data & AI
Diversity Report
DIVERSITY GUIDES 2022
An in-depth look into diversity within Data & AI, we have been carrying out primary research for a number of years to create annual diversity guides.
Download our previous editions, which have given us unrivalled insight into where the industry currently stands in its push for a more representative workforce.
They are here to highlight where the industry can improve, how it can improve and to help make those improvements.
USA DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
EU DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
UK DIVERSITY REPORT
Fundamentally, what you can do with your data and how useful it may be will hinge on its quality.
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AI Full Stack Developer
Remote
$50 - $80
+ Data Science & AI
ContractMaryland
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AI Full Stack Developer
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a premier data, AI, and marketing consulting firm that helps Fortune 1000 companies and Private Equity-backed businesses unlock transformational value through data, technology, and human expertise.
- Role: AI Full Stack Developer
- Location: Remote
- Pay: $50 – $80 per hour W2 only
- Length: Extendable 3 month initial contract
- Utilization: 40 hours/week
- Benefits: W2 employees are eligible for health, dental, vision, and 401(k) benefits.
As an AI Full Stack Developer, you will own architecture and delivery across multiple workstreams for Intelligent Applications. You will define best practices for forward-deployed AI engagements, establish engineering standards and quality controls, and mentor engineers across multiple teams. You will play a key role in operationalizing LLM and agent-based solutions, ensuring they are scalable, secure, observable, and production-ready.
Key Responsibilities:
- Lead multiple technical workstreams across frontend, API, and data layers, ensuring alignment, integration, and successful delivery.
- Define and implement reference architectures, engineering standards, testing frameworks, observability practices, and security controls.
- Drive data architecture and performance optimization decisions, including SQL performance tuning, indexing strategies, and data contracts.
- Build reusable development accelerators, including templates, scaffolds, CI/CD quality gates, and LLM/RAG reference frameworks.
- Partner with data engineering teams leveraging Databricks and/or Snowflake to ensure scalable and secure application integration.
- Establish containerization and CI/CD best practices, including release verification, environment parity, and deployment guardrails.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 6-8+ years of software engineering experience with demonstrated technical leadership.
- Strong expertise in full-stack development using React and/or Angular, Python services, and modern application architectures.
- Proven experience designing and deploying production-grade LLM applications, including RAG systems, tool integrations, evaluations, and governance frameworks.
- Experience implementing software engineering best practices, including testing, observability, CI/CD, and security standards.
- Experience with AI-assisted engineering governance, including verification workflows, secrets management, PII protection, and supply chain security.
- Nice to have: Experience with Databricks and/or Snowflake environments and agentic AI development frameworks.
If interested in a new opportunity, please apply below

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Full Stack AI Engineer
£500 - £560
+ Data Science & AI
ContractEngland
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SC Cleared Full Stack AI Engineer (Contract)
Outside IR35:£500-£560
Fully Remote
Immediate Start
This is an opportunity to work on high-impact AI applications within the defence and national security space. You will build full-stack AI prototypes and production-ready applications, working across LLMs, RAG, data, APIs and infrastructure in a highly secure environment.
The Company
They are a specialist organisation delivering advanced science, technology and AI capabilities within the UK defence sector. Their work focuses on applying emerging technology to complex, mission-critical challenges. They partner with specialist technology suppliers to develop secure AI solutions and applications. Due to the nature of the project, security clearance is an important requirement.
The Role and Deliverables
- Design and build full-stack AI applications across front-end, back-end, API and infrastructure layers.
- Develop solutions using Python, TypeScript, HTML and CSS.
- Build prototypes and progress AI solutions towards production-ready applications.
- Develop applications leveraging Large Language Models, RAG, vector databases, semantic search and knowledge graphs.
- Design data models across SQL and NoSQL technologies and contribute to application architecture.
- Deploy and operate LLM-based solutions within secure, air-gapped environments.
Your Skills & Experience
- Strong full-stack AI engineering capability, covering both front-end and back-end development.
- Strong Python and TypeScript skills, alongside HTML and CSS.
- Hands-on experience with LLMs, Retrieval-Augmented Generation and production AI applications.
- Experience with SQL, NoSQL, data modelling and API architecture.
- Knowledge of vector databases, semantic search and knowledge graphs.
- Cloud engineering experience, ideally with GCP, although AWS experience is also relevant.
- Experience with Docker and infrastructure supporting AI applications.
- Active SC clearance is highly desirable. Lapsed SC clearance may also be considered, subject to the project’s security requirements and BPSS checks.
How to Apply
If you are a SC Cleared Full Stack AI Engineer with experience building secure, production-focused LLM and RAG applications, apply to discuss the contract and project in more detail.

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Lead Data Engineer
New York
$70 - $80
+ Data Engineering
ContractNew York
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**Please note that we are not accepting candidate submissions from third-party recruiting agencies, staffing firms, or search firms for this opportunity. All candidates must apply directly.
Location: Remote (USA)
Term: 3 Months, extendable
Type: Contract
Hourly Rate: $70-$80/hr (Dependent on Experience)
This is an opportunity to join a growing data and analytics team on a contract assignment focused on building and scaling a modern cloud-based data platform. You will have the chance to shape data architecture, improve platform reliability, and deliver solutions that support analytics and business decision-making across the organization.
The Company
They are an organization investing in the continued growth of their data and analytic capabilities. Their focus is on creating scalable, cloud-native data solutions that improve access to high-quality data and support business performance. You will work within a collaborative environment that values automation, engineering best practices, and continuous improvement. This project offers the opportunity to contribute to a strategically important data platform initiative.
The Role and Deliverables
- Design and develop scalable data pipelines and workflows within a cloud-native environment.
- Build and maintain ingestion frameworks for structured and unstructured data sources.
- Develop data models and datasets to support analytics and reporting requirements.
- Create, optimize, and support ELT/ETL processes using modern data engineering practices.
- Automate orchestration, monitoring, and operational processes to improve platform reliability and efficiency.
- Collaborate with technical and business stakeholders to deliver scalable, high-quality data solutions.
Your Skills & Experience
- Strong experience with Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow, and Cloud Composer or comparable orchestration tools.
- Proven capability building scalable data pipelines and data ingestion frameworks.
- Advanced SQL and Python development skills.
- Strong understanding of data modeling, data warehousing, and analytics concepts.
- Experience designing, implementing, and optimizing ELT/ETL workflows.
- Familiarity with CI/CD practices, infrastructure automation, and software engineering best practices.
- Experience implementing data quality, monitoring, observability, and platform reliability processes.
- Ability to work effectively with both technical and non-technical stakeholders.
- Experience with dbt, Looker, or similar modern data tooling is beneficial.
- Strong problem-solving skills with a focus on ownership, collaboration, and continuous improvement.

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AI Full Stack Developer
New York
$50 - $70
+ Data Science & AI
ContractNew York
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AI Full Stack Developer
Remote, United States
This is an opportunity to join a greenfield AI initiative where a new engineering team is being built from the ground up to deliver intelligent applications at scale. The initial contract is for 3 months with a strong likelihood of extension, offering the chance to help shape AI development standards, production workflows, and platform architecture from the outset.
The Company
They are a data and AI-focused organization investing heavily in intelligent applications that bring AI capabilities into real-world business workflows. Their engineering environment is centered around modern cloud and data platforms, with a strong emphasis on security, governance, observability, and production readiness. The team is building scalable solutions that combine application development, data infrastructure, and emerging AI technologies.
The Role and Deliverables
- Build and deliver full stack AI applications with a strong focus on React-based front-end development and modern backend services.
- Integrate LLM and RAG capabilities into production products and internal platforms.
- Develop solutions that leverage AI tooling and workflows, including technologies such as Claude, Codex, and related AI development tools.
- Work across cloud, application, and data environments, supporting integrations with GCP-based infrastructure and Databricks or Snowflake platforms.
- Contribute to documentation, evaluation frameworks, governance processes, and human-in-the-loop workflows for AI systems.
- Collaborate with Data Engineers and AI Operations specialists to establish scalable, secure, and observable AI application architectures.
Requirements
- Strong experience developing full stack applications using React.
- Proven experience integrating LLM, RAG, or agent-based AI systems into production environments.
- Experience building AI-powered products and embedding AI tooling into engineering or business workflows.
- Familiarity with cloud-native development within GCP environments.
- Experience working with Databricks, Snowflake, or similar modern data platforms.
- Understanding of AI governance, evaluation frameworks, monitoring, observability, and human-in-the-loop processes.
- Strong documentation and technical communication skills.
- Ability to operate effectively within fast-paced, collaborative engineering teams.
This is an excellent opportunity for an AI Full Stack Developer who wants to help build a new AI engineering capability, work with modern AI technologies, and contribute to the delivery of production-grade intelligent applications alongside a growing team of AI, data, and platform specialists.

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Senior Econometrician
London
£50000 - £60000
+ Advance Analytics & Mrktg Insight
PermanentLondon
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Senior Econometrician
Up to £60,000
Hybrid – London
A great opportunity to join a leading marketing agency as a Senior Econometrician
THE COMPANY
The business are a leading marketing agency specialised in content creation, social campaigns and media measurement across the globe. Working with clients from various different sectors the business are now looking to grow out the team due to an influx of new projects – and are seeking to hire a Senior Econometrician to join their Measurement team.
THE ROLE AND RESPONSIBILITIES
- Supporting the team on econometrics projects including maintaining, running, and building MMM models from scratch
- Collecting, preparing and cleansing datasets from various sources
- Presenting key insights to clients and senior stakeholders
- Analysing marketing data and providing insights and recommendations to clients
- Support clients with optimising marketing and advertising spend
YOUR KEY SKILLS AND EXPERIENCE
- Proven track-record building MMM/Econometrics models from scratch
- Background in marketing analytics or customer analytics
- Strong technical experience
- Strong communication skills
THE BENEFITS
- Up to £60,000
- Hybrid
- London
HOW TO APPLY
If interested in the role please send your CV to Jordan Victor via the Apply Link below

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AI Full Stack Engineer (Contract)
London
£500 - £550
+ Data Science & AI
ContractLondon
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Full Stack AI Engineer (Contract)
MUST HAVE: SC Clearance
£500 – £550 Per Day
Outside IR35
Immediate Start
Fully Remote
The Company
They are a specialist technology organisation delivering AI, software engineering, and data solutions within secure and complex environments. Their work focuses on solving challenging technical problems using modern machine learning and cloud technologies. The team combines deep engineering expertise with a strong focus on innovation, deploying solutions that operate at scale in mission-critical settings.
The Role and Deliverables
- Design and develop full stack AI applications using Python and TypeScript.
- Build and enhance frontend interfaces, backend services, APIs, and application architectures.
- Develop and deploy LLM-powered solutions, including RAG pipelines and agentic AI applications.
- Integrate and manage SQL and NoSQL data stores, ensuring effective data modelling and system performance.
- Implement vector databases, semantic search capabilities, and knowledge graph solutions.
- Take AI products from proof of concept through to production-ready deployment, including secure infrastructure and containerised environments.
Your Skills & Experience
- Strong experience as a Full Stack AI Engineer or in a similar AI-focused software engineering role.
- Advanced capability with Python and TypeScript across frontend and backend development.
- Hands-on experience with LLMs, RAG architectures, agentic AI, and modern AI frameworks.
- Strong knowledge of APIs, system integration, application architecture, and database technologies.
- Experience using Docker and deploying AI solutions within cloud environments such as Azure or GCP.
- Knowledge of vector databases, semantic search, and knowledge graph technologies.
- Experience deploying AI systems within secure or restricted environments is highly advantageous.
- Exposure to defence, government, national security, or similarly regulated sectors is beneficial.
- Active or previously held security clearance is advantageous.
How to Apply
If you’re interested in applying your AI engineering expertise to innovative, large-scale projects, please apply with your latest CV.

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Senior Backend Engineer
New York
$180000 - $235000
+ Data Engineering
PermanentNew York
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Senior Backend Engineer
New York City (Hybrid, 3 days per week in office) | $155,000 – $225,000 + Equity + Benefits
This is an opportunity to join a high-growth technology business that is redefining a traditional industry through a modern software platform. You’ll have significant ownership, work closely with Product and Design teams, and help build scalable systems that support a rapidly expanding customer base.
The Company
They are a venture-backed technology company with more than 200 employees and recent Series D funding. Their platform enables independent businesses to launch, manage, and grow their operations through a combination of software, marketplace access, and operational support.
The business has experienced strong growth and is continuing to invest heavily in its product and engineering teams. They offer a collaborative environment where engineers are encouraged to influence product direction and drive technical decisions.
The Role
- Build, scale, and maintain backend services using Python
- Design and develop APIs that power key platform functionality
- Work closely with Product and Design teams to deliver customer-focused solutions
- Contribute to architecture decisions that improve performance, scalability, and reliability
- Develop systems across onboarding, customer management, communications, integrations, and operational tooling
- Take ownership of features and projects from design through deployment
- Promote engineering best practices and high-quality code standards
- Support the growth of a modern cloud-based platform serving a growing user base
Your Skills & Experience
- Strong commercial experience with Python backend development
- Experience working with Django, Flask, or similar frameworks
- Expertise designing and building REST APIs
- Strong knowledge of distributed systems and web application architecture
- Experience working with relational databases and ORM technologies
- Exposure to AWS and cloud-native environments
- Experience building customer-facing products within SaaS, marketplace, consumer technology, or other product-led businesses
- Ability to work autonomously while collaborating effectively across teams
- Product-minded approach with a strong sense of ownership
What They Offer
- $155,000 – $225,000 base salary
- Equity package
- Comprehensive benefits package
- Hybrid working model with 3 days per week in the New York City office
- High levels of ownership and autonomy
- Opportunity to solve complex technical challenges at scale
- Clear progression opportunities within a growing engineering organisation
- Collaborative and supportive engineering culture
How to Apply
If you are a Senior Backend Engineer with strong Python experience and a passion for building scalable products, apply today to learn more about this opportunity.

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Customer Analytics Manager – 12-month FTC
London
£65000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Customer Analytics Manager 12 Month FTC
London (Hybrid) | Up to £70,000
Looking for a role where you can shape customer strategy and influence senior decision-making? This Customer Analytics Manager position offers the opportunity to own the customer analytics agenda for a well-established retail business, delivering insight that drives customer growth, retention and commercial performance.
The Company
This organisation is a leading consumer business with a large and highly engaged customer base across both digital and physical channels. Data and analytics sit at the heart of business decision-making, with established teams covering customer analytics, data science, AI and marketing analytics. They are now looking for a Customer Analytics Manager to join on a 12-month fixed-term contract and lead key customer insight initiatives.
The Role
You will be responsible for delivering strategic customer analytics and helping stakeholders make more informed customer-focused decisions.
Key responsibilities include:
- Owning customer analytics across retention, loyalty, profitability and customer lifetime value
- Delivering customer reporting, insight and deep-dive analysis to identify opportunities and risks
- Leading customer segmentation and profiling projects to better understand customer behaviour
- Applying advanced analytical techniques including clustering, predictive modelling, regression analysis and campaign measurement
- Translating complex analysis into clear, actionable recommendations for senior stakeholders
- Building strong relationships across the business and acting as a trusted analytics partner
- Developing compelling insight-led narratives that support commercial and customer objectives
Your Skills & Experience
- Strong commercial experience in customer analytics, customer insight or CRM analytics
- Advanced SQL skills
- Strong data visualisation experience
- Experience delivering segmentation, clustering, predictive modelling and campaign measurement
- Understanding of techniques such as k-means clustering, random forest and regression analysis
- Excellent stakeholder engagement and communication skills
- Ability to translate analytical findings into business recommendations
- Previous people management or mentoring experience would be beneficial
What They Offer
- Salary up to £70,000
- Competitive benefits package
- Hybrid working model based in London
- Opportunity to lead a high-impact customer analytics function
- Exposure to senior stakeholders across a data-driven organisation
- Valuable experience within a large-scale customer analytics environment
How to Apply
To apply for this Customer Analytics Manager role, please submit your CV for consideration.

To Apply for this Job Click Here
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