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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.

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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.

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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

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DATA ENGINEER
UP TO £50,000
LONDON

This is an exciting opportunity for a Data Engineer to join a technology-driven organisation. You’ll have the chance to build modern data platforms from the ground up, support AI-focused initiatives, and work across a range of high-profile client projects. You’ll play a key role in shaping the future of the data engineering capability.

THE COMPANY

Our client is a well-established organisation operating at the intersection of data, technology and customer experience. They partner with a range of global brands to deliver innovative, data-led solutions across analytics, marketing and digital transformation. You’ll join a collaborative team working closely with Data Science and business stakeholders to solve complex data challenges.

THE ROLE

Responsibilities include but are not limited to:

• Build and maintain modern data platforms and scalable data pipelines
• Develop cloud-based data solutions
• Support AI-enabled initiatives and emerging data products
• Help establish engineering best practices
• Support data modelling, reporting and analytics requirements

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience with Python, SQL and cloud-based data platforms is essential
• Experience in marketing, advertising or media sectors is highly desirable
• Strong communication skills and ability to engage with stakeholders
• Experience with Snowflake, Microsoft Fabric and/or BigQuery is highly desirable

SALARY AND BENEFITS

• Up to £50,000 base salary
• Contributory pension scheme

HOW TO APPLY

Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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Senior Analytics Consultant
Location: UK Remote (1x month in London) | Salary: up to £60,000

This is an opportunity to join a highly commercial analytics function where data products directly influence business decisions. Rather than sitting within a traditional IT team, you will work closely with senior stakeholders to solve complex challenges, build scalable analytical solutions, and create products that deliver long-term value across the organisation.
The Company
They are a growing professional services organisation investing heavily in data and analytics to support strategic decision-making and business growth. Their analytics team operates as a business-embedded function, partnering directly with commercial and operational leaders to develop impactful solutions. With a flexible and distributed working model, they foster collaboration, ownership, and continuous improvement. The environment is fast-paced, varied, and focused on delivering practical outcomes rather than technical complexity for its own sake.
The Role
You will:

• Partner with senior stakeholders to translate complex business challenges into actionable analytical solutions.
• Own the end-to-end delivery of analytical products, from initial discovery through to deployment and adoption.
• Design and develop reusable frameworks, templates, libraries, and components that enable scalable delivery.
• Build analytical tools and applications using Python and modern data product development practices.
• Create solutions that are maintainable, configurable, and easily adopted by a wider team.
• Collaborate with both technical and non-technical audiences, communicating insights clearly and effectively.
• Contribute to development standards, governance processes, and best practices.
• Support and mentor colleagues through knowledge sharing, peer reviews, and technical guidance.

Your Skills & Experience
You will have:

• Strong commercial experience delivering analytical products from concept through to business adoption.
• Advanced Python development skills within analytics, data science, or decision-support environments.
• Experience building reusable tools, frameworks, or data products used by multiple stakeholders.
• Knowledge of technologies such as Python, Git, Azure DevOps, Docker, Terraform, Shiny for Python, Streamlit, Dash, R, or similar platforms.
• Excellent stakeholder management and communication skills.
• A consulting-style approach with the ability to work across varied business problems.
• Experience operating in fast-moving environments with changing priorities.
• Confidence working independently while collaborating effectively within distributed teams.

What They Offer

• The opportunity to work closely with senior decision-makers and influence business strategy.
• Exposure to a broad range of analytical challenges and high-impact projects.
• Clear opportunities to shape team standards, frameworks, and ways of working.
• Ongoing professional development and career progression within a growing analytics function.

How to Apply
If you are an experienced Analytics Consultant with strong Python expertise and a passion for building impactful data products, apply today to find out more about this exciting opportunity.

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DATA SCIENTIST – CUSTOMER ANALYTICS

London (Hybrid, 2 days per week) | Up to £65,000

Looking to broaden your data science experience across multiple industries? This is an opportunity to join a specialist analytics consultancy delivering end-to-end modelling projects for well-known organisations across sectors. You’ll combine hands-on data science with stakeholder engagement, working on projects that have real commercial impact.

The Company

They are a growing data and analytics consultancy with a strong focus on predictive modelling and customer analytics. With a collaborative team of experienced data professionals, they deliver advanced solutions using modern cloud and data platforms. Their project-based environment offers excellent exposure to a wide range of business challenges and industries.

The Role

• Develop predictive models to solve customer and commercial challenges
• Deliver projects across forecasting, customer segmentation, propensity modelling, and pricing analytics
• Build solutions using Python, SQL, Azure, and Databricks
• Present model outputs and insights to technical and non-technical stakeholders
• Work closely with clients and internal teams throughout the project lifecycle

Your Skills & Experience

• Strong commercial experience in data science and model development
• Advanced Python and SQL skills
• Experience building predictive, forecasting, segmentation, scorecard, or pricing models
• Experience working with stakeholders and communicating analytical findings
• Exposure to Azure and/or Databricks
• Consultancy experience is beneficial but not essential
• Strong academic background in a quantitative discipline

What They Offer

• Salary up to £65,000 depending on experience
• Hybrid working with 2 days per week in the London office
• Broad exposure to projects across multiple industries
• Strong technical environment focused on data science and modelling
• Clear opportunities for professional development and progression

How to Apply

Apply today to learn more about this Data Scientist opportunity.

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LEAD RISK REPORTING ANALYST
London (Hybrid) | Up to £85,000

This is an excellent opportunity to join a growing financial services business investing heavily in data, analytics, and reporting transformation. You’ll play a key role in portfolio and impairment analytics while helping modernise reporting capabilities through Power BI, automation, and the adoption of new technologies.

The Company

They are a well-established specialist financial services organisation with a strong track record of growth and profitability. Their analytics function is central to business decision-making, with dedicated teams across credit risk, IFRS 9 modelling, and validation.

The Role

• Deliver portfolio and impairment analytics to support credit risk decision-making
• Develop and enhance Power BI dashboards and reporting solutions
• Automate reporting and analytical processes to improve efficiency
• Generate insights into portfolio performance and credit trends
• Support the migration of reporting processes from SAS to modern BI tools
• Collaborate with stakeholders across Risk, Finance, and Analytics

Your Skills & Experience

• Strong commercial experience in credit risk, portfolio analytics, or impairment analytics
• Proven experience building Power BI dashboards from scratch
• Experience automating reporting and analytical processes
• Strong SAS and SQL skills
• Understanding of IFRS 9 and credit risk reporting
• Ability to communicate insights to both technical and non-technical stakeholders
• Collaborative approach and strong professional drive

What They Offer

• Salary up to £85,000 depending on experience
• Hybrid working
• Exposure to a large-scale reporting transformation programme
• Opportunity to shape the future BI and analytics capability of the function
• Clear scope for progression and increased responsibility

How to Apply

If you have a background in credit risk analytics and a passion for BI, reporting, and automation, please apply to find out more.

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LEAD CREDIT RISK ANALYST

£65,000 – £70,000 | Cardiff

Join a growing lending business at an exciting stage of its evolution, where you’ll have the opportunity to shape credit strategy within a fast-growing portfolio. This is a highly visible role offering direct exposure to senior stakeholders, significant ownership, and the chance to make a tangible impact on customer outcomes, portfolio performance, and business growth.

THE COMPANY
This established financial services business is continuing to invest in and expand its consumer lending products. Operating within a collaborative and data-driven environment, the business combines the stability of a well-established organisation with the agility and pace of a growing lending portfolio.
As part of a wider transformation programme, the company is enhancing its decisioning capabilities, refining its credit strategies, and investing heavily in automation. This role offers the opportunity to play a key part in that journey.

THE ROLE

• Analyse approval, referral, arrears and default trends to identify key performance drivers and emerging risks
• Develop and optimise credit risk strategies to support sustainable portfolio growth
• Identify opportunities to improve automated decisioning processes and reduce manual referrals
• Review and enhance lending policies, underwriting controls and scorecard cut-offs
• Partner with Product, Underwriting, Commercial and Decisioning teams to influence business decisions
• Monitor the performance of strategy changes and provide recommendations for continuous improvement
• Present data-driven insights and recommendations to both technical and non-technical stakeholders
• Play a key role in a major transformation programme focused on improving customer outcomes and operational efficiency

YOUR SKILLS AND EXPERIENCE

• Strong commercial experience within Credit Risk Strategy
• Experience within motor finance, consumer lending, personal loans or a similar lending environment
• Experience improving acceptance strategies, lending limits, underwriting controls and decisioning rules
• Advanced SQL skills
• Strong analytical skills with the ability to translate data into actionable business recommendations
• Excellent stakeholder management and communication skills
• Experience presenting insights to senior audiences
• Python experience is advantageous but not essential
• UK lending experience is required
• Previous scorecard modelling experience would also be beneficial

SALARY AND BENEFITS

• £65,000 – £70,000 base salary
• Annual bonus
• Hybrid working with Cardiff office attendance once or twice per week
• Sponsorship available for the right candidate
• Pension scheme
• Dedicated training and development budget
• Book purchasing scheme
• Regular team socials and collaborative working environment
• Strong opportunities for career development and progression

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

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Data Scientist
Windsor (Hybrid, 3-4 days in office) | Up to £60,000
This is an exciting opportunity for a Data Scientist to join a growing organisation investing heavily in data, analytics, machine learning, and AI. You’ll work on projects that have tangible business impact, helping to build advanced analytical solutions, automate processes, and shape the organisation’s data science capability from an early stage.
The Company
They are a well-established organisation undergoing a significant data and digital transformation. With a strong focus on leveraging data to improve operational efficiency and support strategic decision-making, they are building modern analytics and AI capabilities across the business. The environment is collaborative, hands-on, and offers the opportunity to influence how data science is applied across multiple functions.
The Role
You will work closely with senior stakeholders to design and deliver machine learning, forecasting, and data science solutions that drive measurable business outcomes.
Key responsibilities include:

• Developing and deploying machine learning models for classification, forecasting, identity resolution, and business process automation.
• Designing and implementing scalable data models within a Snowflake data warehouse environment.
• Building analytical solutions and data products that support reporting, applications, and AI initiatives.
• Creating and maintaining Power BI data models, dashboards, and reporting solutions.
• Supporting the development of production-ready data science solutions through Azure DevOps CI/CD processes.
• Monitoring model performance, testing outputs, and ensuring high standards of data quality and governance.
• Collaborating with business stakeholders to understand requirements and translate them into technical solutions.
• Contributing to AI and automation initiatives, including the integration of large language models and AI-driven workflows.
• Supporting data governance, security, and compliance requirements across analytical projects.

Your Skills & Experience

• Strong commercial experience in data science, advanced analytics, or related disciplines.
• Experience developing machine learning models and deploying analytical solutions into production environments.
• Strong knowledge of Python and statistical modelling techniques.
• Experience working with Snowflake or similar cloud-based data warehouse technologies.
• Understanding of data modelling principles, including dimensional and star schema modelling.
• Experience with Power BI and data visualisation best practices.
• Familiarity with CI/CD processes, version control, testing, and software development lifecycle practices.
• Strong SQL and data manipulation skills.
• Knowledge of forecasting techniques and predictive analytics.
• Excellent communication skills with the ability to engage with technical and non-technical stakeholders.
• A proactive approach to problem-solving and delivering business value through data.

What They Offer

• Competitive salary and benefits package.
• Hybrid working model with a mix of office and remote working.
• Exposure to cutting-edge AI, machine learning, and analytics projects.
• The opportunity to work closely with senior leadership and influence data strategy.
• Clear opportunities for professional development and career progression.
• A collaborative environment where innovation and continuous improvement are encouraged.

How to Apply
If you’re a Data Scientist looking to work on impactful machine learning, AI, and analytics projects in a modern data environment, apply today through Harnham to find out more.

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Data Scientist
Windsor – 3-4 days per week
Up to £60,000

This is an exciting opportunity to join a growing organisation at a pivotal stage in its data and AI journey. You’ll play a key role in building a modern analytics capability from the ground up, helping to transform fragmented data into actionable insight while contributing to innovative machine learning, forecasting, and AI initiatives.

The Company
They are a well-established organisation undergoing significant growth and investment in data, analytics, and technology. With an ambitious transformation programme underway, they are modernising their data infrastructure and building a scalable cloud-based platform to support future growth.

Their focus is on improving decision-making through high-quality data, predictive analytics, and AI-enabled applications. Working in a small, collaborative team, you’ll have the opportunity to influence strategy, shape solutions, and see your work deliver tangible business impact.

The Role
As a Data Scientist, you will work closely with senior stakeholders to develop data products, analytical models, and AI-driven solutions that support both operational and commercial objectives.

Key responsibilities include:

• Designing and implementing scalable data models within a modern cloud data platform
• Improving data quality, standardisation, and reconciliation across multiple source systems
• Performing entity resolution and fuzzy matching to create trusted records and improve data integrity
• Developing forecasting models to support business performance, resource planning, and operational decision-making
• Building machine learning and predictive analytics solutions across a range of business challenges
• Supporting AI-driven document processing and information extraction initiatives
• Creating insightful Power BI dashboards and reports for senior leadership teams
• Working with Snowflake to support data warehousing and analytical modelling activities
• Contributing to data governance, testing, and quality assurance processes
• Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions

Your Skills & Experience

• Strong commercial experience in Data Science, Advanced Analytics, Analytics Engineering, or a similar field
• Excellent SQL skills and experience working with large, complex datasets
• Experience building data models for analytics and reporting
• Exposure to forecasting, predictive modelling, machine learning, or statistical analysis
• Experience working with data quality improvement, reconciliation, or fragmented datasets
• Knowledge of Power BI for reporting and stakeholder-facing analytics
• Experience working within modern cloud data environments, ideally Snowflake
• Understanding of data warehousing concepts and analytical data modelling
• Strong communication skills with the ability to engage business stakeholders
• STEM-related academic background

Desirable experience:

• Snowflake Cortex, AI applications, or document processing solutions
• Databricks or similar cloud analytics platforms
• CI/CD, Azure DevOps, or software development lifecycle processes
• Identity resolution, record matching, or master data management initiatives

What They Offer

• Opportunity to work on AI, machine learning, forecasting, and data platform projects
• Exposure to senior stakeholders and business-critical initiatives
• A collaborative environment where your work will directly influence business outcomes
• Clear opportunity to grow alongside a rapidly expanding organisation and analytics function

How to Apply
To find out more about this Data Scientist opportunity in Windsor, please submit your application today.

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Data Scientist
Berkshire (Hybrid, 3-4 days per week) | £50,000 – £60,000
This is an exciting opportunity for a Data Scientist to join a growing organisation that is investing heavily in its data and analytics capabilities. You’ll play a key role in building trusted data foundations, improving data quality, and delivering AI and predictive analytics solutions that support both operational and commercial decision-making.
The Company
This organisation is undergoing a significant data transformation, modernising its technology stack and centralising data within a cloud-based platform. With ambitious growth plans and substantial investment in analytics, they are looking to use data more effectively to drive performance, automate processes, and enable better business decisions.
Working in a small, collaborative team, you’ll have the opportunity to influence the direction of the data function and work across a diverse range of projects spanning data engineering, analytics, machine learning and AI.
The Role
You will work closely with senior stakeholders to improve data quality, build robust analytical solutions, and help shape the organisation’s data strategy.
Key responsibilities include:

• Cleaning, reconciling and standardising data from multiple source systems
• Developing scalable data models to support reporting, analytics and machine learning initiatives
• Performing entity resolution and fuzzy matching to improve data accuracy and consistency
• Building dashboards and reporting solutions for business stakeholders
• Supporting AI-driven document processing and automation projects
• Developing forecasting and predictive analytics solutions to support operational planning
• Working with complex datasets to identify trends, risks and opportunities
• Contributing to a modern cloud-based data platform and best-practice data governance processes

Your Skills & Experience

• Strong commercial experience with SQL and data modelling
• Experience working with complex, fragmented or low-quality datasets
• Knowledge of data quality improvement, reconciliation and master data challenges
• Experience building analytical, forecasting or machine learning models
• Exposure to Snowflake would be highly beneficial
• Experience developing reporting and dashboards in Power BI
• Strong stakeholder engagement and communication skills
• STEM degree or other highly quantitative academic background

What They Offer

• £50,000 – £60,000 salary
• Hybrid working arrangement with 3-4 days per week in the office
• Opportunity to work on AI, machine learning and predictive analytics projects
• Exposure to modern cloud technologies and data platforms
• Significant scope to shape the data function and influence technical direction
• Strong career development opportunities within a growing business

How to Apply
If you are interested in this role, pleasae feel free to apply below.

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