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Director of Data Science
New York (Hybrid) – $240,000 – $300,000 + Bonus + Benefits

This is an opportunity to shape the future of enterprise Data Science within a large-scale, data-rich organisation undergoing significant AI and analytics transformation. You will lead a high-performing team, influence strategic decision-making at the highest level, and drive the development of advanced machine learning and AI solutions that deliver measurable business impact.

The Company
They are a well-established organisation with a strong commitment to innovation, data-driven decision-making, and digital transformation. Operating at enterprise scale, they are investing heavily in AI, machine learning, and advanced analytics to improve outcomes across multiple business functions.
With a collaborative and technology-focused environment, they empower teams to solve complex challenges using modern data capabilities. They offer the opportunity to work on meaningful initiatives with visibility across senior leadership and key stakeholders.

The Role
As Director of Data Science, you will be responsible for defining and delivering the organisation’s data science strategy while leading a team of highly skilled practitioners.
Responsibilities include:
* Develop and execute the enterprise data science roadmap aligned to strategic business priorities.
* Lead teams delivering predictive modelling, machine learning, optimisation, forecasting, experimentation, and AI-driven solutions.
* Partner with Product, Engineering, Data, and business stakeholders to identify high-value opportunities and translate them into scalable solutions.
* Establish best practices for model development, validation, monitoring, governance, and lifecycle management.
* Drive adoption of modern machine learning and AI methodologies while ensuring appropriate risk management and responsible AI principles.
* Oversee experimentation frameworks, performance measurement, and model evaluation approaches.
* Act as a trusted advisor to senior stakeholders, helping shape strategy through data-driven insights.
* Build, mentor, and develop a high-performing Data Science team and culture.

Your Skills & Experience
* Strong commercial experience leading Data Science, Machine Learning, or Advanced Analytics functions.
* Deep expertise in statistical modelling, predictive analytics, machine learning, experimentation, optimisation, and decision science.
* Strong experience developing and scaling production-grade data science solutions.
* Advanced proficiency with Python, SQL, and modern machine learning tools and frameworks.
* Experience working closely with engineering and product teams to operationalise analytical solutions.
* Strong stakeholder management skills with the ability to communicate complex concepts to technical and non-technical audiences.
* Experience building team capability, coaching talent, and driving delivery within a fast-paced environment.
* Understanding of AI governance, model monitoring, and responsible AI frameworks.

What They Offer
* Salary of $240,000 – $300,000 depending on experience.
* Performance-related bonus.
* Comprehensive healthcare and benefits package.
* Hybrid working environment.
* Opportunity to lead enterprise-scale AI and Data Science initiatives.
* Significant visibility with senior leadership and executive stakeholders.
* Clear scope for long-term career progression and organisational impact.

How to Apply
If you are an experienced Data Science leader looking to drive large-scale AI and analytics transformation, please apply today to learn more about this opportunity.

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ML Engineering Manager
REMOTE | up to $235,000 + Benefits | 4 Days Per Week

If you’re a hands-on/people Manager ML leader who enjoys solving complex problems, guiding high-performing teams, and shaping the future of machine learning products, this is a rare opportunity to make a significant impact in a flexible 4-day-per-week role. You’ll combine technical leadership with people management, helping drive experimentation, innovation, and measurable business outcomes within a highly collaborative AI environment.

The Company
They are a technology-driven organisation that leverages advanced machine learning and data science to solve complex business challenges at scale. Their teams operate at the intersection of research, engineering, and commercial impact, with a strong culture of experimentation and continuous improvement. Decision-making is evidence-led, and employees are empowered to explore new ideas, challenge assumptions, and contribute to long-term innovation. The business offers an environment where technical experts can influence strategy while remaining close to the work.

The Role
As an ML Engineering Manager, you will lead a team focused on developing and improving production machine learning solutions while fostering a culture of learning, innovation, and technical excellence.
Responsibilities include:

• Leading, mentoring, and developing a team of machine learning engineers.
• Supporting career development, performance growth, and team engagement.
• Creating an environment where experimentation, learning, and knowledge sharing are encouraged.
• Partnering with technical leaders to prioritise and resource high-impact initiatives.
• Managing a portfolio of machine learning experiments, balancing short-term delivery with longer-term innovation.
• Applying rigorous evaluation standards to ensure model performance translates successfully into production environments.
• Working closely with stakeholders to define priorities, measure success, and communicate outcomes.
• Collaborating with engineering and infrastructure teams to support scalable ML systems and tooling.
• Representing team achievements and technical direction to senior leadership and wider business stakeholders.

Your Skills & Experience

• Strong commercial experience in machine learning, data science, or ML-focused software engineering.
• Proven people leadership experience, including coaching, mentoring, and developing technical teams.
• Deep expertise in either machine learning engineering or applied statistics, with strong working knowledge of both disciplines.
• Ability to lead teams through ambiguity and make informed decisions using data and evidence.
• Experience building, evaluating, and deploying machine learning models in production environments.
• Excellent communication skills with the ability to translate technical concepts into business impact.
• Comfortable working autonomously and influencing stakeholders across multiple teams.
• Strong focus on quality, reproducibility, and operational excellence.

What They Offer

• Competitive salary and comprehensive benefits package.
• Flexible 4-day-per-week working arrangement.
• Hybrid working model.
• Opportunity to lead high-impact machine learning initiatives at scale.
• Exposure to complex technical challenges and cutting-edge AI projects.
• Clear progression opportunities within a growing data and AI function.
• Collaborative culture that values innovation, experimentation, and continuous learning.

How to Apply
Apply today to discuss this ML Engineering Manager opportunity and learn more about joining a forward-thinking data and AI team in a flexible 4-day-per-week position.

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Senior/Principal Applied AI Engineer
United States, hybrid or remote. Competitive salary plus benefits.
$150,000 to $205,000 + 15% Bonus

This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.

The Company
They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.

The Role
You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:

• Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
• Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
• Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
• Creating AI agents across digital and voice channels to support real-time interactions.
• Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
• Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
• Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.

Your Skills and Experience
You will bring strong, practical experience applying Generative AI in commercial settings, including:

• Advanced Python development skills with modern GenAI and machine learning libraries.
• Hands-on experience with large language models, prompt engineering, and LLM evaluation.
• Proven capability building RAG pipelines and working with vector databases.
• Strong SQL skills and experience working with cloud data platforms.
• Experience delivering production-grade conversational AI or chatbot solutions.
• The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Comfort working in fast-paced, cross-functional environments.

What They Offer

• Competitive salary and comprehensive benefits package.
• The chance to work on high-impact, enterprise-scale AI products.
• Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
• Clear opportunities for technical growth and influence within a growing Data and AI function.
• A collaborative, supportive culture that values continuous improvement and learning.

How to Apply
If you are an Applied AI Engineer looking to build and deploy meaningful Generative AI solutions, apply now to find out more.

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Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

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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.

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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

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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.

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SENIOR DATA ARCHITECT
Remote (UK) | 1 day per month onsite | £87,000 to £90,000 + Benefits
This is an opportunity to take ownership of data architecture within a major Azure Data Lakehouse transformation. You’ll play a key role in defining enterprise-wide data models, setting architecture standards, and helping the organisation transition from traditional reporting to advanced analytics.
THE COMPANY
This leading professional services organisation is investing heavily in its data and analytics capabilities. Having already modernised its infrastructure and established a cloud-based Azure data platform, they are now focused on improving data visibility, strengthening governance, and unlocking greater value from their data. Data sits at the centre of their long-term strategy, making this a highly visible role with significant business impact.
THE ROLE
You will be responsible for shaping the data architecture and modelling strategy across a modern Azure Data Lakehouse environment.
Key responsibilities include:

• Designing and governing enterprise data models across Medallion Architecture layers.
• Building scalable dimensional models using Kimball methodologies and star schemas.
• Defining modelling standards, governance frameworks, and best practices.
• Designing and maintaining curated semantic layers for reporting and analytics.
• Collaborating with Data Engineers, Analytics teams, and senior stakeholders across the business.
• Producing architecture artefacts, data models, documentation, and design standards.
• Acting as the technical authority for data modelling and architecture decisions.
• Supporting the evolution towards predictive and prescriptive analytics capabilities.

YOUR SKILLS & EXPERIENCE

• Strong hands-on Data Architecture and Data Modelling experience.
• Expertise in dimensional modelling, facts and dimensions, and Kimball methodologies.
• Experience working with Medallion Architecture and Azure-based data platforms.
• Strong understanding of semantic layers and modern cloud data environments.
• Experience establishing governance, modelling standards, and architecture best practice.
• Ability to influence stakeholders and communicate technical concepts effectively.
• Experience within regulated or complex enterprise environments would be beneficial.

WHAT THEY OFFER

• £87,000 to £90,000 salary plus benefits.
• Remote-first working with minimal travel requirements.
• The opportunity to shape architecture standards across a growing data function.
• Significant autonomy and exposure to senior business stakeholders.
• Long-term career development within a large-scale data transformation programme.

HOW TO APPLY
If you’re a Senior Data Architect with strong Azure and data modelling expertise, apply today to learn more about this opportunity.

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Director of Quantitative Operations

£90,000-£100,000 + Bonus

Fully Remote in The UK

Are you an experienced Quantitative Research Operations leader ready to take the step into a Director-level position? This is an opportunity to lead a team of around 12 people, oversee a £12m-£15m annual project portfolio, and take ownership of the Quantitative Operations function within a highly respected healthcare market research business. The business is open to experienced Senior Managers looking to make their first move into a Director role, provided you can demonstrate the leadership, commercial awareness and operational capability to step up.

The Company

This is a well-established healthcare market research and data collection business, backed by a global organisation with a strong reputation across the pharmaceutical and healthcare insights space. They work with major healthcare and pharmaceutical clients across the UK and Europe, combining the specialist feel of a research business with the infrastructure and reach of a global organisation. The business has ambitious growth plans and is investing in its people and operations, making this a high-visibility role with genuine scope to influence the future direction of the function.

The Role

As Director of Quantitative Operations, you will report directly into the Managing Director and take overall responsibility for the Quantitative Operations function. You will lead a team of approximately 12 Quantitative Operations and Project Management professionals, with responsibility for team performance, utilisation, development and succession planning.

Your responsibilities will include:

• Leading and developing the Quantitative Operations team.
• Overseeing delivery across a £12m-£15m annual project portfolio.
• Owning resource allocation, project planning and operational delivery.
• Driving improvements across processes, best practice and quality standards.
• Managing team performance, utilisation and development.
• Building a strong training, mentoring and succession plan.
• Maintaining strong client relationships and acting as a senior escalation point.
• Working closely with Client Services, Sales, Finance and wider operational teams.
• Ensuring the function operates efficiently, commercially and profitably.
• Supporting senior leadership with departmental growth and future planning.

This is a role that requires someone who can operate strategically while remaining close enough to the operation to drive delivery.

Your Skills & Experience

You will ideally have:

• A strong background in Quantitative Research Operations.
• Experience within healthcare, pharmaceutical or healthcare market research.
• Proven experience managing and developing teams.
• Experience overseeing multiple projects, budgets and competing priorities.
• Strong client management and stakeholder engagement skills.
• A commercially aware approach, balancing operational excellence with profitability.
• Excellent organisational and project management skills.
• The ability to manage a fast-paced, delivery-focused environment.
• Strong communication skills and confidence working with senior stakeholders.

You do not need to be a Director already. The business is particularly interested in ambitious Senior Managers who are ready to take the next step and can demonstrate clear leadership potential and the ability to scale their responsibilities. Experience across healthcare-focused market research agencies, pharmaceutical research or healthcare data collection will be highly relevant.

The Benefits

• £90,000-£100,000
• Quarterly performance-based bonus

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Digital Analyst
£40,000 – £45,000
Hybrid – Merseyside (3x days per week)

Are you passionate about turning digital data into meaningful commercial insight? This is an opportunity to join a well-established retail organisation undergoing continued investment in ecommerce, analytics, and data-driven decision making. You’ll play a key role in helping teams understand online performance, customer behaviour, and growth opportunities through advanced analytics.

The Company
They are a customer-focused retail business with a significant online presence and a strong commitment to innovation. Data plays a central role in shaping commercial decisions, and the organisation continues to invest in analytics capabilities across the business. You’ll join a collaborative environment where insights are valued, and where analytical expertise has a direct impact on performance and strategy.

The Role
As an Ecommerce Data Analyst, you will be responsible for delivering actionable insights that improve online performance and support business growth.
Key responsibilities include:

• Translate business challenges into analytical projects and data-driven recommendations
• Analyse web, customer, and commercial data to identify opportunities and trends
• Build strong relationships with stakeholders across ecommerce and wider business teams
• Develop dashboards, reports, and self-service analytics solutions using BI tools

Your Skills & Experience

• Strong commercial experience working with BigQuery and SQL
• Experience analysing ecommerce or digital performance data
• Strong knowledge of Google Analytics 4 (GA4)
• Experience with data visualisation tools such as Power BI or Looker
• Understanding of analytical methodologies and data-driven problem solving
• Awareness of ETL processes and data automation concepts
• Strong communication skills with the ability to present complex findings clearly to non-technical audiences

What They Offer

• Competitive salary and benefits package
• Hybrid working environment
• Access to career development and progression opportunities
• Collaborative and supportive analytics team
• Opportunity to shape reporting, insights, and data capability across a growing ecommerce function
• Pension and additional employee benefits

How to Apply
If you’re an Ecommerce Data Analyst with strong SQL, BigQuery, GA4, and BI experience, apply today to learn more about this exciting opportunity.

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Analytics Consultant

£70,000 – £90,000

Remote

This is an excellent opportunity to join a specialist analytics consultancy delivering modern data and AI solutions for organisations across multiple industries. You’ll work on high-impact projects, collaborate with experienced consultants, and help clients unlock greater value from their data using leading cloud and analytics technologies.

The Company

They are a well-established data and analytics consultancy that helps organisations modernise and scale their analytics capabilities through cloud-based data platforms and modern data stack technologies.

Their teams work closely with clients to design, build, and support innovative analytics solutions that enable data-driven decision making. With a strong focus on technical excellence, continuous learning, and customer success, they offer an environment where consultants can develop deep expertise while making a measurable impact.

The business fosters a collaborative culture that encourages knowledge sharing, professional development, and progression into senior leadership and solution architecture responsibilities.

The Role

As a Senior Analytics Consultant, you will lead the delivery of analytics and data engineering projects while acting as a trusted advisor to clients.

Key responsibilities include:

• Leading end-to-end analytics and data engineering engagements for a diverse client portfolio.
• Designing and implementing cloud-based data solutions using Google Cloud technologies.
• Building scalable data models and transformation frameworks using tools such as dbt and Dataform.
• Developing dashboards, reporting solutions, and data visualisations using platforms including Looker and Power BI.
• Leading client workshops and translating business requirements into scalable technical solutions.
• Designing modern analytics architectures, including data flows, warehouse structures, and orchestration processes.
• Managing project risks, blockers, dependencies, and delivery milestones.
• Mentoring junior consultants and contributing to internal best practice initiatives.
• Supporting the adoption of emerging analytics, cloud, and AI technologies.

Your Skills & Experience

You should have:

• Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker.
• Experience delivering analytics, business intelligence, or data engineering projects in a consulting or client-facing environment.
• Excellent SQL, data modelling, cloud data warehousing, and database design skills.
• Experience working with software development practices including Git, CI/CD, and version control.
• Strong stakeholder management and communication skills, with the ability to engage both technical and non-technical audiences.
• Experience balancing multiple projects and priorities in a fast-paced consulting environment.
• Exposure to modern data stack technologies such as Fivetran, Snowflake, Segment, Airbyte, Cube, or similar tools.
• Relevant cloud certifications or an interest in achieving them.

What They Offer

• Competitive salary package.
• Performance-related bonus scheme.
• Private medical insurance.
• Life assurance.
• Contributory pension scheme.
• Enhanced family-friendly benefits.
• Flexible public holiday policy.
• Hybrid, remote, or office-based working options.
• Home office equipment allowance.
• Ongoing learning and development support, including professional certifications.
• Clear progression into senior consulting, leadership, and solution architecture pathways.

How to Apply

If you are passionate about modern analytics, cloud data platforms, and delivering meaningful business impact, apply today to learn more about this Senior Analytics Consultant opportunity.

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Customer Insights Analyst

£45,000 – £50,000 + bonus + strong pension

Hybrid – West Midlands (1x day per week)

This is an opportunity to join a growing customer analytics function at a pivotal time, where data plays a central role in shaping customer communications and commercial decision-making. You will work at the heart of campaign delivery, combining technical expertise with real business impact across multiple product areas.

The Company

They are a well-established UK financial services organisation with a strong customer-first culture and a reputation for high-quality service. Data and analytics are a strategic priority, with ongoing investment in modern platforms, tools, and ways of working. The environment is collaborative, stable, and focused on long-term value rather than short-term wins.

The Role

As a Customer Selections and Analytics Consultant, you will be responsible for delivering accurate and timely customer selections that support a wide range of campaigns. You will work closely with analytics and marketing stakeholders to turn campaign briefs into robust, data-driven outputs.

Key responsibilities include:

• Translating campaign briefs into clear, structured technical requirements
• Building, running, and optimising campaign selections using SQL
• Joining and manipulating data from multiple sources including CRM, transactional, and engagement data
• Using APIs to push selections into a CRM platform, supporting email and direct mail campaigns
• Partnering with analytics specialists on testing, measurement, and performance analysis
• Planning selections ahead of delivery schedules to support smooth campaign execution
• Contributing to wider data platform migrations and process improvements

Your Skills and Experience

• Strong SQL capability, with confidence building and optimising complex queries
• Experience in campaign selections, customer analytics, CRM data, or a related data role
• Ability to translate business requirements into practical data solutions
• Comfortable working with multiple data sources and large customer datasets
• Experience supporting marketing or customer communications campaigns
• Industry background is open, with transferable analytical experience valued

What They Offer

• Competitive salary and benefits package
• Hybrid working with flexibility built into the culture
• Exposure to large-scale data platform and CRM transformation projects
• Clear opportunities to develop technical capability and progress within analytics
• A supportive, collaborative team environment with strong knowledge sharing

How to Apply

Apply now to learn more about this Customer Selections and Analytics Consultant role and how it could fit into your next career move.

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