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Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

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

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

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

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

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

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

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

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

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

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

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

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

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

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

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

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Marketing Effectiveness Manager

£80,000 – £90,000

United Kingdom – Fully Remote

If you’re passionate about proving what marketing spend really delivers and influencing strategic budget decisions through data, this is a unique opportunity to take ownership of a business-critical marketing measurement function. You’ll combine advanced analytics, experimentation, causal inference, and AI-driven ways of working to help shape commercial growth at scale.

The Company
This growing digital business operates in a highly data-driven environment where analytics is central to decision making. Their product has an engaged customer base, strong market traction, and ambitious growth plans.
The data team works closely with commercial stakeholders, giving analytics professionals a genuine seat at the table. You’ll join a collaborative and remote-first culture that values experimentation, curiosity, and rigorous thinking.

The Role
As a Lead Marketing Effectiveness Manager, you will be responsible for measuring marketing impact and helping stakeholders understand where investment drives the greatest return.
Responsibilities include:

• Own and develop the company’s Marketing Mix Modelling (MMM) capability using modern frameworks and methodologies
• Deliver clear recommendations on budget allocation, channel investment, and marketing efficiency
• Design and evaluate incrementality testing programmes across paid media and CRM channels
• Apply causal inference techniques including lift testing, geo-based experimentation, and holdout analysis
• Build and maintain customer lifetime value (LTV) models to support acquisition and retention decision making
• Partner closely with marketing teams to improve attribution, measurement, and performance reporting
• Translate complex analytical findings into actionable commercial recommendations
• Use AI-enabled approaches to accelerate experimentation, analysis, and insight generation while maintaining high analytical standards
• Act as a trusted expert on marketing effectiveness across the wider business

Your Skills & Experience

• Strong commercial experience in marketing measurement, marketing analytics, or growth analytics
• Hands-on experience with Marketing Mix Modelling, experimentation, incrementality testing, or causal inference methods
• Excellent understanding of statistical analysis, hypothesis testing, regression techniques, and experimental design
• Advanced SQL skills and strong Python capabilities for analytics and modelling
• Experience working with modern data platforms such as Snowflake, dbt, or equivalent cloud-based technologies
• Understanding of digital marketing platforms and attribution challenges across channels
• Experience building predictive, lifetime value, or customer-focused analytical models
• Ability to influence stakeholders and communicate technical concepts to non-technical audiences
• Comfortable working in a fast-paced, highly collaborative environment

What They Offer

• £70,000 – £90,000 salary dependent on experience
• Annual performance-related bonus
• Fully remote UK-based working
• Flexible working arrangements
• Private healthcare
• Enhanced pension contribution
• Generous annual leave allowance
• Remote working and home office support
• Structured opportunities to influence business strategy and shape marketing effectiveness capabilities
• A collaborative environment with strong opportunities for professional growth

How to Apply
Apply now to learn more about this Lead Marketing Effectiveness Manager opportunity and how you can make a direct impact on marketing strategy through advanced analytics, experimentation, and data science.

To Apply for this Job Click Here

To Apply for this Job Click Here

Title: Staff AI Engineer

Location: San Francisco, CA (Hybrid)

Compensation: Up to $280,000 + 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

• 10+ 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.

To Apply for this Job Click Here

To Apply for this Job Click Here

Title: Senior Machine Learning Engineer, Media Generation

Location: Remote

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded startup at the forefront of media generation and digital identity, building the infrastructure for the next generation of interactive, AI-powered experiences. Their platform enables developers and creators to generate fully customizable characters, digital assets, and AI companions, positioning them at the intersection of generative AI, gaming, and social platforms.

This is a high-impact role within a growing R&D team, focused on building cutting-edge machine learning systems for media generation. You’ll work on models that power character creation, digital fashion, and interactive experiences, helping define how users create and express themselves in digital environments.

What You’ll Do

• Design, train, and deploy ML models for high-quality image, video, and 3D asset generation
• Work across computer vision and graphics to generate meshes, textures, and motion
• Build and optimize generative models such as diffusion, GANs, and transformer-based architectures
• Integrate ML systems into user-facing creative tools and applications
• Collaborate with product, engineering, and creative teams to ship AI-powered features
• Manage ML infrastructure including datasets, experiments, and deployment pipelines
• Stay up to date with emerging research and apply new techniques to production systems

Requirements

• Master’s degree or higher in Computer Science, Machine Learning, Computer Vision, or related field
• 3+ years of experience in machine learning, computer vision, or computer graphics
• Strong Python skills and experience with frameworks such as PyTorch or TensorFlow
• Experience with generative models (diffusion, GANs, VAEs) and modern architectures (Transformers, ViTs, etc.)
• Solid understanding of 3D graphics, computational geometry, or related areas
• Experience working in cross-functional teams and communicating technical concepts clearly

Nice to Have

• Experience with 3D reconstruction, tracking, or geometry analysis
• Familiarity with neural rendering techniques such as NeRF or Gaussian Splatting
• Experience scaling ML models and optimizing training pipelines
• Background in distributed training, data pipelines, and experiment tracking
• Publications or contributions to research or open-source projects

If you’re interested in building next-generation generative AI systems at the intersection of media, gaming, and identity, this is a unique opportunity to help shape a rapidly emerging space.

To Apply for this Job Click Here

To Apply for this Job Click Here

Title: AI/ML Engineer (All Levels)

Location: Bay Area (Hybrid)

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded, high-growth Series B startup building the next generation of AI-native data infrastructure for Fortune 500 enterprises. With 3.5x revenue growth in FY’24 and 160% net revenue retention, they’re scaling fast and investing heavily in the AI engineering team that powers their core product.

This is a high-impact role where you’ll own the intelligence layer of the platform, making real architectural decisions around agent design, model selection, and evaluation strategy. Everything you build ships directly to customers; this is not a POC or internal tooling team.

What You’ll Do

• Architect multi-step AI agents end-to-end, covering problem decomposition, context retrieval, error recovery, and output quality
• Own RAG pipelines, vector and graph-based retrieval systems, and knowledge representations that let agents reason accurately over complex enterprise data
• Build the AI layer behind the platform’s core code generation capability, from prompt design and model selection through to fine-tuning and output validation
• Make production AI work at scale, balancing latency, throughput, and observability, and knowing when to optimize a model versus restructure a system
• Think in failure modes and evaluation strategy, not capability demos, and own the improvement loop

Requirements

• 4-6+ years of software engineering experience with meaningful AI/ML depth
• Proven experience building and shipping AI agents or coding agents in production
• Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs
• Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production
• Familiarity with AWS and Kubernetes for production AI deployment
• Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus
• Scale or Go experience is a bonus

If you’re a builder who thinks in failure modes, owns what you ship, and thrives in environments where last year’s best practice is already obsolete, this is a rare opportunity to have direct leverage on a product used by some of the world’s largest enterprises.

To Apply for this Job Click Here

To Apply for this Job Click Here

CRM Executive | Fashion Retail | London | Up to £35k

We’re working with a well-known British fashion retailer that is growing its CRM team and looking to hire a CRM Executive in London.

This is a great opportunity for someone with 1 to 2 years’ experience in CRM or email marketing and a genuine passion for retail.

The role will involve:

• Briefing, building, sending and reporting on email campaigns
• Supporting the development of the email plan using campaign and channel insight
• Working with key stakeholders to keep email messaging in line with the trading and marketing calendar
• Planning and running tests to improve engagement and revenue
• Identifying segmentation opportunities and building targeted audiences to increase retention and customer value
• Making sure email best practice is followed across all devices and templates
• Evaluating campaign performance and recommending improvements to newsletters and the wider email strategy
• Supporting weekly and monthly reporting, including weekly competitor analysis

We’re particularly interested in candidates with experience from retail, ideally fashion or beauty, though wider retail backgrounds will be considered.

You’ll need hands-on experience building emails and automations in an email platform (Ometria would be a bonus), as well as strong communication skills, commercial awareness and a problem-solving mindset.

We’re looking for someone who is passionate about CRM and keen to bring new ideas to the team. This role is moving quickly, so candidates on one month’s notice or less are preferred.

Salary: Up to £35k
Location: London (hybrid, 3 days a week in the office)

Find out more and apply via the link below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Digital Analytics Lead | Travel & Tourism | Remote | Up to £52k

We’re working with a well-known travel business. They’re looking to hire a Digital Analytics Lead on a fully remote basis.

This is a great opportunity for someone with 3+ years’ hands-on digital analytics experience, though strong candidates with 2 years will be considered. It’s a highly visible role, working across digital product, marketing, content, data science, BI and SEO teams.

The role will involve:

• Designing measurement frameworks so the organisation measures what really matters
• Turning broad business goals into clear, measurable targets
• Auditing existing data layers and identifying tracking gaps
• Writing clear technical specifications for external web agencies to implement
• Hands-on implementation, QA and governance in GA4 and Google Tag Manager
• Analysing onsite customer journeys and turning data into insight that shapes priorities
• Managing analytics agency relationships and supporting procurement
• Line managing and developing a Digital Analytics Implementation Specialist
• Contributing to emerging areas such as Generative Engine Optimisation (GEO)

We’re open on background, whether you come from agency or in-house, public or private sector.

You’ll need strong hands-on experience with Google Tag Manager and data layers, as this is essential. GA4 and BigQuery experience is also important. Custom JavaScript or HTML skills would be a big bonus.

You’ll also need strong stakeholder management and the confidence to work independently, as this person will be the go-to lead for digital measurement across the organisation.

Salary: Up to £52k + up to 11% pension
Location: Fully remote (office visits roughly once a quarter in London or Birmingham, with travel expensed)

The interview process is short, with just two stages, and they’re looking to interview as soon as possible.

If you have hands-on GTM and data layer experience and are open to a new opportunity, please apply below.

To Apply for this Job Click Here

To Apply for this Job Click Here

CRM Analyst | Consumer Brand | Hertfordshire | £35k + Bonus

We’re working with a household-name UK consumer brand that is investing heavily in CRM and digital. They’re looking to hire a CRM Analyst to join their growing CRM team in Hertfordshire.

This is a great opportunity for someone early in their career with solid SQL foundations and strong communication skills, who wants clear progression into Senior Analyst, CRM Management or BI roles.

The role will involve:

• Building campaign audiences and customer segments using SQL
• Monitoring and managing the CRM campaign schedule
• Working within Salesforce Marketing Cloud and Automation Studio
• Updating and amending audience selection queries
• Validating and cross-checking audiences before campaigns go live
• Supporting recurring and promotional campaigns, including campaigns with multiple versions and customer segments
• Managing requests for new audience segments from stakeholders
• Delivering basic campaign analysis and reporting

The CRM function is around 35 people and has grown significantly in recent years, with further hiring planned. Longer term, this person will become the go-to owner of CRM scheduling, coordinating campaign activity across the Strategy, Operations and Data teams.

We’re particularly interested in candidates with a STEM or data-focused degree and some exposure to SQL, whether through university, a placement, an internship or an early-career role.

You’ll need basic to intermediate SQL skills (joins, aggregations and GROUP BY), strong attention to detail and the ability to manage multiple priorities. CRM, marketing or Salesforce Marketing Cloud experience would be a bonus.
Strong communication and stakeholder management are essential, as this role involves working closely with teams across the business. The team is looking for someone who combines technical ability with real confidence in dealing with people.

Salary: £35k + Bonus
Location: Hertfordshire (hybrid, 3 days a week in the office)
Unfortunately, visa sponsorship is not available for this role.

If you have SQL skills from a data-focused background and are open to a new opportunity, please feel free to apply below for more information.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Credit Risk Analyst
Cardiff
£60,000 – £70,000

This is an opportunity to join a growing lending business at a pivotal stage of its journey. You’ll play a key role in shaping credit strategy, improving automated decisioning, and influencing business-critical lending decisions, all within a collaborative environment where your ideas and recommendations will have real impact.

The Company
They are an established UK consumer lending organisation with a strong data-driven culture and a focus on delivering fair customer outcomes. The business combines the stability of a successful financial services group with the agility of a growing lending function. With continued investment in technology, analytics, and decisioning capabilities, they offer an environment where innovation and continuous improvement are actively encouraged.

The Role

• Analysing approval, referral, arrears, and default trends to identify risks and performance opportunities
• Developing data-driven recommendations to improve credit strategies and business performance
• Enhancing automated decisioning processes and increasing operational efficiency
• Reviewing and optimising lending policies, scorecard cut-offs, and underwriting controls
• Monitoring the effectiveness of strategy changes and balancing growth, risk, and customer outcomes
• Producing management information, analysis, and insights for key stakeholders
• Working closely with Product, Underwriting, Commercial, and Decisioning teams to deliver strategic initiatives
• Supporting the implementation of strategy changes within decisioning systems

Your Skills & Experience

• Strong commercial experience in credit risk strategy within consumer lending
• Experience optimising acceptance strategies, lending limits, underwriting policies, or scorecard performance
• Strong analytical skills with SQL
• Python experience is advantageous
• Experience turning complex data into clear, actionable recommendations
• Excellent communication and stakeholder management skills
• Ability to influence decisions across both technical and non-technical audiences
• A commercial mindset with a strong understanding of risk management principles

What They Offer

• £60,000 – £70,000 base salary, with flexibility for exceptional candidates
• Annual bonus
• Dedicated training and development support
• Collaborative culture with direct access to senior stakeholders and decision-makers
• Team socials and networking opportunities
• Strong opportunities for career progression as the business continues to grow
• Comprehensive benefits package

To Apply for this Job Click Here