To Apply for this Job Click Here

Senior / Lead Analytics Consultant

Up to £90,000

London (1 day a month in office)

This is an opportunity to join a high-impact Strategic Data & Analytics team where analytics is embedded directly within the business. You’ll work on meaningful commercial challenges, develop analytical products used across the organisation, and play a key role in shaping how data-driven decision-making is delivered at scale.

THE COMPANY

They are a growing, data-driven organisation that places analytics at the heart of commercial decision-making. Their Strategic Data & Analytics team partners closely with senior stakeholders, consultants, and client-facing teams to deliver products that create measurable business value. Rather than operating as a traditional IT function, the team focuses on solving real-world problems through data, analytics, and technology. You’ll join a collaborative environment where ownership, innovation, and practical delivery are highly valued.

THE ROLE

As a Senior / Lead Analytics Consultant, you will take ownership of analytical products from concept through to deployment and adoption.

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

• Partnering with senior stakeholders to translate complex business challenges into actionable analytical solutions
• Owning the end-to-end delivery of analytical products, from requirements gathering through to production deployment
• Designing and developing reusable frameworks, libraries, templates, and analytical tools
• Building scalable, maintainable solutions that can be adopted across multiple teams and use cases
• Collaborating with both technical and non-technical stakeholders to drive product adoption
• Contributing to development standards, best practices, and delivery processes
• Reviewing and supporting the work of colleagues within a collaborative team environment
• Working within modern software development and governance frameworks while helping shape future ways of working

SKILLS AND EXPERIENCE

The successful Senior / Lead Analytics Consultant will have the following skills and experience:

• Strong commercial experience delivering analytical products that drive business outcomes
• Excellent stakeholder management skills with the ability to engage senior leaders and non-technical audiences
• Proven experience taking solutions from ambiguous requirements through to sustained business usage
• Advanced Python development skills for analytics, modelling, or data product development
• Experience with analytical application frameworks such as Shiny, Streamlit, Dash, or similar technologies
• Strong understanding of software engineering best practices including version control and CI/CD principles
• Experience with tools such as Git, Azure DevOps, Docker, Terraform, or comparable platforms
• Ability to work effectively in a fast-paced environment with evolving priorities
• Strong communication skills and a collaborative, consultative mindset

BENEFITS

The successful Senior / Lead Analytics Consultant will receive the following benefits:

• Salary up to £90,000 – depending on experience

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

BI Developer (12-18 month FTC)

London (Hybrid – 3 days in office) | £50,000 – £60,000

An exciting opportunity has arisen for a BI Developer to join a growing data consultancy on a fixed-term contract. This role offers the chance to work on complex data integration and business intelligence projects for high-profile clients, helping organisations unlock greater value from their data. With exposure to a variety of technology environments and the opportunity to take ownership of delivery, this is an excellent role for someone who enjoys solving data challenges in a fast-paced, client-focused environment.

The Company

Our client is a specialist data and technology consultancy that helps organisations improve reporting, analytics, and decision-making through modern data solutions. They work with complex data environments, supporting clients with data integration, business intelligence, and data platform development.

The Role

• As a BI Developer, you will play a key role in designing, developing, and maintaining business intelligence solutions across a range of client projects.
• Responsibilities include:
• Developing and maintaining ETL pipelines and data integration processes
• Writing, optimising, and troubleshooting complex T-SQL queries and stored procedures
• Building and enhancing semantic and tabular data models
• Supporting SSAS cube development and DAX calculations
• Applying dimensional modelling and data warehousing best practices
• Collaborating with business and data analysts to translate requirements into technical solutions
• Investigating data issues and supporting users with technical queries
• Contributing to testing, quality assurance, and solution design activities
• Working within a consultancy environment where priorities and requirements can evolve

Your Skills & Experience

• Strong commercial experience with SQL Server and T-SQL development
• Experience building and maintaining ETL processes and data pipelines
• Solid understanding of data warehousing concepts and dimensional modelling
• Experience working with semantic models, tabular models, star schemas, Kimball methodologies, or similar data modelling approaches
• Exposure to SSAS, DAX, and BI solution development
• Experience working across different data architectures and technology environments
• Strong problem-solving and stakeholder communication skills
• Ability to work independently and adapt to changing priorities
• Python development or scripting experience
• Azure data platform exposure
• Consultancy or client-facing project delivery experience

What They Offer

• Salary of £50,000 – £60,000
• 12-18 month fixed-term contract
• Hybrid working model with 3 days in the London office
• Exposure to a wide range of client projects and data environments
• Ongoing learning and development opportunities, including certifications and training
• Private healthcare and enhanced pension contributions
• Clear opportunities to develop technical and consulting expertise
• Collaborative, high-performance culture with strong ownership and autonomy

Please note that sponsorship is not available for this position. Applicants must have the right to work in the UK without requiring current or future visa sponsorship.

How to Apply

If you’re an experienced BI Developer, apply below!

To Apply for this Job Click Here

To Apply for this Job Click Here

BI Engineer – 12 month FTC
London (Hybrid)
Up to £60,000

This is an excellent opportunity for a BI Engineer to join a growing data consultancy delivering complex data and analytics solutions for investment and financial services clients. You’ll work on challenging data integration projects, gain exposure to a variety of modern data environments, and develop both your technical and consulting skills within a collaborative, high-performing team.

The Company
They are a specialist data and technology consultancy that helps organisations build trusted, scalable data platforms. Their work focuses on data integration, analytics, reporting, and operational efficiency, enabling clients to make better decisions through high quality data. With continued growth and a strong project pipeline, they offer an environment where BI Engineers can take ownership, work closely with stakeholders, and develop their expertise across a range of technologies and client environments.

The Role
As a BI Engineer, you will play a key role in designing, developing, and supporting data solutions for client projects.
Responsibilities include:

• Building and maintaining ETL pipelines and data integration processes.
• Developing, optimising, and troubleshooting complex SQL Server and T-SQL solutions.
• Creating and enhancing semantic and tabular data models.
• Supporting SSAS cube development and DAX calculations.
• Applying dimensional modelling and data warehousing best practices.
• Working with analysts and stakeholders to translate business requirements into technical solutions.
• Investigating and resolving data quality and reporting issues.
• Supporting testing, quality assurance, and deployment activities.
• Collaborating across project teams to deliver scalable and reliable data solutions.

Your Skills & Experience
You will have strong commercial experience with:

• SQL Server and SQL development.
• ETL development and data pipeline engineering.
• Data warehousing principles and dimensional modelling.
• Star schema, Kimball methodologies, semantic models, and tabular models.
• DAX.
• Working within fast-paced delivery environments.
• Communicating effectively with both technical and non-technical stakeholders.
• Experience within a consultancy environment would be highly beneficial.
• Exposure to Azure data services, Data Vault modelling, or Python would also be advantageous.

To Apply for this Job Click Here

To Apply for this Job Click Here

Customer Analytics Manager
London (Hybrid, 2 days per week) | Up to £70,000 + Benefits

This is an exciting opportunity to join a growing customer analytics function at a major consumer-facing organisation undergoing significant transformation. Sitting within a newly established analytics squad, you will play a key role in shaping how customer insight drives commercial decision-making across loyalty, retention, profitability and customer growth initiatives.

The Company
They are a well-established retail and consumer business with a large customer base and a strong omnichannel presence. As they continue to invest in data, analytics and customer understanding, they are expanding a specialist team responsible for delivering strategic insight across the organisation.
The analytics function brings together expertise across customer analytics, data science, marketing analytics and digital analytics, creating a highly collaborative environment where insight has direct influence on business performance.

The Role
As a Customer Analytics Manager, you will lead the customer analytics agenda within a high-profile business initiative, helping stakeholders better understand customer behaviour and identify opportunities to drive growth and retention.
Key responsibilities include:

• Owning customer insight and analytics projects focused on retention, loyalty, profitability and customer lifetime value
• Delivering reporting, deep-dive analysis and actionable recommendations to senior stakeholders
• Developing customer segmentation, profiling and behavioural analysis to uncover commercial opportunities and risks
• Applying advanced analytical techniques including clustering, regression analysis, predictive modelling and campaign measurement
• Translating complex analytical findings into clear, compelling business narratives
• Partnering with stakeholders across multiple business functions to support data-driven decision-making
• Contributing to the ongoing development of analytics capabilities and customer insight programmes

Your Skills & Experience

• Strong commercial experience in customer analytics, customer insight or CRM analytics
• Advanced SQL skills and experience working with large customer datasets
• Proven experience creating impactful visualisations and stakeholder-facing reporting
• Expertise in analytical techniques such as segmentation, clustering, predictive modelling, regression analysis and campaign measurement
• Strong communication skills with the ability to influence non-technical stakeholders
• Experience using Python or PySpark is advantageous
• Previous mentoring or team leadership experience would be beneficial

How to Apply
If you are a customer analytics professional looking to combine strategic insight, advanced analytics and stakeholder engagement in a highly visible role, please apply today to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

LEAD CREDIT RISK REPORTING ANALYST
£65,000 – £85,000
LONDON

An exciting opportunity for a Credit Risk Analytics professional to join a growing financial services business. This role combines IFRS 9 reporting, Power BI development and credit risk analytics, offering significant exposure to senior stakeholders and the opportunity to influence key business decisions.

THE COMPANY
A specialist financial services organisation investing heavily in its risk and analytics capabilities. They are building a best-in-class reporting function and are looking for an experienced analyst to support this growth.

THE ROLE

• Deliver credit risk and portfolio reporting to senior stakeholders
• Support IFRS 9 and expected credit loss reporting
• Develop and enhance Power BI dashboards and reporting solutions
• Analyse large datasets to identify trends, risks and opportunities
• Drive automation and reporting process improvements
• Investigate and resolve data quality issues
• Partner with Risk, Finance, Data and Modelling teams
• Support model monitoring and reporting activities
• Provide analytical insight to support strategic decision-making

YOUR SKILLS & EXPERIENCE

• Strong experience in Credit Risk Reporting and Analytics
• IFRS 9 reporting and expected credit loss knowledge
• Advanced Power BI skills including DAX and data modelling
• Strong SQL and experience with Python, SAS or R
• Experience delivering analytical solutions and reporting improvements
• Strong stakeholder management and communication skills
• Experience working with complex datasets and reporting frameworks

• Model monitoring or validation exposure
• Mentoring or leadership experience

WHAT THEY OFFER

• £65,000 – £85,000 salary
• Annual bonus
• Pension
• Private healthcare
• Hybrid working
• Generous holiday allowance
• Strong career progression opportunities

HOW TO APPLY
Please register your interest by sending your CV to Rachael Lewis through the Apply link.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Machine Learning Engineer
London (Hybrid) | £110,000 – £120,000

This is an excellent opportunity for a hands-on Machine Learning Engineer who is keen to take the next step into leadership. You’ll continue building and deploying production-grade ML systems while gradually taking on team management responsibilities, offering the chance to shape both technical strategy and team growth.

The Company
A high-growth technology business with a strong focus on machine learning and data-driven decision-making. They are investing heavily in their ML capabilities and are looking for a technical leader to help scale their machine learning infrastructure, engineering best practices, and team capability. You’ll join a collaborative environment where engineering excellence and innovation are highly valued.

The Role
As a Lead Machine Learning Engineer, you will remain deeply involved in the technical delivery of machine learning solutions while mentoring a growing team.

Responsibilities include:

• Build and maintain production-grade machine learning systems and pipelines.
• Remain hands-on with coding, code reviews, debugging, and deployments.
• Mentor and support a small team of Machine Learning Engineers.
• Establish machine learning engineering and MLOps best practices.
• Improve deployment, monitoring, and model lifecycle management processes.
• Collaborate closely with Data Science, Risk, Product, and Engineering teams.
• Contribute to technical roadmap planning and future hiring initiatives.

Your Skills & Experience

• Strong background as a Machine Learning Engineer.
• Experience deploying and maintaining machine learning models in production environments.
• Strong software engineering capabilities, including Python, APIs, and distributed systems.
• Good understanding of MLOps tooling, including CI/CD, monitoring, and pipeline management.
• Experience with tools such as MLflow, Airflow, Evidently, DVC, Docker, or Kubernetes.
• Experience working within AWS, GCP, or Azure environments.
• Previous mentoring or leadership experience with an interest in developing management responsibilities.

How to Apply
If you’re interested in combining hands-on machine learning engineering with a clear pathway into leadership, please apply with your CV for immediate consideration.

To Apply for this Job Click Here

To Apply for this Job Click Here

BI Engineer

Contract: 12 month FTC (possibility of going permanent)

Location: London | Working Pattern: Hybrid (3 days in the office)

I’m currently representing my client, who is looking for a BI Engineer to support the development of data models, ETL processes and reporting solutions, working closely with analysts and developers to deliver high-quality BI solutions.

The Role:

• Develop and maintain ETL processes, data warehouses and SSAS cubes.

• Build and enhance data and semantic models, including advanced DAX calculations.

• Write and optimise SQL queries and stored procedures.

• Support testing, quality assurance, bug fixing and data validation.

• Troubleshoot data issues and support client queries.

• Collaborate with analysts and developers to deliver scalable, reliable BI solutions.

The Requirements:

• Strong SQL Server and T-SQL development experience.

• Experience with SSAS multidimensional and Tabular models, including DAX.

• Knowledge of ETL processes, data warehousing and dimensional modelling.

• Familiarity with Azure data services and modern data platforms.

• Experience with data validation, testing and quality assurance.

• Understanding of established BI development standards and architectural patterns.

What Will Make You Stand Out:

• Experience with Data Vault and Kimball modelling methodologies.

• Programming or scripting skills.

• Strong problem-solving abilities and a proactive approach to troubleshooting.

• Experience supporting junior developers through knowledge sharing and peer reviews.

If you are interested in the role please apply. To follow up please message me on email or LinkedIn.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Analyst

This is an opportunity to join a PE-backed business building its data and analytics capability. You’ll work across data science, machine learning, and data modelling projects that support operational and commercial decision-making.

They are investing in data, AI, and cloud technologies to improve processes and support growth. The analytics team works closely with stakeholders across the business to deliver reporting, forecasting, and machine learning solutions.

The Role
You will:

• Clean, transform, and prepare data from multiple sources
• Build and maintain data models within a cloud data platform
• Develop predictive models for workforce, occupancy, and operational forecasting
• Work with Snowflake or Databricks to support analytics and machine learning use cases
• Create features and datasets for modelling and reporting
• Deploy and monitor machine learning models
• Support data quality, governance, and documentation
• Partner with stakeholders to identify and deliver analytical solutions

Your Skills & Experience

• Strong Python skills, commercial experience in advanced analytics
• Experience with data wrangling and data cleaning
• Experience designing and maintaining data models
• Experience working with Snowflake and/or Databricks
• Knowledge of predictive modelling, forecasting, and classification techniques
• Experience working with cloud-based data environments
• Ability to work with both technical and non-technical stakeholders

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Fullstack Software Engineer

Location: Cambridge, MA (Hybrid) – 3 Days Onsite

Compensation: Up to $180,000 Base + Equity

If you’re excited by the opportunity to build technology that directly improves patient outcomes, this is a chance to join an early-stage healthcare AI business at a pivotal stage of growth. You’ll work across the full stack, helping to shape a patient-facing platform that combines clinical data, AI-driven insights, and intuitive user experiences to support long-term care and recovery.

The Company

This fast-growing healthcare technology startup is transforming how patients are supported beyond treatment by combining artificial intelligence, clinical data, and modern care delivery workflows. Backed by significant investment and operating at the intersection of healthcare, data, and product innovation, they are building technology that enables more personalised and proactive patient care.

With a lean, highly collaborative engineering team, the organisation offers the opportunity to make a visible impact, influence technical decisions, and take ownership of major product initiatives from an early stage.

The Role

As a Senior Fullstack Software Engineer, you will play a key role in building and scaling patient-facing applications and the underlying platform that powers them.

Key responsibilities include:

• Designing, building, and shipping full-stack product features across web and mobile applications
• Developing backend services and APIs that support patient workflows and clinical operations
• Creating intuitive frontend experiences using modern React-based technologies
• Integrating healthcare and clinical data systems into product workflows
• Building AI-enabled functionality including intelligent recommendations and workflow automation
• Collaborating closely with product, design, clinical, and engineering stakeholders
• Contributing to architecture decisions and platform scalability
• Taking ownership of features from concept through deployment and ongoing optimisation

Your Skills & Experience

You will bring:

• Strong commercial experience as a Fullstack Engineer delivering production software
• Expertise with Python and Django backend development
• Strong frontend development experience using React
• Experience building and shipping customer-facing products at scale
• Strong API design and systems integration knowledge
• Experience working within regulated or complex data environments
• Ability to operate independently in a fast-paced, high-growth environment
• Strong stakeholder communication and product collaboration skills

Desirable experience includes:

• Healthcare, healthtech, telehealth, or EMR integration experience
• Mobile application development experience
• Exposure to AI products, LLM integrations, or intelligent workflow systems
• Experience working with patient-facing digital products

What They Offer

• Opportunity to work on meaningful healthcare challenges with real-world impact
• High levels of ownership and autonomy
• Exposure to AI, healthcare data, and product engineering at scale
• Clear progression opportunities as the engineering function grows
• Collaborative, product-led culture with direct influence over technical direction
• Hybrid working environment with flexibility for the right candidate

How to Apply

To learn more about this opportunity, apply today with your latest CV for a confidential discussion!

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Engineering
Location: Cambridge, MA (Hybrid, 4 days onsite)
Compensation: $250,000 to $270,000 base + 20% bonus + equity

This is an opportunity to join a well-funded HealthTech startup at a pivotal stage of growth. As Director of Engineering, you will play a key role in building the engineering organisation, shaping technical strategy, and scaling products that have the potential to improve healthcare outcomes through the application of machine learning and clinical data.

The Company
They are a venture-backed technology company operating at the intersection of healthcare, machine learning, and real-world data. Their mission is to improve how complex diseases are detected, monitored, and understood through innovative technology and data-driven insights.

Having secured significant early-stage funding, they are now scaling their platform, team, and engineering capabilities. This is a rare opportunity to join at a formative stage and directly influence the company’s technical foundations, culture, and long-term success.

The Role
As Director of Engineering, you will combine hands-on technical leadership with people management and delivery ownership. Working closely with senior leadership, Product, and Engineering teams, you will help create the processes, systems, and culture needed to support continued growth.
Key responsibilities include:

• Lead, mentor, and develop a high-performing engineering team
• Manage engineering delivery, sprint planning, backlog prioritisation, and execution
• Partner with Product and technical stakeholders to deliver scalable solutions
• Contribute directly to production code and complex engineering initiatives
• Architect and evolve backend systems, cloud infrastructure, and application platforms
• Establish best practices across CI/CD, testing, observability, and engineering operations
• Drive engineering standards, technical quality, and continuous improvement
• Support hiring, team growth, and organisational scaling initiatives
• Champion pragmatic adoption of AI-assisted development workflows
• Help build a collaborative and high-performing engineering culture

Your Skills & Experience

• Strong commercial experience leading software engineering teams
• Proven people management and coaching experience within engineering environments
• Excellent hands-on software development capabilities
• Strong Python development experience
• Experience building scalable backend systems and distributed applications
• Expertise with cloud platforms such as AWS or GCP
• Experience implementing and improving CI/CD pipelines and deployment practices
• Background working in startup or high-growth technology environments
• Strong understanding of engineering execution, delivery management, and technical decision making
• Ability to collaborate effectively across Engineering, Product, and leadership teams

Desirable experience:

• Healthcare, HealthTech, biotech, or regulated industry experience
• Experience with HIPAA, SOC2, or similar compliance frameworks
• Exposure to clinical data platforms or healthcare data systems
• React or React Native development experience
• Experience with AI products, AI agents, or AI-assisted software development
• Infrastructure or platform engineering expertise

What They Offer

• Opportunity to build and scale an engineering organisation from an early stage
• Direct access to executive leadership and strategic decision making
• Significant technical ownership and influence
• Clear progression opportunities as the company grows
• Hybrid working model based in Cambridge, MA

How to Apply
If you’re an experienced engineering leader who enjoys combining hands-on technical contribution with team leadership in a high-growth environment, apply today to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist
London (Hybrid) | £60,000 to £90,000

This is an exciting opportunity to join a fast-growing fintech business where data science sits at the heart of commercial decision-making. You’ll work on high-impact machine learning solutions that directly influence lending, risk, and business performance while collaborating with a highly skilled, data-driven team.

The Company
Our client is a high-growth financial technology organisation delivering innovative embedded finance solutions to businesses across multiple international markets. They have built a strong reputation for combining advanced technology with data-led decision-making. With ambitious growth plans and a collaborative culture, they offer an environment where data professionals can make a visible impact.

The Role
As a Senior Data Scientist, you will play a key role in developing machine learning and predictive analytics solutions that support critical business and risk decisions.
Responsibilities include:

• Analysing large and complex datasets to identify trends, patterns, and actionable insights.
• Building and deploying machine learning models to support forecasting, risk assessment, fraud detection, and customer outcomes.
• Developing predictive models that drive commercial and operational decision-making.
• Creating dashboards and visualisations to communicate findings to technical and non-technical stakeholders.
• Partnering with product, engineering, and commercial teams to embed data-driven solutions into products and processes.
• Working closely with data engineering teams to optimise data infrastructure and analytical workflows.
• Supporting best practices across machine learning operations and model lifecycle management.

Your Skills & Experience

• Strong commercial experience as a Data Scientist within a data-rich environment.
• Advanced Python and SQL skills for analysis, modelling, and data manipulation.
• Hands-on experience developing and deploying machine learning models.
• Strong understanding of predictive analytics and statistical modelling techniques.
• Experience translating complex analytical findings into clear business recommendations.
• Ability to work effectively with cross-functional stakeholders across technical and non-technical teams.
• Experience working with financial, lending, payments, or transactional data is advantageous.
• Strong problem-solving skills and the ability to navigate ambiguity in a fast-paced environment.

How to Apply
If you’re interested in applying advanced machine learning and data science techniques within a fast-growing fintech environment, please submit your CV for immediate consideration.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist
London 3 days a week

Join a fast-growing fintech that is investing heavily in its data science and risk capabilities. This role offers the opportunity to build impactful machine learning models from the ground up while working on business-critical challenges in lending and forecasting.

The Company
A profitable global fintech with strong growth, recent investment, and expanding international operations. They are continuing to scale their data and analytics function while modernising their technology and modelling infrastructure.

The Role

• Build and deploy machine learning models across the full lifecycle
• Develop and enhance Probability of Default (PD) models and scorecards
• Create revenue forecasting models using techniques such as XGBoost and CatBoost
• Partner with business stakeholders to solve complex commercial problems
• Support the evolution of data science infrastructure and best practices

Your Skills & Experience

• Strong commercial data science experience within fintech, lending, or financial services
• Experience with credit risk modelling and/or revenue forecasting
• Strong Python and SQL skills
• Experience with machine learning techniques, including boosting methods
• Ability to translate business problems into scalable data solutions

To Apply for this Job Click Here