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SENIOR CREDIT RISK STRATEGY ANALYST – FINTECH
£80,000
LONDON

This FinTech have been through significant growth in the past few years and are looking to continue on this journey. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in developing their lending strategies. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Developing and driving lending strategies across the business, across both acquisitions and exisiting customers
• Work across a range of areas including pricing, profitability, affordability and broader lending decisions to add growth and commercial improvements across the business
• Analysing wider portfolio performance to drive innovation and forecast future developments
• Integrating CRA and wider customer data to enhance business performance

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience within consumer lending
• Strong experience in developing and leading implementation of credit risk strategies is essential
• SQL or Python experience is essential
• Experience working with SME or business lending is highly desirable

SALARY AND BENEFITS

• Up to £80,000 base salary
• Bonus
• Private medical care
• Pension scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Title: Senior AI Engineer

Location: Remote, United States

Compensation: Up to $240,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.

What You’ll Do

• Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
• Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
• Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
• Analyze production behavior, identify failure modes, and drive improvements based on data
• Make key architectural decisions across model infrastructure, tooling, and workflows
• Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
• Lead best practices for building reliable, observable, and cost-efficient AI systems

Requirements

• 6+ years of software engineering experience, including 3+ years working on ML or AI systems
• Proven experience owning and deploying production LLM systems
• Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
• Experience designing evaluation systems and improving models through quantitative analysis
• Strong Python skills, with solid software engineering fundamentals
• Experience making architectural decisions that influence team or org direction
• Strong understanding of production systems, including reliability, observability, and cost tradeoffs
• Ability to break down ambiguous problems and operate with a high degree of ownership
• Clear communication skills and experience working cross-functionally

Nice to Have

• Experience in regulated domains such as compliance or security
• Familiarity with data platforms or analytics tooling
• Experience with orchestration frameworks (e.g., Temporal, Airflow)
• Exposure to LLM evaluation platforms or tooling
• Contributions to open source, research, or technical communities

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

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Title: Research Engineer, Data

Location: USA Remote

Compensation: Up to $400k + Equity

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a high-impact, research-meets-engineering role focused on the data that powers advanced AI systems. You’ll own how models learn, designing datasets, running experiments, and building data pipelines that directly shape model capabilities across a wide range of applications.

What You’ll Do

• Design multimodal, multitask datasets to unlock new model capabilities
• Run controlled experiments to understand how data impacts model performance
• Build and scale pipelines for synthetic data generation, filtering, and quality control
• Define evaluation frameworks and benchmarks to measure real-world model improvement
• Partner with cross-functional teams to translate product goals into data strategies

Requirements

• 4+ years of experience in machine learning, ideally with a data-centric focus
• Experience working with large multimodal datasets and generative models
• Strong intuition for how data quality and composition impact model behavior
• Experience across the full ML lifecycle, from data to training to evaluation
• Proficiency with ML frameworks such as PyTorch or JAX
• Experience with distributed systems or compute tools (e.g., Ray, Kubernetes)
• Strong interest in advancing next-generation AI systems

Nice to Have

• Experience with synthetic data generation or data curation at scale
• Background working on multimodal or video-based models
• Exposure to evaluation and benchmarking for generative systems

If you’re interested in shaping the data that defines what AI models can learn and do, this is a unique opportunity to work at the forefront of multimodal AI.

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Tech Lead Manager, Integration

Bay Area (Hybrid)
Base: Up to $300,000 + Equity + Benefits

About the Company (Confidential)

We’re working with a high-growth, venture-backed AI SaaS company transforming how enterprises operate through intelligent systems and real-time data infrastructure.

The company is scaling rapidly, has strong product-market fit, and is tackling complex challenges around data orchestration, integrations, and operational intelligence at enterprise scale.

Why This Role Matters

This is a mission-critical leadership role responsible for building and scaling the systems that power integrations across the platform.

You’ll operate in a true player-coach capacity-leading a team while remaining deeply embedded in architecture and development. If you’re looking for a role where you can own systems end-to-end, influence technical direction, and build a high-performing team, this is it.

What You’ll Be Doing

Lead Through Building

• Architect and develop scalable integration infrastructure (APIs, webhooks, data pipelines)
• Drive reliability and performance for near real-time data synchronization
• Write production code, review PRs, and set technical standards across the team
• Own architectural decisions for distributed systems and data flow

Lead Through People

• Manage, mentor, and grow a team of engineers
• Build a strong engineering culture rooted in ownership and accountability
• Drive hiring and scaling efforts for the team
• Partner closely with Product and Engineering leadership on roadmap and execution

What We’re Looking For

• 8+ years of experience building scalable backend or distributed systems
• 2+ years as a Tech Lead or Engineering Manager with direct reports
• Strong background in integration systems (APIs, ETL pipelines, webhooks, iPaaS)
• Experience with modern backend stacks (TypeScript preferred; Python or Ruby a plus)
• Deep understanding of cloud infrastructure, data systems, and system design
• Proven ability to balance hands-on execution with team leadership

What Makes You Stand Out

• You enjoy being close to the code while leading others
• You’ve built systems that operate at scale with high reliability
• You’ve thrived in fast-paced, high-growth environments
• You bring strong technical judgement and a collaborative leadership style

What You’ll Get

• Top-of-market compensation (up to $300K base + meaningful equity)
• Opportunity to own critical infrastructure at a scaling company
• High visibility with leadership and real influence on technical direction
• A strong engineering culture with a focus on quality and impact

Apply

If you’re a hands-on engineering leader ready to build and scale critical systems while developing top talent, we’d love to hear from you

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Marketing Analyst (CRM & Customer Analytics)
Swindon (Hybrid – up to 3 days in office)
£45,000-£50,000

We’re hiring a Marketing Analyst to join a growing team, focusing on CRM, customer analytics, and campaign performance.

This is a highly commercial role where you’ll work closely with CRM and Product teams, using data to understand customer behaviour, optimise campaigns, and drive better outcomes.

The role:

• Analyse CRM and customer data to support segmentation and targeting
• Evaluate campaign performance and provide actionable insights
• Identify trends across marketing channels and customer behaviour
• Support A/B testing and experimentation (approx. 30% of role)
• Collaborate with stakeholders to influence marketing and product decisions

What we’re looking for:

• 2-3 year’s experience in marketing, CRM, or customer analytics
• Strong SQL skills (essential)
• Experience with segmentation, CLV, churn, or campaign analysis
• Exposure to A/B testing / experimentation
• Strong communication skills-able to turn data into clear insights
• Python or R is a bonus
• Retail or consumer-facing background is advantageous

BENEFITS

The successful candidate will receive a salary of £45,000-£50,000, alongside a competitive benefits package. This includes hybrid working (up to 3 days in office), strong development opportunities, and the chance to work in a data-driven team focused on customer insight and marketing performance.

HOW TO APPLY

Please register your interest by sending your CV to Keji Adebari via the Apply link on this page!

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Senior Data Analyst
London (Hybrid)
Up to 80k

This is a high-impact analytics role where you will shape commercial strategy across international markets. You will move beyond standard reporting to deliver meaningful insights that influence senior decision-making, with clear ownership of projects and the opportunity to work with a wide range of stakeholders.

The Company
They are a well-established, consumer-focused organisation operating at scale across multiple markets. With a strong customer base and a growing analytics capability, they are investing in data to drive smarter commercial decisions. The business has access to a rich set of untapped data and is focused on translating insight into practical outcomes. This is an environment that values curiosity, initiative, and clear communication.

The Role
You will take ownership of customer analytics and commercial insight projects, partnering closely with senior leaders across the business.

• Deliver customer segmentation and behavioural analysis to inform strategy
• Analyse churn, retention, loyalty, and customer lifetime value to drive growth
• Evaluate marketing and campaign performance, including ROI and optimisation opportunities
• Identify trends in customer behaviour and recommend targeted actions
• Work with large and complex datasets, bringing together multiple data sources
• Present clear insights and recommendations to stakeholders including MDs and Directors
• Explore new data opportunities such as location, device, and customer service data
• Lead short-term insight projects that deliver tangible business value

Your Skills and Experience

• Strong experience in customer analytics within a consumer/retail or subscription business
• Advanced SQL skills, including querying large datasets and joining multiple sources
• Experience using Python or R for analysis and modelling
• Strong commercial mindset with the ability to turn data into actionable insight
• Experience analysing churn, retention, loyalty, and marketing performance
• Confident communicator, comfortable working with senior stakeholders
• Proactive and self-sufficient, with a focus on delivering practical solutions

What They Offer

• Hybrid working model based in London
• Exposure to senior stakeholders and strategic projects
• Opportunity to shape the analytics function and influence business direction
• Long-term opportunities for progression and potential mentoring responsibilities

Please apply with your CV.

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Marketing Analyst
Swindon – Hybrid
Up to 50k

This is an opportunity to join a data driven, consumer focused business where marketing decisions are led by experimentation and customer insight. The role stands out for its strong focus on segmentation, testing strategy, and improving customer lifetime value across both digital and offline channels.

The Company
They are a well established organisation operating across multiple customer touchpoints, combining digital and physical experiences. Their marketing function is highly collaborative, with a clear emphasis on data led decision making and continuous optimisation. They are investing in advanced analytics capabilities to better understand customer behaviour and drive sustainable growth. The environment is fast paced, commercially focused, and centred around measurable impact.

The Role
You will work closely with marketing and CRM teams to drive performance through experimentation, audience strategy, and deep customer analysis.

• Develop and refine customer segmentation to improve targeting and personalisation across acquisition and CRM
• Design, run, and evaluate experiments to optimise campaigns, messaging, and audience strategies
• Build frameworks to measure incrementality and understand true marketing impact
• Analyse customer behaviour across the lifecycle to identify opportunities to increase retention, frequency, and value
• Identify high value customer segments and support strategies that maximise customer lifetime value
• Partner with channel teams to optimise performance across paid media and CRM
• Use SQL to analyse large datasets and generate actionable insights
• Translate complex results into clear recommendations that influence marketing decisions

Your Skills and Experience

• Strong commercial experience in marketing or customer analytics
• Expertise in customer segmentation
• Experience designing and evaluating experiments, including A/B testing and incrementality
• Solid understanding of customer lifetime value and lifecycle strategy
• Proficiency in SQL
• Desired experience using Python or R for analysis
• Experience working with marketing data across channels such as paid media and CRM
• Ability to communicate insights clearly to both technical and non technical audiences
• A proactive, test and learn mindset with strong attention to detail

What They Offer

• 3 days in office in Swindon
• Opportunity to shape experimentation and segmentation strategy within a growing analytics function
• Progression opportunities within a data led business

How to Apply
If you are interested in applying, please submit your CV to learn more about this opportunity.

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BI Manager
London | £90,000 to £100,000

This is a high impact BI Manager role for a commercially driven organisation where data and analytics sit at the heart of growth. You will take ownership of business intelligence, acting as the key link between markets, stakeholders, and engineering teams, with clear scope to shape BI standards and progress into leadership as the function scales.

The Company

They are a fast growing, private equity backed business that has invested heavily in digital, data, and analytics as core growth levers. Over recent years, they have built out strong data governance, analytics, and engineering capabilities and continue to report year on year growth. The data function is highly regarded internally and externally, with analytics viewed as a critical driver of future value across international markets.

The Role

You will be the senior BI specialist in the business, combining hands on delivery with strong stakeholder engagement.

Key responsibilities include:

• Partnering closely with market teams to understand commercial plans, propositions, and reporting needs
• Translating business requirements into scalable and well governed BI solutions
• Acting as the bridge between business stakeholders and backend engineering teams
• Owning Power BI datasets, semantic models, and core metrics
• Building and maintaining DAX measures and robust data models
• Producing interim reporting directly from Databricks where required
• Consolidating dashboards into a small number of standardised Power BI apps
• Defining and enforcing a clear set of key metrics at market level

The role is split roughly 50 percent hands on BI development and 50 percent stakeholder and communication focused work.

Your Skills and Experience

To succeed in this role, you will bring:

• Strong SQL capability, with confidence working across complex datasets
• Deep Power BI experience including datasets, DAX, data modelling, and app deployment
• Comfort working with Databricks and broader backend or ETL style data concepts
• Strong communication skills, able to explain data clearly to both technical and non technical audiences
• Confidence engaging directly with senior stakeholders and international markets
• A balance of hands on delivery with ownership, influence, and accountability

What They Offer

• Salary between £90,000 and £100,000 depending on experience
• High visibility role with real ownership and autonomy
• Opportunity to define BI standards across multiple markets
• Clear pathway into BI leadership and management as the team grows
• Broad exposure across analytics, digital, and commercial functions

How to Apply

Apply now to find out more about this BI Manager opportunity and how it could shape the next stage of your career.

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BI MANAGER
LONDON/HYBRID
UP TO £100,000

This is a high impact Lead BI Developer/Manager opportunity within a fast growing, commercially driven organisation where data, analytics, and digital are central to long term strategy. You will take ownership of BI capability, shaping how insights are delivered across international markets while building a scalable and governed reporting environment.

ROLES AND RESPONSIBILITIES:
The Lead BI Developer/BI Manager will:

• Work closely with market teams to understand commercial plans and reporting requirements
• Translate business needs into scalable Power BI solutions and data models
• Act as the bridge between business stakeholders and backend engineering teams
• Own and develop Power BI datasets, semantic models, and DAX measures
• Deliver interim reporting directly from Databricks where required
• Consolidate multiple dashboards into a curated suite of Power BI apps
• Define and standardise core metrics across markets
• Support the shift to self service BI and improved data governance

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong SQL capability, able to work confidently with complex datasets
• Advanced Power BI experience including data modelling, DAX, and dataset ownership
• Knowledge of Databricks or similar modern data platforms
• Understanding of ETL concepts and backend data processes
• Excellent communication skills with the ability to engage both technical and non technical stakeholders
• Experience working in commercially driven environments
• Ability to balance hands on delivery with strategic input and ownership

APPLY BELOW!

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Marketing Analyst

Salary: Up to £50,000
Location: Swindon (3 days per week in office)

We’re looking for a commercially minded Marketing Analyst to join a growing digital and customer team. This role is focused on driving marketing performance through data-led insights, experimentation, audience analysis, and customer segmentation across both eCommerce and retail channels.

You’ll work closely with marketing and CRM teams to optimise acquisition, retention, and customer engagement strategies, helping shape smarter decision-making across paid media and lifecycle marketing activity.

Key Responsibilities

• Analyse marketing campaign performance across paid search, paid social, CRM, and other channels

• Design and evaluate A/B and incrementality tests to improve campaign effectiveness

• Build customer audiences and segmentation strategies to drive engagement and retention

• Identify trends and opportunities within customer and transactional data

• Support attribution and measurement approaches to improve marketing investment decisions

• Partner with cross-functional teams to translate insights into actionable optimisation strategies

About You

• Strong SQL skills and experience using Python or R for analysis

• Experience working with marketing, customer, or eCommerce datasets

• Understanding of experimentation, statistical testing, and marketing measurement

• Commercially minded with a strong analytical and problem-solving approach

• Excellent communication skills with the ability to influence stakeholders

Desirable Experience

• Retail or eCommerce experience

• Exposure to platforms such as GCP, Snowflake, or Databricks

• Understanding of customer lifecycle, retention, and lifetime value metrics

This is a great opportunity for someone who enjoys combining analytics, experimentation, and commercial thinking to drive measurable business growth.

Find out more and apply via the link below.

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Associate Director, AI Transformation & Learning

Chicago, IL (Hybrid) | Up to $300,000 Base + Bonus

One of the world’s leading professional services organizations is building a next-generation Data & AI function and seeking a highly strategic leader to drive enterprise-wide AI adoption, literacy, and transformation.

This role sits at the intersection of AI, product, organizational change management, learning, and executive stakeholder engagement.

You will help shape how thousands of professionals adopt, understand, and leverage AI technologies in their daily workflows while helping establish best practices for responsible and effective AI utilization across the enterprise.

What You’ll Be Doing

• Designing and executing enterprise AI adoption strategies
• Building AI learning and enablement programs
• Creating communities of practice and AI champion networks
• Developing practical guidance around AI tools and workflows
• Partnering with senior leadership on AI transformation initiatives
• Driving measurable adoption and engagement outcomes

Ideal Background

• Direct experience building, implementing, or operationalizing AI products
• Strong understanding of generative AI, LLMs, workflow automation, and emerging technologies
• Experience driving AI adoption, enablement, or organizational transformation initiatives
• Exceptional communication and executive presentation skills
• Ability to translate complex technical concepts into practical business applications
• Experience working with sophisticated stakeholder groups in complex organizations

We are specifically seeking candidates with direct AI product build and implementation experience, not purely advisory or conceptual AI exposure.

Compensation: Up to $300,000 base salary plus bonus

This is a rare opportunity to help shape one of the most ambitious enterprise AI transformation initiatives currently underway while working alongside senior leadership in a highly visible, high-impact capacity.

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Head of Analytics (FS)
London (on-site 3 days per week)
£90,000 to £150,000 – dependent on level

This is a senior leadership role at the centre of an organisation-wide shift towards insight-led decision-making and AI-enabled analytics. You will shape how analytics operates as a shared service, influencing strategy while remaining hands-on.

The Company
They are a data-driven organisation undergoing significant transformation across analytics, reporting, and decisioning. With a strong commercial focus, they are investing in modern data platforms, automation, and AI to improve how insight is generated and used. Analytics plays a critical role in supporting growth and executive decision-making.

The Role

• Lead a centralised Analytics and MI function operating as a shared service
• Balance strategic leadership with hands-on analytics delivery
• Move the function from reporting to actionable, commercial insight
• Embed AI tools and automation into analytics workflows
• Oversee scalable data, reporting, and governance foundations
• Line manage decisioning capability and oversee platform migration
• Influence senior stakeholders across Finance, Marketing, and leadership teams

Your Skills and Experience

• Strong leadership experience within analytics or MI functions
• Proven ability to turn data into clear commercial recommendations
• Confidence influencing senior stakeholders, including C-suite
• Hands-on capability with SQL and ideally Python
• Experience with modern data stacks and BI tools
• Practical exposure to AI tools within analytics environments

What They Offer

• Salary of £90,000 to £150,000
• Bonus
• Private health insurance
• Pension scheme
• 25 days holiday
• High visibility role with significant influence and progression

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