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Role Title
Senior Strategy & Analytics Manager

Salary
£90,000-£120,000

Location + work pattern
London (Hybrid – 3 days in office)

The Company:

• A fast-growing FinTech
• Established player in the UK market with strong investment backing and international growth plans
• A data-driven business with a strong focus on innovation, performance, and customer outcomes

The Role

• A high-impact strategic analytics role focused on optimising collections and recoveries performance
• Combining deep data analysis with commercial thinking to influence key business decisions

Specifically, you can expect to be involved in:

• Developing and improving collections and recoveries strategies using data-driven insights
• Analysing large and complex datasets to identify trends and performance opportunities
• Partnering with teams across operations, finance, product and engineering
• Balancing commercial performance with customer outcomes
• Managing and mentoring junior team members

Your Skills and Experience

• Proven experience in analytics or data-led strategy roles (5+ years)
• Strong SQL skills with the ability to work with complex, multi-source datasets
• Ability to translate data into clear, actionable insights
• Experience in fast-paced, commercial environments such as financial services or consulting
• Strong stakeholder management and communication skills
• Stem degree from a top university

The Benefits

• Competitive salary with bonus or equity potential
• Hybrid working with flexibility
• Generous annual leave allowance
• Learning and development support
• Clear progression opportunities within a growing business

The Process

• Initial interview focusing on experience and motivations
• Technical SQL assessment
• In-person case study and technical discussion
• Final leadership interview
• Offer!

How to Apply
Please register your interest via the apply link on this page.

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Role Title
Risk Pricing Manager

Salary
£65,000-£80,000 + benefits

Location + work pattern
Leicester (1 day a week)

THE COMPANY
This organisation is a well-established digital insurer with a strong focus on data, analytics, and innovation. They are continuing to invest in pricing and analytics to improve decision-making and enhance customer outcomes in a highly competitive market.

THE ROLE
This is a leadership role within a home pricing team, responsible for delivering pricing insights and driving improvements to risk and commercial performance. You will balance team leadership with hands-on analytical work, contributing to both pricing strategy and execution.
Specifically, you can expect to be involved in:

• Leading and developing a small team of analysts, providing guidance, coaching and prioritising workloads
• Analysing customer, market and risk data to identify opportunities to enhance pricing performance
• Enhancing and refining pricing models using new data sources and analytical techniques
• Translating insights into actionable pricing strategy recommendations
• Collaborating with actuarial, data science and commercial teams to optimise pricing decisions

YOUR SKILLS AND EXPERIENCE

• Experience in pricing, analytics or a related field within insurance or a data-driven environment
• Strong analytical capability with experience working with large datasets and statistical models
• Working knowledge of Python, R or similar coding languages, plus SQL skills
• Ability to interpret data and translate findings into clear commercial recommendations
• Strong communication skills and the ability to engage with both technical and non-technical stakeholders
• Experience managing or mentoring analysts, or a clear interest in developing leadership skills

THE BENEFITS

• Hybrid working model with flexibility
• Annual bonus scheme
• Private medical insurance and life assurance
• Pension contributions and broader financial wellbeing support
• Generous annual leave plus additional flexible benefits

THE PROCESS

• Initial screening conversation
• First stage interview
• Technical case study stage
• Final stage discussion
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page.

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Head of Analytics and Data Science

London, hybrid (2 to 3 days per week)

The Company
They are a well known, consumer focused organisation operating across multiple business units and partner networks. Despite strong brand recognition, the central team operates with a lean, agile, and entrepreneurial mindset similar to a scale up. Data is a key focus area, with significant investment in building a modern, insight driven organisation. Their work spans loyalty programmes, customer engagement, and commercial performance.

The Role
You will lead the combined Analytics and Data Science function, with responsibility for strategy, delivery, and stakeholder engagement across the business.
Key responsibilities include:
* Bringing together separate Analytics and Data Science teams into a unified function
* Leading and developing a team of managers and specialists across analytics and data science
* Setting the roadmap for customer focused data initiatives, including loyalty and pricing optimisation
* Driving adoption of self service analytics and improving data accessibility across the organisation
* Leading the overhaul and optimisation of dashboards and reporting frameworks
* Partnering with senior stakeholders across multiple business units to influence decision making

Your Skills and Experience
* Strong commercial experience leading both Analytics and Data Science functions
* Proven ability to define and execute data strategies in consumer focused organisations
* Experience delivering data transformation programmes, including self service analytics and reporting improvements
* Background in customer analytics, loyalty, or pricing related use cases
* Strong stakeholder management skills, with experience influencing senior leadership
* Solid technical grounding in data science and analytics, with the credibility to guide teams and review outputs

What They Offer
* Bonus and competitive benefits package
* Hybrid working model with a central London office
* Opportunity to shape a key function within a growing data organisation
* High visibility role with influence across multiple business areas
* Clear scope to drive transformation and long term impact

How to Apply
If you are interested in leading a data function at the intersection of analytics, data science, and AI, apply now to find out more.

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AI Engineer

London (Soho, hybrid, 2 days per week)

The Company
They are a well established media business with a significant infrastructure footprint spanning physical and digital assets. Operating across multiple verticals, they have a strong market position and continue to grow through investment and acquisition. The organisation is now rebranding and investing heavily in digital, data, and AI capabilities to modernise operations and unlock new efficiencies. Their current focus is on building internal AI use cases, with future plans to expand into customer facing products.

The Role
You will be responsible for shaping and delivering AI solutions from concept through to production within a growing function.
Key responsibilities include:
* Designing and implementing AI solutions to improve operational efficiency
* Defining LLM architecture and selecting the appropriate AI stack
* Building and deploying AI tools such as assistants and workflow automation solutions
* Developing document processing capabilities to support real world use cases such as contract and tender analysis
* Working within an Azure cloud environment and applying best practices in MLOps and DevOps
* Collaborating closely with product teams and senior leadership, including acting as a key partner to the Director of AI

Your Skills and Experience
* Strong commercial experience in AI engineering or machine learning, ideally evolving from a data science background
* Proven experience building and deploying LLM based applications in production environments
* Experience working with cloud platforms and modern deployment practices, ideally within Azure
* Knowledge of DevOps or MLOps principles
* Ability to define architecture and build AI solutions end to end
* Strong communication skills and experience working with a range of stakeholders

What They Offer
* Hybrid working with a central London office
* Opportunity to shape AI strategy at an early stage
* Exposure to large scale, real world AI challenges
* Clear progression as the AI function continues to grow

How to Apply
If you are interested in building and scaling AI solutions within an enterprise environment, apply now to find out more.

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Data Analyst

London/Hybrid

Up to £50,000

Overview

This is a client-facing Data Analyst role in a well-established analytics consultancy, offering broad project exposure and strong ownership across the full data lifecycle.

The Company

They are a leading data and analytics consultancy combining proprietary data with advanced analytics. They support organisations across sectors including utilities, telecoms, financial services, and retail. The environment is collaborative, delivery-focused, and built around solving real commercial problems.

The Role

• Gather client requirements and define business problems
• Analyse and integrate complex datasets using SQL and Python
• Deliver insights through dashboards and reports, primarily in Power BI
• Present findings to stakeholders and translate into commercial recommendations
• Work on varied projects including customer segmentation and revenue analysis

Your Skills & Experience

• Strong commercial experience in data analysis
• Advanced SQL and experience working with large datasets
• Python experience is highly desirable
• Experience with Power BI or similar BI tools
• Confident communication and stakeholder engagement skills

What They Offer

• Competitive salary with flexibility for strong candidates
• Hybrid working in London
• Exposure to diverse projects and industries
• Clear progression within a collaborative team

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Optimisation Consultant
Surrey or hybrid working | Competitive salary and benefits
This is a chance to step into a highly visible optimisation role where your ideas, insight, and delivery directly influence how digital experiences perform. You will work across experimentation, personalisation, and data driven decision making, partnering closely with clients to help them learn faster and optimise smarter.
The Company
They are a fast growing UK based digital optimisation and experimentation business working with a wide range of consumer focused organisations. Their platform and consulting capability support teams to test, learn, and improve online experiences through data led insight. Collaboration, curiosity, and continuous improvement sit at the heart of how they work, with a strong focus on building long term value for clients and teams alike.
The Role

• Act as the primary point of contact for a portfolio of clients, owning day to day delivery and relationships
• Lead experimentation and optimisation programmes end to end, from ideation and roadmap planning through to analysis and iteration
• Develop test hypotheses using data, UX insight, and commercial context
• Manage timelines, documentation, and stakeholder communication to ensure successful delivery
• Analyse test results and translate data into clear, actionable insight
• Work closely with internal specialists to deliver high quality optimisation outcomes

Your Skills and Experience

• Strong commercial experience in digital optimisation, experimentation, analytics, UX, or web performance
• Confidence working with data and interpreting results to inform decisions
• Solid understanding of web technologies and the ability to explain technical concepts clearly
• Experience managing stakeholders and communicating with non technical audiences
• Highly organised, adaptable, and comfortable working across multiple projects
• A curious, proactive mindset with a genuine interest in improving digital experiences

How to Apply
If you are looking to grow your impact in experimentation and optimisation, apply now to find out more about this opportunity.

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Marketing Analyst
Hybrid – 2/3 days in office, Wiltishire
Salary up to £50,000

This is a commercially focused Marketing Analyst role where insight drives action. You will work at the heart of marketing decision making, using experimentation and customer analysis to optimise performance across acquisition and CRM channels. The emphasis is on impact, not reporting, with a strong test and learn culture and real influence over marketing strategy.

The Company
They are a data led organisation operating in a fast paced, customer focused environment. Marketing plays a central role in driving growth across both digital and physical channels, with a strong focus on understanding customer behaviour end to end. Analytics is embedded within the business, partnering closely with marketing teams to enable smarter, evidence based decisions. Collaboration and curiosity are key to how they work.

The Role

• Partner with marketing channel leads across paid search, paid social and CRM to improve campaign performance.
• Analyse marketing activity across the funnel to understand acquisition, conversion and customer value.
• Design and evaluate experiments to test creatives, audiences, messaging and channel strategies.
• Run incrementality tests and support the development of robust measurement and attribution approaches.
• Analyse customer lifecycle behaviour to improve retention, reactivation and purchase frequency.
• Build and refine customer segments to support more targeted and effective marketing activity.
• Translate complex analysis into clear, actionable recommendations for non technical stakeholders.

Your Skills and Experience

• Strong commercial experience analysing marketing or customer data to drive growth.
• Advanced SQL skills with experience working on large, complex datasets.
• Experience using Python or R for analysis, experimentation or statistical modelling.
• Strong understanding of experiment design, statistical testing and measurement.
• Exposure to incrementality testing and attribution approaches, with marketing mix modelling knowledge beneficial.
• Experience working across digital marketing channels such as paid search, paid social and CRM.
• Ability to communicate insights clearly and influence decision making across teams.

How to Apply
Apply now to find out more about this Marketing Analyst opportunity and how you could make an impact.

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Principal Private Cloud Architect

Location: Dallas, TX (5 days per week onsite)

Compensation: $225,000 target base + x2 Bonuses, Equity

About the Opportunity

Are you a hands-on architect who thrives on building high-performance, automated private cloud infrastructure at a massive scale?

We are partnering with a large global technology and semiconductor manufacturing giant headquartered in Dallas, TX. Boasting over $17B+ in recent annual revenue and currently executing an aggressive $60B+ domestic infrastructure expansion, this organization is anchoring the future of global tech manufacturing.

We are seeking a Principal Private Cloud Architect to serve as the critical connective layer between their massive enterprise compute, storage, and network infrastructure. Reporting directly to the Director of Public + Private Cloud, this is a 100% hands-on role requiring a blend of deep platform engineering, SRE expertise, and architectural vision.

There is a recognized gap at both the engineering and architect levels; the current team leans heavily on policy and compliance, so we need a deeply technical builder who can establish high-performance infrastructure and true technical depth.

Note on Focus: This is a pure Private Cloud, Data Center Infrastructure, and Infrastructure-as-Code role. If you are looking for a strategy-heavy, pure public cloud role, this is not the right fit.

Key Responsibilities

• Bridge the Infrastructure: Act as the ultimate connective tissue between existing enterprise compute and storage hardware, ensuring the network layer is optimized and ready for next-gen workloads.
• Automate Everything: Drive an “Infrastructure as Code” mindset across the organization, focusing heavily on treating Kubernetes as code and implementing heavy automation (Terraform or similar).
• Architect & Engineer: Maintain absolute technical depth. You will not just draw diagrams; you will write code, build an internal “AWS-like” self-service developer platform, and actively engineer the platform.
• Secure by Design: Architect robust, end-to-end security frameworks directly into the infrastructure fabric from a design perspective, going beyond mere policy to implement zero-trust concepts.

Required Technical Expertise

• Experience: Minimum 8+ years of deep private cloud and enterprise data center infrastructure background.
• Container Platforms: Advanced mastery of Kubernetes as code, with production experience deploying enterprise container platforms like OpenShift or SUSE Rancher.
• Data & Streaming Ecosystems: Hands-on experience leveraging Kafka and Spark for distributed data processing and platform integration.
• Automation / IaC: Strong proficiency with Terraform or similar automation frameworks.
• Advanced Networking: Deep understanding of data center networking, including L2/L3, EVPN/VXLAN, SDN, and load balancing.
• Hybrid Integration: Proven ability to connect massive on-prem footprints to public cloud providers (AWS, Azure, or GCP).

Preferred/Nice-to-Haves

• Experience designing for High-Performance Computing (HPC) or GPU-based workloads.
• Familiarity with observability tools (Grafana, Prometheus) and GitOps frameworks.

What We Are NOT Looking For

• Pure public cloud architects who do not have a background in bare-metal or data center infrastructure.
• High-level strategists or policy-heavy managers who no longer possess deep, hands-on engineering capabilities.
• Candidates lacking practical Platform Engineering or SRE experience.

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DATA QUALITY & GOVERNANCE ENGINEER
£80,000
LONDON

This is a key hire into a growing data and AI function within a regulated financial services environment. The role offers a strong mix of hands‑on technical work and data governance ownership, with the chance to shape how data quality and trust is embedded across the business.

THE COMPANY

Our client is a fast‑growing financial services organisation providing core banking and technology services to a broad range of businesses, including fintechs and SMEs. They operate in a highly regulated environment and are investing heavily in their data platform as part of continued growth. This role has been created due to increasing demand for trusted, high‑quality data across the organisation.

THE ROLE

• Take ownership of data quality and governance across key business domains
• Build and maintain data quality metrics using SQL and dbt, ensuring accuracy and reliability
• Implement and manage the organisation’s data governance tooling, including metadata, lineage and documentation
• Work closely with stakeholders to define data standards, metrics and data definitions
• Support finance and analytics teams by improving visibility into data quality and source reliability
• This role is heavily hands‑on (circa 75% technical), while also offering real ownership over governance practices and tooling.

YOUR SKILLS AND EXPERIENCE:

• Experience in data quality, analytics engineering or data engineering roles
• Strong SQL skills and hands‑on experience with dbt
• Understanding of data governance concepts such as data lineage, data dictionaries and quality frameworks
• Experience working with data quality metrics and validation processes
• Comfortable working with stakeholders and translating business requirements into technical metrics
• Experience with governance or metadata tools is advantageous

SALARY AND BENEFITS

• £70,000 – £80,000 base salary
• Bonus scheme
• Pension contribution
• Hybrid working model (2 days per week in London)

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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AI FORWARD DEPLOYED ENGINEER
£110,000
UK

This is an exciting opportunity to join a fast‑growing, AI‑led technology business working on complex, real‑world problems at enterprise scale. The role is ideal for an engineer who enjoys being close to customers, owning delivery end‑to‑end, and seeing advanced AI solutions live in production.

THE COMPANY

Our client is an AI‑first technology business operating in the life sciences and data space. They work with large enterprise customers globally, helping teams extract value from vast and complex datasets using modern AI and NLP techniques. The business is scaling quickly, with this role created to support growing customer demand and large‑scale enterprise deployments.

THE ROLE

• Lead technical delivery for enterprise customers, owning integrations from initial proof‑of‑concept through to production
• Design and implement AI‑driven integrations, including LLM‑powered and agent‑based workflows
• Act as a technical partner to customers, understanding requirements and translating them into scalable solutions
• Feed customer learnings back into the core platform, influencing product and engineering direction
• Work closely with internal engineering teams to improve platform capability and robustness

YOUR SKILLS AND EXPERIENCE:

• 6-8 years’ experience building production‑grade ML, data or software systems
• Proven experience deploying NLP or LLM‑based features into production environments
• Strong exposure to RAG, retrieval or recommendation systems
• Experience working with vector databases and end‑to‑end LLM workflows
• Familiarity with graph databases and cloud data platforms
• Confident communicator with strong stakeholder management skills
• Consultancy or customer‑facing technical experience is advantageous

SALARY AND BENEFITS

• £80,000 – £110,000 base salary
• Fully remote working model

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

To Apply for this Job Click Here

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Customer Insights Analyst

£50,000 – £55,000

Darwen (3 days a week on-site)

This is an exciting opportunity to join a data-led organisation where customer insight is central to driving commercial performance and improving customer experience.

THE COMPANY

They are a growing, customer-centric organisation operating across a large network of consumer-facing locations. With a strong focus on personalisation and service quality, they use data to continuously improve engagement, retention, and lifetime value.

THE ROLE

As a Customer Insight Analyst you will play a key role in shaping how data informs decision making across marketing, operations, and customer strategy, with a clear line of sight to business impact.

Specifically, you can expect to be involved in the following:

• Analyse customer and transactional data across CRM systems, digital platforms, and surveys to identify behavioural trends and opportunities
• Develop dashboards and reporting frameworks that track retention, conversion, and customer lifetime value
• Support campaign targeting and personalisation through segmentation, cohort analysis, and predictive modelling
• Evaluate campaign effectiveness through pre- and post-analysis, measuring uplift, ROI, and channel performance
• Lead on customer satisfaction and advocacy analysis, using sentiment analysis and key driver techniques
• Translate complex datasets into clear, actionable insights for non-technical stakeholders

SKILLS AND EXPERIENCE

The successful Customer Insight Analyst will have the following skills and experience:

• Strong commercial experience in customer insight, CRM analytics, or marketing analytics
• Proficiency in SQL and Python, with exposure to tools such as Power BI or Tableau
• Experience with segmentation, lifecycle analysis, and campaign performance measurement
• Understanding of CRM and marketing channels such as email, SMS, or direct communications
• Ability to analyse survey data, including sentiment and driver analysis
• Confident communicating insights to a range of stakeholders, including non-technical audience
• Familiarity with data privacy and governance best practices

BENEFITS

The successful Customer Insight Analyst will receive the following benefits:

• Salary between £50,000 – £55,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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