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Data Analyst

Location: Miami, FL

Work Arrangement: Hybrid

Compensation: Up to $150K Base + Benefits

An established organization is expanding its analytics capabilities and is looking for a Data Analyst to help turn business data into meaningful insights and practical solutions.

You’ll work across reporting, analysis, data validation, and business intelligence, partnering with teams across the organization to understand questions, investigate data, and deliver clear recommendations.

This is a hands-on opportunity for an analytically minded professional who enjoys solving problems, working with stakeholders, and improving the way businesses use data.

What You’ll Work On

• Analyze business data to identify trends, opportunities, risks, and performance drivers
• Create and improve dashboards, reports, and analytical tools used by business teams
• Write and optimize SQL queries to support analysis and reporting
• Work with data from multiple sources and help create consistent, reliable datasets for analysis
• Investigate data discrepancies and develop checks to improve confidence in reporting
• Conduct ad-hoc analysis and translate findings into practical recommendations
• Partner with stakeholders to understand business questions and determine the appropriate analytical approach
• Help define metrics, reporting requirements, and analytical methodologies
• Maintain clear records of calculations, assumptions, business rules, and analytical processes
• Identify opportunities to improve existing reporting and analytical workflows
• Communicate findings to both technical and non-technical audiences

What We’re Looking For

• 2+ years of experience in Data Analytics, Business Intelligence, Data Science, or a related analytical discipline
• Strong SQL skills and experience working with relational or cloud-based data
• Experience creating business-facing visualizations using Tableau or a comparable BI platform
• Familiarity with modern data transformation practices and tools such as dbt
• Understanding of data modeling and how analytical datasets are structured
• Strong quantitative and problem-solving ability
• Excellent attention to detail and a strong focus on data accuracy
• Ability to explain analytical findings clearly and concisely
• Comfortable managing independent projects while working closely with business stakeholders
• Bachelor’s degree in a quantitative, technical, business, or related field preferred

The Opportunity

You’ll have the opportunity to work on projects that influence how teams understand performance and make decisions.

The role combines hands-on analysis, business partnering, reporting, and data problem-solving, giving you broad exposure to the organization’s data environment and the opportunity to develop both your technical and commercial skill set.

This is a strong opportunity for someone who wants meaningful ownership rather than simply producing routine reports.

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Head of AI Research

$300k-$350k

Overview

A mission-driven research organisation is seeking a Chief Scientist to lead its scientific strategy, research operations, and interdisciplinary research teams. Reporting directly to the Chief Executive Officer and serving as a member of the executive leadership team, this individual will oversee multiple research functions and ensure alignment between scientific objectives, organisational priorities, and long-term impact.
This role focuses on building and leading a high-performing research organisation rather than serving as an individual contributor. The successful candidate will bring deep expertise in artificial intelligence, substantial leadership experience, and the ability to integrate technical and scientific disciplines into a cohesive research strategy.

Key Responsibilities

Scientific Leadership & Strategy

• Define and oversee a multi-year scientific roadmap aligned with organisational mission and objectives.
• Ensure close collaboration between AI-focused research and domain science teams to drive meaningful scientific outcomes.
• Maintain high standards of scientific rigor, reproducibility, and research integrity.
• Monitor relevant developments in machine learning, computational science, behavioural research, and related disciplines, translating insights into strategic opportunities.

Research Organisation Leadership

• Lead, mentor, and develop senior research leaders and multidisciplinary teams.
• Design organisational structures, staffing plans, and growth strategies to support research priorities.
• Recruit and retain exceptional scientific and technical talent, particularly for senior leadership positions.
• Partner with programme and operational leaders to prioritise initiatives, allocate resources, and ensure effective execution.
• Foster an inclusive, collaborative, and high-performing research culture.

Executive Leadership

• Serve as a strategic partner to executive leadership on organisational direction and long-term planning.
• Align research priorities with fundraising, communications, and organisational initiatives.
• Present research strategy, progress, and key decisions to leadership, funders, boards, and external stakeholders.
• Support external communications by ensuring scientific findings and organisational priorities are accurately represented.

Financial Management

• Own research budget planning and spending within approved parameters.
• Develop and manage multi-year research budget forecasts in partnership with organisational leadership.
• Monitor expenditures and proactively identify significant budgetary changes or risks.

External Engagement

• Represent the organisation at scientific, industry, and professional events.
• Develop partnerships with academic institutions, government organisations, nonprofits, and research collaborators.
• Contribute to publications, thought leadership, and public-facing scientific communications.
• Expand external research networks through fellowships, internships, and academic outreach programmes.

Culture & Ethical Leadership

• Promote cross-functional collaboration and transparent knowledge sharing.
• Create an environment that values respect, inclusion, and diverse perspectives.
• Encourage participation from researchers at all levels in scientific planning and decision-making.
• Uphold strong ethical standards in research design, data usage, interpretation, and communication.

Required Qualifications

Education

• PhD in Machine Learning, Computer Science, Electrical Engineering, Computational Biology, or a closely related discipline.
• Strong scientific credibility and research accomplishments, though an active publication record is not required.

Experience

• 15+ years of experience spanning AI research, large-scale AI implementation, or a combination of both.
• Demonstrated success leading research organisations, technical teams, or advanced AI programmes.
• Significant experience evaluating research quality and managing senior researchers or technical leaders.
• Experience building teams, setting strategic direction, and maintaining scientific standards.
• Strong professional network within the AI research and technology community.
• Ability to recruit and develop senior-level scientific talent.

Technical Expertise

• Deep understanding of modern AI and machine learning methodologies.
• Familiarity with foundation models, large-scale model training, and production-scale AI systems.
• Experience assessing research quality across interdisciplinary environments.
• Understanding of quantitative scientific research methods and data-driven experimentation.

Leadership Skills

• Proven ability to lead complex, multidisciplinary research organisations.
• Strong organisational judgement and strategic decision-making skills.
• Excellent communication skills with executive, scientific, funding, and public audiences.
• Ability to bridge different research cultures and disciplines effectively.
• Passion for mission-oriented scientific research and long-term impact.

Preferred Qualifications

• Experience working in both academic and commercial research environments.
• Background applying AI to scientific or natural-world research domains.
• Familiarity with machine learning for audio, speech, computer vision, or related data modalities.
• Experience in nonprofit, research institute, mission-driven, or field-based scientific organisations.
• Knowledge of responsible AI frameworks and ethical research practices.

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DevOps Engineer

Up to £120,000

London (4-5 days a week in office)

This is an opportunity for a DevOps Engineer to work at the intersection of infrastructure engineering and AI technology within a high-performance environment. You will play a key role in building and scaling modern infrastructure platforms, with a particular focus on Kubernetes and on-premise environments that support business-critical workloads.

THE COMPANY

They are a globally operating investment and technology-driven organisation with a strong engineering culture. Their teams work closely with technical and business stakeholders to deliver robust, scalable infrastructure across a complex environment.

This role offers exposure to cutting-edge AI infrastructure initiatives while remaining firmly rooted in infrastructure and platform engineering. You will join a collaborative team that values technical excellence, automation, and continuous improvement.

THE ROLE

As a DevOps Engineer you will be responsible for designing, building, and supporting infrastructure and deployment platforms across predominantly on-premise environments.

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

• Building and supporting Kubernetes platforms and containerised workloads
• Developing and maintaining CI/CD pipelines using Jenkins and GitHub Actions
• Automating infrastructure through Infrastructure as Code using Puppet or Terraform
• Managing Linux environments, including security, patching, performance, and systems administration
• Creating automation solutions using Bash, Python, or PowerShell
• Supporting software delivery, release management, and source control processes
• Working closely with infrastructure, platform engineering, and business teams to deliver scalable solutions
• Contributing to projects involving AI and high-performance infrastructure environments

SKILLS AND EXPERIENCE

The successful DevOps Engineer will have the following skills and experience:

• Strong commercial experience within DevOps, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering
• Hands-on Kubernetes experience, including deployment and administration
• Proven experience working within on-premise infrastructure environments
• Strong Linux administration and troubleshooting skills
• Experience with Infrastructure as Code tools such as Puppet or Terraform
• CI/CD experience using Jenkins, GitHub Actions, or similar technologies
• Scripting experience with Bash, Python, or PowerShell
• Experience using Git-based source control tools
• Strong communication skills and the ability to work with both technical and non-technical stakeholders
• Experience working within Financial Services, Trading Technology or other regulated environments

BENEFITS

The successful Dev Ops Engineer will receive the following benefits:

• Salary up to £120,000 – depending on experience
• Up to 50% bonus

HOW TO APPLY

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

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Data Analyst II, Product Analytics
$78,000-$102,000

Overview

A growing consumer technology organisation is seeking a Data Analyst II to support product analytics, experimentation, and decision-making across a digital platform. This role will partner closely with product, engineering, and growth teams to analyse user behaviour, evaluate feature performance, and deliver actionable insights using event-level data.
The ideal candidate has experience working with consumer-facing mobile applications, product analytics tools, and A/B testing frameworks. This position is well suited to someone who enjoys translating complex data into clear business recommendations and helping teams make evidence-based decisions.

Key Responsibilities

• Design, execute, and analyse product experiments and A/B tests to inform roadmap and optimisation decisions.
• Develop and maintain product performance reporting using event-level user interaction data.
• Partner with product managers, engineers, and cross-functional stakeholders to define success metrics, measurement strategies, and KPIs.
• Investigate user behaviour patterns and identify opportunities to improve engagement, retention, and conversion.
• Create and maintain dashboards and self-service reporting solutions for business stakeholders.
• Collaborate with data teams to improve data quality, metric definitions, and analytical models.
• Communicate insights effectively through presentations, reports, and data storytelling.
• Promote a culture of experimentation and data-driven decision-making across the organisation.

Required Qualifications

• Bachelor’s degree in a quantitative discipline.
• Approximately 2 to 4 years of experience in data analytics, product analytics, or a related analytical role.
• Experience working within a direct-to-consumer digital product or mobile application environment.
• Understanding of mobile and subscription business metrics, including retention, customer lifetime value, cohort analysis, and engagement measurement.
• Hands-on experience with product analytics or event-tracking platforms such as Mixpanel, Amplitude, or comparable tools.
• Strong SQL skills and experience querying large-scale datasets.
• Experience using business intelligence and reporting platforms such as Looker, Tableau, Omni, or similar tools.
• Experience designing, monitoring, and evaluating A/B tests.
• Strong communication and stakeholder-management skills.
• Ability to work effectively in a fast-paced, evolving environment with ambiguous requirements.

Preferred Qualifications

• Experience working with modern cloud-based data platforms and analytics ecosystems.
• Exposure to tools and technologies such as:
  • BigQuery
  • dbt
  • Python
  • Mobile attribution platforms
  • Firebase or similar analytics frameworks
  • Cloud storage solutions
  • Agile project management tools

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SENIOR DATA ARCHITECT

Up to £90,000 + Benefits
Remote (UK)
This is a fantastic opportunity to join a major organisation undergoing a significant Azure Data Lakehouse transformation. You’ll take ownership of enterprise-wide data modelling and architecture, helping the business evolve from traditional reporting towards advanced analytics and data-driven decision making.

THE COMPANY:

This well-established UK professional services organisation has invested heavily in modernising its technology and data landscape, building a cloud-based Azure Data Lakehouse platform to support business-critical operations.

With thousands of employees nationwide and a strong reputation for delivering specialist expertise alongside exceptional client service, the business is embracing a data-driven culture and placing analytics at the heart of strategic decision making.

THE ROLE:

You will take ownership of the organisation’s data architecture strategy, ensuring alignment with the wider data vision while defining and governing data models, standards and semantic layers across the business.
Key responsibilities include:

• Designing and governing enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture.
• Creating scalable curated data models using dimensional modelling and Kimball methodologies.
• Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform.
• Managing logical and physical data models, metadata, business glossaries and data flows across the organisation.
• Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions.
• Providing architectural assurance for business-critical initiatives and ensuring alignment with data strategy and best practice.
• Acting as the organisation’s technical authority for data modelling, governance and architecture standards.
• Supporting the transition from operational reporting towards predictive and prescriptive analytics capabilities.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Enterprise Data Architecture and Data Modelling.
• Dimensional modelling, star schemas, fact and dimension modelling, and Kimball methodologies.
• Designing logical, physical and analytical data models across complex environments.
• Azure Data Lakehouse and Medallion Architecture environments.
• Semantic layer design and curated data model development.
• Data governance, metadata management and architecture standards.

THE BENEFITS:

You will receive a salary of up to £90,000 depending on experience.

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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DATA ENGINEER

Up to £70,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high-growth FinTech where you can take ownership of the data infrastructure and decisioning systems that power a live lending platform.

THE COMPANY:

Thisis a fast-growing FinTech lender entering an exciting growth phase, supported by new funding. Rather than relying solely on traditional credit scoring, the business uses a broader range of financial and income data to provide a more personalised lending experience.

THE ROLE:

You will take ownership of the infrastructure, pipelines and production processes that support the company’s credit decisioning platform.
Key responsibilities include:

• Designing, building and maintaining production data pipelines across the lending lifecycle
• Developing, deploying and maintaining AWS Lambda-based decisioning processes
• Building and improving ETL/ELT workflows that support analytics, reporting and credit decisions
• Managing APIs and data integrations across internal and external data sources
• Improving monitoring, reliability, testing, documentation and production controls

This is a unique opportunity to become a foundational engineering hire within a small, ambitious team where you will have genuine ownership and visibility across the business.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Python development
• AWS services including Lambda, EC2, CloudWatch and RDS
• SQL and database development, ideally with PostgreSQL
• Building, deploying and maintaining end-to-end production pipelines
• API development, integration and monitoring within live environments
• Experience within Lending, FinTech, Banking or Financial Services

THE BENEFITS:

You will receive a salary of up to £70,000 depending on experience, along with the opportunity to take ownership of a critical function within a rapidly scaling FinTech business.

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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Data Engineer
Location: Eindhoven, Netherlands
Salary: €60,000

This is an opportunity for a Data Engineer to join a growing organisation operating within the healthcare sector, helping to build data products that support better decision-making and improve outcomes at scale. You will work on modern cloud-based data platforms, collaborate with cross-functional teams, and play a key role in shaping a data-driven environment.

The Company
They are an innovative healthcare-focused organisation using data and technology to deliver meaningful impact across their services and operations. With a strong investment in data and analytics, they are continuing to expand their platform capabilities to support future growth. The business promotes collaboration, continuous learning, and the adoption of modern engineering practices. You will join a team where your work can directly contribute to improving processes and outcomes within a highly meaningful sector.

The Role

You will:

• Design, build, and maintain scalable data pipelines and ETL processes
• Develop and optimise cloud-based data solutions to support analytics and reporting
• Work closely with data analysts, data scientists, and business stakeholders to understand data requirements
• Ensure data quality, reliability, and governance across the data platform
• Support the migration and modernisation of data infrastructure where required
• Monitor and improve the performance of data workflows and systems
• Contribute to best practices in data engineering, automation, and documentation

Your Skills & Experience

• Strong commercial experience as a Data Engineer or in a similar data-focused role
• Hands-on experience with SQL and Python
• Experience building and maintaining ETL or ELT pipelines
• Knowledge of cloud platforms such as Azure, AWS, or Google Cloud
• Familiarity with modern data warehousing technologies
• Understanding of data modelling, data governance, and data quality principles
• Ability to communicate technical concepts effectively to a range of stakeholders
• Experience working with healthcare, clinical, patient, or regulated datasets is advantageous but not essential

What They Offer

• Salary of €60,000 depending on experience
• Performance-related bonus
• Hybrid working model based around Eindhoven
• Pension contribution and healthcare-related benefits
• Training budget and professional development opportunities
• Exposure to modern cloud and data technologies
• Clear opportunities for career progression within a growing data function

How to Apply
If you are a Data Engineer looking to make an impact in the healthcare sector while working with modern data technologies, please apply with your CV to discuss this opportunity further.

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Senior Fullstack Engineer

$150,000-$180,000

4 days/month on site in Houston

A fast-growing organisation is seeking an experienced Full Stack AI Engineer to design, develop, and deploy production-grade applications that combine modern software engineering with practical AI capabilities. This role is ideal for a software engineer who has evolved into AI-focused development and has hands-on experience integrating large language models, generative AI solutions, retrieval systems, and intelligent workflows into enterprise applications.

The successful candidate will own solutions across the full technology stack, from user interfaces and APIs to data pipelines and AI-enabled features. You’ll work closely with product, data, and engineering stakeholders to deliver scalable, business-focused solutions in a collaborative environment.

Key Responsibilities
Solution Design & Architecture

• Design and implement end-to-end applications spanning frontend, backend, data, and AI layers.
• Contribute to architecture decisions, technical reviews, and engineering standards.
• Develop scalable, secure, and maintainable systems suitable for enterprise environments.
• Create patterns and frameworks for AI-enabled application development.

Full Stack Development

• Build user-facing web applications, APIs, workflows, and data-driven solutions.
• Translate analytical and AI outputs into intuitive user experiences.
• Develop applications using modern frontend frameworks and Python-based backend technologies.
• Deliver responsive dashboards, data applications, and self-service tools that support business users.

AI & Intelligent Systems

• Implement AI-powered features such as conversational interfaces, semantic search, document processing, and workflow automation.
• Integrate LLMs, retrieval-augmented generation (RAG), agent-based systems, and AI services into production applications.
• Evaluate and select appropriate AI tools, frameworks, and platforms.
• Collaborate with data and machine learning teams to operationalise AI capabilities.

Data & Platform Integration

• Build and maintain data ingestion pipelines and integration workflows.
• Connect applications to data platforms, model endpoints, and enterprise data sources.
• Ensure data quality, reliability, scalability, and performance.
• Support AI memory systems, knowledge retrieval mechanisms, and data synchronisation processes.

Engineering Excellence

• Leverage AI-assisted development tools as part of daily engineering workflows.
• Implement CI/CD pipelines, automated testing, monitoring, and observability practices.
• Participate in code reviews and contribute to engineering best practices.
• Maintain high standards for security, documentation, testing, and software quality.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.
• 8+ years of professional software engineering experience.
• Minimum 5+ years of hands-on full stack development experience.
• Recent experience applying AI technologies within software products, including at least 2+ years working with practical AI implementations.
• Strong understanding of:
• Large Language Models (LLMs)
• Generative AI applications
• Agentic systems and AI workflows
• Retrieval-Augmented Generation (RAG)

• Experience building RESTful APIs and backend services.
• Strong frontend development experience using frameworks such as React, Angular, or similar technologies.
• Strong backend development experience using Python frameworks such as FastAPI, Flask, or Django.
• Experience working with cloud-native applications, with a preference for Google Cloud Platform (GCP).
• Experience with data-intensive applications and platform integrations.
• Hands-on use of AI-assisted coding tools within the software development lifecycle.
• Strong communication, collaboration, and stakeholder engagement skills.
• Experience operating in fast-paced environments with evolving requirements.

Preferred Qualifications

• Experience integrating LLMs, RAG frameworks, AI APIs, and intelligent agents into production environments.
• Experience with modern data platforms, lakehouse architectures, or large-scale data ecosystems.
• Background working in startup, scale-up, or small-to-mid-sized engineering teams.
• Experience with infrastructure-as-code, CI/CD automation, and cloud deployment practices.
• Familiarity with agile software delivery methodologies.
• Experience owning products and systems throughout their full lifecycle.
• Strong product mindset with a focus on usability and business impact.

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