package with long term upside
• Relocation support where applicable
• High impact work with clear ownership from day one
• Strong opportunities for progression into broader product and engineering scope

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Lead Product Manager

A high-growth B2B fintech platform is seeking a Lead Product Manager, bringing deep domain expertise in Wealth and Financial technology. This role is a high-impact, highly visible and will require a strategically focused product leader.

Role Purpose

The Lead Product Manager will own onboarding-centric product domains, driving both strategic direction and end-to-end execution. You will operate as a stabilizing force during a period of transition, maintaining product velocity, stakeholder alignment, and delivery predictability.

The broader product vision is to enable enterprise advisors with scalable, data-driven tooling that enhances client engagement and drives investor confidence through differentiated digital experiences.

Key Responsibilities

• Own the vision, strategy, and execution for onboarding systems, with a strong, data-informed perspective on maintaining competitive advantage within the wealth technology ecosystem
• Operate as a senior IC, leading product discovery, defining scalable solutions, managing roadmap prioritization, and ensuring high-quality delivery outcomes
• Provide technical leadership and mentorship to product managers, elevating product craft while retaining hands-on ownership of critical initiatives
• Partner cross-functionally with engineering, design, data, and GTM teams to deliver performant, user-centric product experiences
• Rapidly build deep domain expertise in onboarding workflows, identifying opportunities for optimization, automation, and differentiation
• Maintain continuity in product leadership, decision-making, and execution rigor through periods of organizational change

For more information and to apply, please email:

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