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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DATA & AI SALARYÂ GUIDE 2024
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Data Scientist
San Francisco
$70 - $90
+ Data Science & AI
ContractSan Francisco, California
To Apply for this Job Click Here
This is an opportunity to join a high-impact project focused on transforming sales territory planning through predictive analytics and AI. You will help build the foundational models that will shape future go-to-market decision-making and support the development of next-generation AI-driven sales solutions.
The Company
They are a data and AI consulting firm that partners with enterprise organizations to solve complex business challenges through advanced analytics and machine learning. Their teams combine deep technical expertise with commercial strategy to deliver measurable business outcomes. This engagement sits within a broader GTM transformation initiative and offers the chance to work closely with senior leaders on a brand-new capability being built from scratch.
The Role and Deliverables
- Build predictive models to optimize sales territory design and support quota planning decisions.
- Analyze sales performance, territory, and quota data to identify opportunities for improved coverage and efficiency.
- Partner with GTM Operations and Territory Operations stakeholders to understand business requirements and translate them into analytical solutions.
- Validate model performance through backtesting and historical data analysis.
- Help define the modeling framework that will ultimately integrate with AI-powered GTM agents.
- Present findings, recommendations, and methodologies to both technical and non-technical stakeholders.
Your Skills & Experience
- Strong experience within GTM Operations, Revenue Operations, Sales Strategy, or Territory Planning environments.
- Advanced Python programming skills with the ability to build predictive models from scratch.
- Experience working with Excel-based datasets and transforming business data into actionable insights.
- Strong foundation in statistical analysis, predictive modeling, and data science methodologies.
- Ability to explain complex algorithms and analytical concepts to sales, strategy, and operations teams.
- Strong stakeholder management and presentation skills in client-facing environments.
- A proactive approach, with the ability to challenge assumptions, contribute ideas, and drive solutions independently.
How to Apply
If you are excited by the opportunity to build predictive GTM models from the ground up and work at the intersection of data science, sales strategy, and AI, apply with your latest resume.
To Apply for this Job Click Here
Senior Product Data Scientist/ Product Data Analyst
London
£500 - £500
+ Data Science & AI
ContractLondon
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Product Analyst
Remote (UK) | Outside IR35 £500 A day
This is an excellent opportunity for a Product Analyst to join a growing analytics function within a consumer-focused membership business. With significant investment in growth initiatives and a strong focus on experimentation, you will have the chance to take ownership of high-impact analytics projects, influence product strategy, and help shape the future of a developing analytics capability.
The Company
They are a consumer-focused digital business with a large and engaged user base. The organisation is investing heavily in growth, customer experience, and data-driven decision making. The analytics function is expanding to support product, marketing, and commercial teams across a range of strategic initiatives.
The Role and Deliverables
- Own product analytics workstreams focused on growth, acquisition, engagement, and customer behaviour.
- Design, analyse, and communicate the results of experiments and product changes across the customer journey.
- Partner with product, marketing, and commercial stakeholders to identify opportunities and influence strategy.
- Develop and maintain business-critical metrics, ensuring consistent measurement of performance.
- Deliver actionable insights that improve member experience, product adoption, transactions, and commercial outcomes.
- Manage projects end-to-end, taking responsibility for stakeholder engagement, prioritisation, delivery, and business impact.
Your Skills & Experience
- Strong experience in Product Analytics within a digital product, marketplace, e-commerce, or consumer platform environment.
- Hands-on expertise in SQL and dbt for data transformation and analysis.
- Proven experience designing and evaluating experiments, including A/B testing and impact assessment.
- Experience creating and defining product or commercial metrics that support decision-making.
- Strong data visualisation skills using Looker or a comparable BI platform.
- Ability to combine deep analytical capability with a highly consultative stakeholder management approach.
- Demonstrated ownership of analytical projects, with the ability to drive both strategy and execution.
- Comfortable working in a fast-paced environment where autonomy and initiative are highly valued.
To Apply for this Job Click Here
Senior Product Data Scientist / Product Data Analyst
London
£400 - £500
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior Product Data Scientist / Product Data Analyst
London | Outside IR35
Day Rate: £500
This is an opportunity to take ownership of a growing product analytics function within a highly digital consumer business. You’ll play a key role in shaping how product decisions are made, building analytical capability, driving experimentation, and delivering insights that influence product strategy from day one.
The Company
They are a fast-paced, digital-first organisation with a large online customer base and a strong focus on data-driven decision making. As their analytics capability continues to evolve, they are investing in product analytics to better understand customer behaviour and unlock new opportunities for growth. This contract role offers significant ownership and visibility across product, engineering, and business teams.
The Role and Deliverables
- Partner with Product and business stakeholders to identify user behaviour trends, customer pain points, and product opportunities through quantitative analysis.
- Design, support, and evaluate experiments and A/B tests to measure product performance and impact.
- Deliver deep-dive analysis and actionable recommendations that support strategic product initiatives.
- Work closely with Engineering teams to establish and maintain reliable data foundations.
- Build and maintain self-service dashboards that enable data-informed decision making across the organisation.
- Take ownership of the product analytics function, driving best practice and helping shape the future direction of analytics within the business.
Your Skills & Experience
- Strong experience applying product analytics within a digital, consumer-facing environment.
- Proven ability to work in fast-paced businesses and operate autonomously with minimal oversight.
- Advanced SQL skills and experience using Python or R for analytical work.
- Hands-on experience designing, running, and analysing experiments, including A/B testing.
- Experience working with dbt or similar data transformation tools.
- Experience with data visualisation platforms, ideally Light-dash or comparable BI tools.
- Ability to translate complex business questions into structured analytical approaches and actionable insights.
- Strong stakeholder management and data storytelling skills, with the confidence to present findings to senior audiences.
- Detail-oriented mindset with a proactive, self-starting approach.
- Experience with Data bricks and statistical techniques such as bootstrapping would be beneficial.
- Previous experience within retail, ecommerce, marketplace, or similar digital businesses is highly desirable.
How to Apply
If you’re an experienced Product Data Scientist or Product Data Analyst looking for a high-impact contract where you can take ownership, influence product strategy, and deliver measurable business value, please apply today.
Contract Details
Initial 3-month contract, with an immediate requirement and flexibility around start date for the right candidate.
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Senior Data Scientist
Boston
$160000 - $190000
+ Data Science & AI
PermanentBoston, Massachusetts
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Senior Data Scientist
Remote (US) | Up to $190,000 Base + Benefits
A rapidly growing healthcare technology company is hiring multiple Senior Data Scientists to help build and scale machine learning products that directly improve patient access to clinical research and healthcare innovation.
This is a highly visible opportunity for someone who wants to own machine learning models from development through deployment and monitoring while partnering closely with Product, Engineering, and business stakeholders. The team is investing heavily in data science as a core strategic function and is looking for individuals who enjoy solving complex real-world problems through predictive modeling and statistical rigor.
What You’ll Be Working On
- Building predictive models that influence healthcare decision-making
- Developing patient matching and recommendation systems
- Forecasting enrollment and engagement outcomes
- Designing and evaluating machine learning experiments
- Monitoring and improving production model performance
- Partnering with engineering teams to productionize solutions
- Influencing product strategy through data-driven insights
What We’re Looking For
- 5+ years of Data Science experience
- Strong Python and SQL skills
- Experience building and deploying predictive models
- Statistical modeling expertise
- Machine learning production experience
- Strong experimentation and analytical thinking skills
- Ability to communicate complex findings to non-technical stakeholders
Preferred Experience
- Healthcare, life sciences, pharma, insurance, or other regulated industries
- Forecasting, Bayesian methods, or advanced statistical modeling
- Experience monitoring and improving production models
- Startup or high-growth environment experience
Why This Role?
- Fully remote opportunity
- Up to $190,000 base salary
- Meaningful healthcare impact
- Strong leadership visibility
- Opportunity to influence product direction
- End-to-end ownership of machine learning initiatives
- Join a business that has proven product-market fit and is investing heavily in growth
If you’re a Data Scientist who enjoys building models that make it into production and drive measurable business outcomes, we’d love to hear from you.
Apply today or reach out directly for a confidential discussion.
To Apply for this Job Click Here
Staff AI Engineer
$200000 - $600000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff AI Engineer
(Hands‑on, LLM Platforms, Technical Lead)
Location: New York
Working model: On‑site
Package: $250,000 + Equity + Bonus
The Opportunity
An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.
This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.
The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.
The Role
You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.
Responsibilities include:
- Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
- Owning end‑to‑end system architecture, performance, and scalability
- Developing AI tools to support research, monitoring, knowledge discovery, and decision support
- Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
- Reviewing code, setting engineering standards, and supporting the development of other engineers
- Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
- Assessing third‑party tooling and platforms where appropriate
This is a deeply hands‑on role with real ownership.
What We’re Looking For
Core requirements:
- Strong software engineering background (Python preferred)
- Proven experience building production AI systems, particularly modern LLM applications
- Solid understanding of:
- Prompt design and iteration
- Embedding pipelines and vector databases
- RAG architectures and tool‑use patterns
- Model evaluation and monitoring
- Experience deploying AI products used by non‑technical stakeholders
- Comfortable setting technical direction while remaining a builder
Nice to have:
- Exposure to complex analytical or commercial domains
- Experience working in small, senior engineering teams
- Background in cloud‑native environments
Why Join?
- Ownership of mission‑critical AI systems
- Direct visibility of impact, your work will be used day‑to‑day
- Modern AI stack with freedom to make technical decisions
- Long‑term scope to shape and grow the AI engineering function
To Apply for this Job Click Here
Principal Data Scientist
$200000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Data Scientist
Remote | Salary up to $220,000 + 15% bonus
This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.
The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.
The Role
- Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
- Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
- Collaborate with cross-functional stakeholders to identify opportunities and define requirements
- Apply generative AI and other advanced methodologies to solve real-world problems
- Translate technical findings into clear, actionable insights for senior stakeholders
- Oversee project timelines and ensure successful delivery across multiple workstreams
Your Skills and Experience
- Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
- Deep understanding of production-level AI systems and recent exposure to generative AI techniques
- Proven ability to lead complex projects end to end, from concept through to deployment
- Experience working cross-functionally with product, engineering, or business teams
- Clear and collaborative communication style, with the ability to influence senior stakeholders
- Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar
What They Offer
- Salary up to $220,000 with a 15% performance bonus
- Fully remote working with flexibility and autonomy
- Opportunity to work on high-impact AI initiatives at scale
- Collaborative, forward-thinking technical environment
- Clear scope for progression into broader technical or strategic leadership roles
How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.
To Apply for this Job Click Here
Senior AI Engineer
$180000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior AI Engineer, Agentic Systems
Remote (US) $150,000 to $220,000 + Bonus + Equity
This is an opportunity to join an AI-first technology company building sophisticated agentic systems that automate complex business workflows. You’ll play a key role in shaping both customer-facing AI capabilities and the internal engineering practices that enable teams to build faster, smarter, and more effectively.
The Company
They are an innovative software business leveraging advanced AI and autonomous systems to transform how organisations manage complex operational workflows. Their platform combines proprietary intelligence, enterprise data integration, and agent orchestration to deliver highly automated outcomes at scale. With a remote-first culture and a strong engineering focus, they offer an environment where technical expertise has a direct impact on product direction and business growth.
The Role
As a Senior AI Engineer, you will:
- Design and develop agentic workflows, autonomous systems, and AI-powered product features
- Build orchestration frameworks, tool integrations, and multi-step agent capabilities
- Create robust evaluation, monitoring, guardrail, and observability frameworks for production AI systems
- Collaborate with Product teams to translate complex business processes into reliable agent-driven solutions
- Integrate AI workflows with enterprise platforms, data systems, and third-party technologies
- Own the full software development lifecycle from design through deployment and optimisation
- Contribute to architecture decisions and technical strategy across the engineering function
- Champion the effective use of AI-assisted development tools and help establish engineering best practices
- Work closely with a high-performing team to deliver scalable, production-ready solutions
Your Skills & Experience
- Strong commercial software engineering experience with expertise across distributed systems, APIs, and scalable application development
- Proven experience building applications using LLMs, AI agents, orchestration frameworks, or autonomous workflows
- Experience designing and deploying production-grade AI systems with a focus on reliability and performance
- Knowledge of agent tooling, tool use frameworks, MCP, or similar integration approaches
- Ability to work across the full development lifecycle and take ownership of complex technical initiatives
- Strong communication skills and experience collaborating within remote or distributed teams
- Curiosity about emerging AI technologies and a passion for applying them to solve real-world challenges
Desirable experience includes:
- Exposure to marketing technology, advertising technology, media platforms, or customer data ecosystems
- Experience integrating with enterprise data platforms, cloud data warehouses, or third-party APIs
- Familiarity with LangChain or similar agent orchestration frameworks
- Experience evaluating or running local and self-hosted LLM environments
What They Offer
- Competitive base salary
- Equity participation
- Comprehensive benefits package
- Fully remote working across the US
- Access to collaborative office space for those who prefer a hybrid environment
- The opportunity to influence product strategy and engineering standards
- Exposure to cutting-edge AI and agentic system development
- Clear opportunities for professional growth within a rapidly evolving technology environment
How to Apply
If you’re excited by the future of agentic software engineering and want to build AI systems that have a tangible impact, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Senior Data Engineer
Boston
$60 - $80
+ Data Engineering
ContractBoston, Massachusetts
To Apply for this Job Click Here
Senior Data Engineer (Contract)
About Harnham
Harnham is a specialist in data and analytics recruitment. We partner with organizations that are investing in modern cloud data platforms and help them hire experienced data professionals who can deliver production-grade solutions at scale.
About the Client
Our client is a leading membership-based retail organisation undergoing a large-scale data transformation. The business is investing in cloud-native data platforms to improve how operational, customer, merchandising, and supply chain data is collected, managed, and delivered across the enterprise.
Role Details
- Role: Senior Data Engineer
- Location: Hybrid near Boston, MA (1 day per week) or fully remote (EST hours)
- Pay Range: $60 to $80 per hour
- Start: Target early September
- Length: 6 month initial contract with likely extension
- Utilization: 40 hours per week
- Employment Type: Contract (W2 or C2C)
The Role
This is a hands-on Senior Data Engineering contract focused on building and supporting enterprise data pipelines that power reporting, analytics, and operational decision-making across the business.
You will own the ingestion layer for high-volume retail and operational data, helping move information from source systems into a modern cloud data platform. This role requires strong Snowflake expertise, deep experience with data ingestion, and the ability to work independently while partnering with business and technical stakeholders.
Key Responsibilities
- Own end-to-end delivery of data engineering solutions, from source intake through production deployment.
- Design, build, and maintain scalable batch and near real-time ingestion pipelines.
- Develop Snowflake-based data models and transformation frameworks.
- Support analytics, reporting, forecasting, and operational decision-making across retail functions.
- Ensure data quality, lineage, validation, and governance standards are maintained.
- Partner with stakeholders across technology, operations, merchandising, customer, and analytics teams.
- Drive engineering best practices around testing, monitoring, documentation, and reliability.
Requirements: Must Have
- 4+ years of professional Data Engineering experience with significant ownership of ingestion pipelines.
- Extensive hands-on Snowflake experience in production environments.
- Experience using Snowflake Cortex or other AI-assisted capabilities within Snowflake.
- Strong SQL skills, including optimisation, validation logic, and large-scale data processing.
- Experience supporting enterprise data platforms within retail, eCommerce, consumer products, logistics, supply chain, or similarly complex environments.
- Ability to work independently and communicate effectively with both business and technical stakeholders.
Nice to Have
- Experience using dbt for data transformation and modelling.
- Python for data engineering, orchestration, and automation.
- Experience supporting near real-time or event-driven data pipelines.
- Familiarity with CI/CD processes, Git, and Agile delivery methodologies.
- Experience working with customer, merchandising, inventory, fulfilment, or supply chain data domains.
Why Apply?
This is an opportunity to join a major retail organisation that is continuing to invest heavily in modern data capabilities. You’ll have direct ownership over critical data pipelines, work with a modern Snowflake environment, and help shape the future of enterprise analytics across a data-driven business.
We will not be utilizing third parties for this search. Please apply directly if interested.
To Apply for this Job Click Here
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