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Senior Data Scientist – End-to-End Machine Learning & Behavioural Data

This organisation are seeking an experienced Senior Data Scientist to join their dynamic team. This role focuses on end-to-end productionising of machine learning models and leveraging behavioural data to drive actionable insights and innovative solutions.

The ideal candidate has a strong background in applied machine learning, including hands-on experience with Natural Language Processing (NLP), and is comfortable taking projects from concept through to production. They thrive in a collaborative environment, translating complex data into meaningful business outcomes and working closely with cross-functional teams to implement scalable solutions.

Key Responsibilities:

• Develop, deploy, and maintain end-to-end machine learning models, ensuring robust production performance.
• Analyse and derive insights from behavioural data to inform business decisions.
• Apply NLP techniques to extract value from text-based datasets.
• Collaborate with engineering and product teams to integrate models into live systems.
• Continuously monitor, evaluate, and optimise models to maintain accuracy, efficiency, and scalability.

Qualifications & Experience:

• Proven experience in end-to-end machine learning development and model deployment.
• Strong background in behavioural data analysis.
• Hands-on experience with NLP, including text preprocessing, embeddings, and relevant model architectures.
• Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with cloud-based ML infrastructure and MLOps best practices.
• Excellent problem-solving skills and the ability to communicate complex findings to non-technical stakeholders.

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Senior Full Stack / Front-End Engineer (TypeScript, AI Agents)

Location: Remote / Hybrid

Type: Full-time

Level: Senior

The Role

The company is seeking a Senior Full Stack / Front-End Engineer to help build intelligent, AI-powered products. The engineer will focus on delivering high-quality user interfaces while working across the stack to integrate AI agents and LLM-driven systems. This role suits someone who values frontend craftsmanship, system thinking, and product ownership.

Responsibilities

• Design, build, and maintain scalable front-end applications using TypeScript
• Develop full-stack features that integrate AI agents, LLM APIs, and external services
• Collaborate closely with product, design, and AI teams to translate complex AI behaviour into intuitive user experiences
• Implement robust application architecture, state management, and data flows
• Ensure performance, accessibility, and maintainability across the codebase
• Participate in technical decision-making and contribute to engineering best practices
• Mentor and support other engineers as the team grows

Requirements

• 5+ years of experience as a Full Stack or Front-End Engineer
• Strong proficiency in TypeScript and modern JavaScript
• Extensive experience with frameworks such as React, Next.js, or similar
• Backend experience using Node.js, Python, or equivalent
• Experience integrating REST and/or GraphQL APIs
• Strong understanding of frontend architecture, performance, and UX principles
• Ability to work effectively in fast-paced, ambiguous environments

Desirable Experience

• Hands-on experience with AI agents, LLMs, or prompt-based systems
• Familiarity with streaming responses, tool calling, or multi-step agent workflows
• Experience working with real-time or event-driven systems
• Exposure to design systems, accessibility standards, or data-heavy interfaces
• Previous experience in startup or high-ownership teams

What the Company Offers

• The opportunity to work on products at the forefront of AI and user experience
• High-impact role with ownership over core features and technical direction
• Collaborative, low-ego engineering culture
• Competitive salary and equity package
• Flexible working arrangements

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SENIOR CREDIT RISK MANAGER

£110,000

LONDON

THE COMPANY

This is an exciting opportunity with a leading UK FinTech that focus on harnessing data to enhance their lending decisions. This business have been growing in recent years and are now in an excellent position. This role offers the chance to work closely with the data science team to drive impact across their lending strategies and broader business profitability.

THE ROLE

• Analysing trends in lending portfolios to drive insight and enhance business performance
• Monitor and adjust lending strategies across the customer lifecycle to enhance profitability and decisioning
• Collaborating with the data science team to drive model performance and implementation of innovative machine learning models
• Leading the incorporation of new data sources to enhance and improve decisioning

YOUR SKILLS AND EXPERIENCE

• Previous experience in and knowledge of SQL and Python is essential
• Experience in developing lending strategies in a consumer lending environment
• Experience monitoring a lending portfolio and customer trends
• STEM degree from a Russell Group University

SALARY AND BENEFITS

• Base salary of up to £110,000
• Hybrid work model
• Company equity
• Broader company benefits including international trips

HOW TO APPLY

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

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ML ENGINEER

UP TO £80,000 + BENEFITS

HYBRID – CHESTER

If you’re an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You’ll be joining a growing organisation at a key moment in its AI journey, with real ownership and influence from day one.

THE COMPANY:

I’m working with a fast-growing business that’s investing heavily in data, AI, and modern cloud platforms to drive smarter commercial decisions and build customer-facing AI products.

With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing.

THE ROLE:

This is the first dedicated ML / AI Engineering hire, sitting at the intersection of Data Science, Engineering, and Product. The role exists to ensure machine learning models are deployable, monitored, retrained, and production-ready as AI initiatives scale across the business.

Key responsibilities include:

• Operationalising ML models, including deployment, monitoring, retraining, and drift detection
• Acting as the bridge between Data Science and Engineering to productionise models
• Supporting a broad range of AI and ML initiatives, including:
• Revenue management and pricing optimisation
• Customer-facing AI products using LLMs and AI agents
• Churn prediction and revenue forecasting
• Defining and implementing ML best practices, CI/CD pipelines, and coding standards
• Improving reliability, scalability, and observability of production ML systems

YOUR SKILLS AND EXPERIENCE:

A successful ML / AI Engineer will bring:

• Hands-on experience deploying and maintaining ML models in production
• Experience with CI/CD in a production environment
• Cloud experience (Azure preferred; Microsoft Fabric exposure is a plus)
• Ability to communicate effectively with Data Scientists and Product teams
• Experience with customer, marketing, or personalisation data is beneficial

THE BENEFITS:

You will receive a salary of up to £80,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

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

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SENIOR BI ANALYST

UP TO £65,000

LONDON

THE ROLE:

This is a great opportunity to step into a role where your work genuinely shapes how customers interact with the business. Sitting within a dedicated Insights function, you’ll partner directly with Customer Experience teams to uncover what influences satisfaction, why users reach out for support, and where the biggest wins sit across the journey.

You’ll take ownership of everything from building scalable data products, to digging into behaviour trends, to helping teams understand the “why” behind performance. It’s a blend of hands-on analytics, problem-solving, and storytelling – all aimed at improving experience at scale.

WHAT YOU’LL BE DOING:

The Senior BI Analyst will:

• Owning and developing dashboards that bring CX performance to life
• Rebuilding reporting into a more scalable, reliable setup
• Creating robust data pipelines that turn raw sources into usable insight
• Structuring datasets so teams across the company can self-serve effectively
• Supporting CX leaders with analysis, investigations, and clear recommendations
• Spotting opportunity areas and validating where changes will have the most impact
• Measuring the results of new initiatives and surfacing what’s working – and what isn’t
• Running root-cause analysis when performance shifts unexpectedly
• Managing multiple stakeholders and switching context without losing momentum

YOUR SKILLS AND EXPERIENCE:

The ideal Senior BI Analyst will have the following skills and experience:

• Strong SQL and confidence working with big, messy datasets
• Experience with Looker, Tableau or similar tools
• Comfortable building ETL processes (bonus if you’ve used dbt)
• Able to move between different workstreams and stakeholders with ease
• Commercially minded – you want your work to drive change
• Curious, detail-driven and eager to keep learning
• Experience in a marketplace, P2P platform or mobile-first environment would be advantageous

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Senior Data Governance Analyst

Amsterdam, The Netherlands

Salary up to 80k

THE COMPANY

This international organisation are looking for a Senior Data Governance Analyst to work within their growing Data team. Since their establishment they have won multiple awards and are now looking to grow their data function. This is a really exciting opportunity to be part of a greenfield working environment and work across a variety of projects.

THE ROLE

In this you will be instrumental in developing and implementing a comprehensive data governance framework. You will collaborate with cross-functional teams to define data policies, standards, and procedures, ensuring adherence to regulatory requirements and industry best practices. This is an exciting opportunity for a seasoned data governance professional who is passionate about shaping the data landscape of a forward-looking organization.

Responsibilities:

• Develop and implement a robust data governance framework, including policies, standards, and procedures.
• Collaborate with stakeholders to define and document data quality standards and metrics.
• Establish and enforce data governance best practices to ensure data integrity, security, and compliance.
• Lead efforts to classify and categorize data assets, and implement access controls based on sensitivity.
• Oversee data stewardship programs, ensuring accountability for data quality and ownership.
• Collaborate with IT and business units to implement and monitor data governance initiatives.
• Stay current on industry trends, regulations, and emerging technologies related to data governance.

Qualifications:

• Bachelor’s or Master’s degree in Information Management, Data Science, or a related field.
• Proven experience in data governance, data management, or a related role.
• In-depth understanding of data governance principles, practices, and industry standards.
• Familiarity with regulatory requirements related to data, such as GDPR, HIPAA, or other industry-specific standards.
• Strong communication and interpersonal skills, with the ability to influence and drive change.
• Experience in implementing data governance tools and technologies is a plus.

Benefits:

• Fantastic benefits on offer

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DATA ENGINEER

LOCATION: London (Remote)

SALARY: £110,000 + Equity

Shape the future of AI safety by building data pipelines that handle massive scale, your work will power innovation across research and production

THE OPPORTUNITY

The company is a fast-growing AI safety organisation focused on building the reliability and optimisation layer for AI systems. Its core platform uses natural-language policies to define what AI models should and shouldn’t do, automatically testing and enforcing these rules at scale. Backed by $11M in funding from leading investors and senior figures at major AI and tech firms, the company processes over 100 million API calls monthly.

It also fine-tunes and trains its own large language models to deliver faster and more cost-effective performance than open or proprietary alternatives. The team is small, highly focused, and committed to solving hard problems with real-world impact. Employees enjoy a collaborative environment where work ships quickly to production and directly influences the future of AI safety.

ROLE AND RESPONSIBILITY

This role focuses on designing and building scalable data pipelines and environments to handle petabytes of logs, events, and model outputs. You’ll develop internal APIs and tools that enable engineering and research teams to access data seamlessly without infrastructure complexity. Responsibilities include optimising performance for analytics workloads and enforcing governance, permissions, and security policies.

Strong proficiency in SQL and Python is essential, along with experience in modern data stacks such as Snowflake, ClickHouse, and event streaming technologies. Familiarity with dashboarding tools like Metabase or Tableau is a plus. This is an opportunity to make a significant impact in a fast-paced, AI-driven environment with competitive salary, equity, and relocation support.

INTERVIEW PROCESS

1. CV Review and Introductory Conversation
2. Technical Interview – Deep Technical Conversation
3. Product Interview – Evaluating Communication and Collaboration with ML

Apply today and be part of shaping the future of AI safety!

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Data Engineer

Salary: Up to £55,000

Experience: 2-3 years

Location: Liverpool

Overview

I’m working with a growing, data-driven organisation looking for a Data Engineer to join their engineering team. This is an excellent opportunity for someone with a strong computer science background who enjoys building reliable data pipelines and working with modern cloud-based data platforms.

You’ll work closely with analytics and engineering teams to develop scalable, well-structured data solutions using modern tooling and best practices.

Key Responsibilities

• Design, build, and maintain data pipelines and transformations
• Work with cloud-based data platforms to support analytics and reporting needs
• Develop and optimise SQL-based data models
• Contribute to orchestration and scheduling using workflow tools
• Build and deploy containerised and serverless data solutions
• Apply software engineering fundamentals to data engineering challenges

Technology Stack

• Snowflake
• dbt
• Airflow
• SQL (strong focus)
• Cloud platforms (AWS, Azure, or GCP)
• Containers and Function Apps
• SQLMesh (or similar data transformation frameworks)

Requirements

• 2-3 years’ experience as a Data Engineer or similar role
• Strong SQL skills
• Experience working in a cloud environment
• Solid understanding of data engineering principles
• Computer Science or related technical degree
• Familiarity with data modelling and transformation tools (dbt preferred)
• Exposure to containers and serverless/function-based architectures
• Good communication skills and a collaborative mindset

Nice to Have

• Experience with Snowflake in production
• Exposure to Airflow orchestration

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Credit Strategy & Analytics Director

Up to £150,000

Hybrid

London

About the Company:

I am hiring a Credit Strategy Director for a leading lending fintech based in London. Within this role, you will be leading a team and setting up the strategies for existing customer management, to support the increase of profitability for their credit cards portfolio using tools like Python and SQL daily.

About the Role:

As a Credit Strategy Director, you will be:

• Driving insight for credit risk strategy using Python and SQL
• Detecting new trends on customer data to help increase business revenue
• Analysing both internal and external data to make strategic changes impacting growth and revenue
• Building out and leading a Credit Strategy function focusing on the ECM strategy
• Developing credit risk strategies across existing customers, like credit limit increase and decrease strategies
• Using SQL and Python daily for strategy development for the credit cards portfolio

Responsibilities:

To be successful as a Credit Strategy Director, you will need:

• Experience developing credit strategies for ECM.
• Experience working with unsecured credit portfolios
• Ideally experience working on Credit Cards
• Experience managing and leading a team for credit strategy
• Experience working with SQL and/or Python
• STEM Degree from a top university

Benefits

Up to £150,000 + Benefits

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Senior Credit Strategy Manager

Up to £110,000

Hybrid

London

About the Company:

I am hiring a Credit Strategy Manager for a leading lending fintech based in London. Within this role, you will be developing strategies for existing customer management, to support the increase of profitability for the portfolio using tools like Python and SQL daily.

About the Role:

As a Senior Credit Strategy Manager, you will be:

• Driving insight for credit risk strategy using Python and SQL
• Detecting new trends on customer data to help increase business revenue
• Analysing both internal and external data to make strategic changes impacting growth and revenue
• Developing credit risk strategies across existing customers, like credit limit increase and decrease strategies
• Using SQL and Python daily for strategy development for the credit cards portfolio

Responsibilities:

To be successful as a Senior Credit Strategy Manager, you will need:

• Experience developing credit strategies for ECM.
• Experience working with unsecured credit portfolios
• Ideally experience working on Credit Cards
• Experience developing credit risk strategies for existing customers
• Experience working with SQL and/or Python
• STEM Degree from a top university

Benefits

Up to £110,000 + Benefits

To Apply for this Job Click Here

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DATA ENGINEER

£45,000-50,000 + BENEFITS

LIVERPOOL (Hybrid)

This is great company for an ambitious Data Engineer looking to be able to take real ownership and manage and optimise the data infrastructure.

THE COMPANY:

Working with this Martech company, you will be able to work on finding customers at the early stage of the cycle, and turn them into leads.

THE ROLE:

A Data Engineer will need to:

• Work closely with stakeholders across the business
• Design and implement ETL pipelines
• Managing data infrastructure

YOUR SKILLS AND EXPERIENCE:

A successful Data Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholders
• Strong experience in SQL/Python
• Experience with a Cloud
• Data modelling/warehousing experience

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £50,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

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

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LEAD MODEL VALIDATION ANALYST

COMPETITIVE SALARY + BENEFITS

LONDON

A Lead Model Validation Analyst position to join a well-established UK financial technology and lending platform that provides fast, data-driven financing solutions. The company, headquartered in London, has grown into a leading provider in their sector, leveraging technology and analytics to streamline access to credit. This position will play a key role in independently reviewing and validating a range of financial models to ensure robustness, accuracy, and regulatory compliance within a high-performing risk and analytics team.

THE ROLE

You can expect to be involved in the following day to day:

• Independently review and validate key models including mostly scorecards and some IFRS9 models, assessing conceptual soundness, data quality, and technical implementation.
• Partner closely with model development and business teams to identify model risks and drive timely remediation actions.
• Provide oversight of ongoing model performance monitoring, including back-testing, stability analysis, and recalibration activities.
• Produce clear, well-structured validation documentation and reports, communicating findings, limitations, and recommendations to senior stakeholders.
• Ensure validation activity and model documentation align with internal governance standards and relevant regulatory expectations.
• Contribute to the ongoing development and enhancement of the model risk management and validation framework in line with industry best practice.
• Proactively identify control weaknesses or emerging risks and take ownership of driving practical, effective solutions.

SKILLS AND EXPERIENCE

• Experience using Python
• Experience in validation (scorecards preferred but generally open)
• Experience working within a FCA regulated company
• A strong university degree in a numerate discipline

HOW TO APPLY

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

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