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Analytics Engineering Consultant
Remote (UK) | £70,000 – £90,000
Must have full UK working rights, no sponsorship offered

If you’re a Analytics Engineering Consultant with strong expertise across Google Cloud, BigQuery, dbt and Looker, this is an opportunity to join a specialist data consultancy delivering high-impact analytics transformation projects. You’ll work closely with clients, lead solution design, influence strategy, and help organisations build scalable, modern data capabilities using leading cloud technologies.

The Company
This growing specialist consultancy helps organisations design, build and optimise modern analytics platforms. They partner with clients across a range of industries, delivering projects focused on analytics engineering, data modelling, self-service analytics, governance and AI-enabled insights.

The Role
As a Analytics Engineering Consultant, you will lead client engagements from discovery through to delivery, combining hands-on technical expertise with stakeholder management and consulting skills.

Responsibilities include:

• Designing and delivering analytics solutions using Google Cloud, BigQuery, dbt and Looker
• Building scalable data models, semantic layers and analytics architectures
• Leading client workshops, requirements gathering sessions and technical discussions
• Advising stakeholders on analytics strategy, governance and best practice
• Managing multiple client projects and balancing competing priorities
• Translating complex technical concepts for both technical and non-technical audiences
• Supporting self-service analytics and modern data platform initiatives
• Identifying opportunities for account growth, project extensions and renewals
• Mentoring consultants and contributing to internal best practices and innovation initiatives
• Supporting the adoption of AI-driven analytics solutions and emerging technologies

Your Skills & Experience
You will bring:

• Strong commercial experience with Google Cloud Platform (GCP)
• Strong hands-on experience with BigQuery, dbt and Looker
• Previous consulting or client-facing delivery experience
• Excellent SQL and data modelling skills
• Experience working with Git, version control and CI/CD practices
• The ability to manage multiple concurrent projects and stakeholder groups
• Experience leading technical conversations and influencing decision-making
• A proactive, ownership-led approach to problem solving and delivery
• Strong communication and relationship-building skills
• Google Cloud Data Engineer Certificate would be beneficial

What They Offer

• Salary of £70,000 – £90,000
• Remote-first working with occasional team meetups
• Private medical insurance
• Life assurance
• Enhanced pension contribution
• Enhanced family-friendly policies
• Ongoing training, certifications and professional development
• Clear opportunity to influence projects, clients and business growth

How to Apply
Apply today with your CV to discuss the role in more detail.

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Senior Analytics Consultant

Brighton/Remote

Up to £90,000

The Overview

This is an opportunity to join a growing specialist data consultancy that delivers high-impact analytics and data platform projects for a diverse client base. Working at the intersection of analytics engineering, cloud data platforms, governance, and AI-enabled analytics, you will have the chance to influence both technical delivery and client strategy in a highly visible role.

The Company

They are a specialist analytics consultancy focused on helping organisations build and scale modern data platforms and analytics capabilities. Working across sectors including financial services, technology, retail, healthcare, and education, they partner with clients to deliver cloud-based analytics solutions, semantic modelling, governance frameworks, and self-service reporting environments.

Their team is intentionally small and collaborative, providing consultants with direct exposure to clients, solution design, and business decision-making. They are experiencing strong growth and have built a reputation for high-quality delivery, long-term client relationships, and innovative analytics solutions.

The Role

You will play a key role in delivering client projects while acting as a trusted advisor on analytics and data strategy.

Responsibilities include:

• Designing and delivering analytics solutions using Google Cloud, BigQuery, dbt, and Looker
• Building scalable data models, semantic layers, and reporting solutions
• Leading workshops, discovery sessions, and stakeholder discussions
• Managing multiple client engagements and balancing competing priorities
• Providing guidance on analytics strategy, governance, and self-service analytics
• Leading technical conversations and presenting recommendations to both technical and non-technical stakeholders
• Supporting solution architecture for modern data platforms
• Identifying opportunities for account growth, renewals, and project extensions
• Mentoring colleagues and contributing to internal best practices
• Supporting innovation initiatives across AI, analytics engineering, and modern data technologies

Your Skills & Experience

• Strong commercial experience with Google Cloud
• Strong hands-on experience with BigQuery
• Strong experience using dbt in production environments
• Strong experience developing solutions in Looker
• Previous consulting or professional services experience
• Advanced SQL skills
• Experience with Git, version control, and CI/CD processes
• Proven ability to work directly with clients and stakeholders
• Experience leading technical discussions and recommending solutions
• Strong communication and relationship-building skills
• Experience delivering scalable analytics, reporting, or data platform solutions
• Exposure to analytics governance, semantic modelling, or self-service analytics is beneficial
• Google Cloud certifications or a willingness to work towards them would be advantageous

What They Offer

• Salary of £70,000 – £90,000
• Quarterly bonus scheme
• Commission opportunities linked to account growth and renewals
• Fully remote UK-based working
• Minimal travel requirements
• Quarterly team meetups
• Direct exposure to senior leadership and client decision-makers
• Opportunities to work on modern data platform, analytics engineering, and AI-focused projects
• Clear scope to influence delivery standards, technical direction, and business growth as the consultancy expands

How to Apply

If you are an experienced Senior Analytics Consultant with strong Google Cloud, BigQuery, dbt, and Looker expertise and enjoy working in a client-facing environment, please apply with your CV for further information.

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The Opportunity

As a Member of Technical Staff, you will not be making incremental updates. You will be directly responsible for developing, training, and scaling LLMs (often 400B+ parameters).

You’ll operate as both a thinker and a builder, bridging the gap between research breakthroughs and engineering execution.

What You’ll Do

• End-to-End AI Development: Engage across the full stack-developing novel RL algorithms, designing data pipelines, running experiments, and evaluating models.
• Large-Scale Infrastructure: Work directly with multi-node distributed training and inference infrastructure.
• Drive Ownership: Take full agency over your domains to navigate ambiguity and solve complex, unsolved problems.

What We’re Looking For

• Background: Strong preference for candidates with experience at Google Deepmind or Meta Superintellgence
• Core Competencies: Direct experience (or a strong desire to upskill) in pretraining, multi-node training, Reinforcement Learning (RL), and data curation.
• Mindset: A builder who views research insights and engineering breakthroughs as two sides of the same coin.

Location & Work Style

• Location: Based in San Francisco, CA
• Hybrid onsite: 1-2 days on site

What’s on Offer

• Top-Tier Compensation: Highly competitive salary + high equity upside.
• Full Benefits: Comprehensive health, dental, and vision for you and your dependents.
• Perks: Unlimited/flexible PTO, 401(k)/retirement plan, annual L&D stipend, relocation support, and parental leave.

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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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Head of Performance Marketing
London, Hybrid
Salary up to – £105,000

This is an exciting opportunity to join a high-growth consumer brand at a pivotal stage of its journey. With ambitious expansion plans across international markets, channels and product categories, the business is seeking a strategic and commercially minded Head of Performance Marketing to drive customer acquisition, shape marketing innovation, and lead a high-performing team.

The Company
They are a rapidly growing consumer-focused business with a strong digital presence and an expanding international footprint. Having achieved significant success through performance marketing, they are now investing further in their acquisition capabilities as they continue to scale across new markets and channels. The organisation combines the agility of a fast-paced environment with the resources and ambition needed for long-term growth. Innovation, collaboration and continuous improvement sit at the heart of their culture.

The Role
You will lead the performance marketing function, overseeing strategy, execution and optimisation across multiple international markets.
Responsibilities include:

• Own the performance marketing strategy and budget across key acquisition channels
• Drive customer acquisition performance through paid social, search, video and emerging digital platforms
• Lead and develop specialist teams across media buying, partnerships and creative performance marketing
• Build a best-in-class testing, measurement and attribution framework
• Develop scalable approaches to creative production and performance optimisation
• Establish strong relationships with platform partners and external stakeholders
• Use data and commercial insights to influence wider growth, retention and revenue strategies
• Champion AI-enabled workflows and marketing innovation across the function
• Act as a senior stakeholder within the broader marketing leadership team

Your Skills & Experience

• Strong commercial experience leading performance marketing at Head of level or equivalent
• Deep expertise across Meta, TikTok, Google and other digital acquisition channels
• Experience managing significant marketing budgets across multiple markets
• Strong understanding of attribution, incrementality testing and marketing measurement
• Ability to connect acquisition performance with broader business metrics including retention, customer lifetime value and profitability
• Experience leading cross-functional teams and developing high-performing talent
• Comfortable working in fast-paced, scaling environments
• Experience with affiliate, influencer or partnership marketing would be advantageous
• Strong interest in AI and automation within performance marketing

How to Apply
If you are a commercially driven performance marketing leader looking to make a significant impact within a high-growth business, apply today to learn more about this opportunity.

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Senior Data Engineer

Location: 100% Remote (U.S. only, excluding California)

Compensation: $125,000 to $190,000 base + bonus

About the Opportunity

Our client is a growing healthcare organization focused on improving care delivery and outcomes for underserved and medically complex populations. Their Data & Technology team is investing heavily in modernizing and scaling its data ecosystem, creating a unique opportunity to help build a next-generation platform from the ground up.

This is a true greenfield opportunity where you’ll play a key role in designing data architecture, building cloud-based data infrastructure, and enabling analytics that support both operational and strategic decision-making.

What You’ll Do

• Design and build scalable data warehousing and data engineering solutions in AWS.
• Develop and maintain robust ETL/ELT pipelines using Python, SQL, and Apache Airflow.
• Integrate data from a variety of internal and external systems, APIs, and third-party sources.
• Help define data architecture, engineering standards, and best practices.
• Optimize data models, storage, and performance to support analytics and reporting.
• Partner with business and technical stakeholders to deliver data solutions that drive measurable outcomes.

Required Qualifications

• 5+ years of data engineering experience.
• Strong hands-on experience with AWS-based data platforms and cloud infrastructure.
• Proven success building and managing data pipelines in AWS.
• Deep experience with Apache Airflow.
• Strong Python and SQL skills.
• Experience designing, implementing, and supporting modern data warehouse environments.
• Ability to work independently and make architecture and technical design recommendations.

Preferred Qualifications

• Experience with Snowflake and dbt.
• Exposure to healthcare, health data, or regulated data environments.
• Familiarity with healthcare interoperability standards, claims data, EHR systems, or HIPAA requirements.

Ideal Candidate

We’re looking for a senior-level engineer who enjoys building from scratch, thrives in fast-paced environments, and can take ownership of data architecture decisions. This person should be comfortable balancing hands-on engineering work with strategic input on how a modern cloud data platform should evolve.

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Lead Data Scientist

Location: Hybrid (Tempe, AZ preferred; Dallas, TX or Atlanta, GA also considered)

Schedule: 4 days onsite per week (Monday-Thursday)

Compensation: $130-145,000 base salary + bonus eligibility

Overview

A leading organization is seeking a Lead Data Scientist to drive advanced risk and financial modeling initiatives that directly influence business performance. This is a highly visible individual contributor role for a senior-level data scientist who can independently lead complex projects, quantify business impact, and effectively communicate insights to executive stakeholders.

This team is responsible for identifying significant financial opportunities, developing predictive models, and delivering measurable outcomes. Success in this role requires strong technical expertise, business acumen, and the ability to defend models in regulated environments.

Responsibilities

• Lead end-to-end data science projects from problem definition through implementation.
• Develop, validate, and monitor predictive and risk models using large-scale financial and customer datasets.
• Apply advanced statistical and machine learning techniques, including gradient boosting models.
• Translate model outputs into actionable business recommendations and financial impact.
• Present findings, model performance, and recommendations to senior leadership and executive stakeholders.
• Support model governance activities, audits, and validation reviews.
• Mentor and support team members while serving as a technical leader within the organization.

Required Qualifications

• 8+ years of experience in data science, quantitative analytics, or predictive modeling.
• Strong background in finance, credit, or risk modeling within a regulated industry.
• Advanced Python and SQL skills.
• Strong foundation in mathematics, statistics, and predictive modeling.
• Experience building and validating models used for financial or risk-related decision making.
• Experience presenting technical concepts and model results to executive audiences.
• Proven ability to independently own and deliver complex projects.
• Experience supporting external audits and defending analytical models.

Preferred Experience

Experience in one or more of the following areas:

• Credit risk modeling
• Probability of Default (PD) modeling
• Credit loss or loss forecasting models
• Scorecard development
• Payment behavior analytics
• Banking, lending, mortgage, credit card, or credit bureau data
• Financial impact and portfolio analysis

Education

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or another quantitative discipline required.
• Master’s degree in Data Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field preferred.

Why Join?

• Direct ownership of high-value analytics initiatives.
• Opportunity to see models implemented and tied to measurable business outcomes.
• Significant executive exposure and influence.
• High-impact, collaborative team where individual contributions are highly visible.
• Ability to drive projects that identify and deliver multi-million-dollar business opportunities.

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SEO, Content & Automations Manager

Location: London | Salary: Up to £50,000 + bonus | Hybrid

An exciting opportunity to join a growing international digital business as an SEO, Content & Automations Manager.

You’ll own SEO and content delivery while helping shape the company’s approach to AI-driven search, AEO/GEO and automation.

Key Responsibilities

• Own SEO strategy and day-to-day delivery
• Create, edit and optimise high-quality content
• Develop AI/LLM search and AEO/GEO strategies
• Build content and SEO automations using tools such as n8n, Make or Zapier
• Analyse performance using tools such as Ahrefs, SEMrush, GA and Search Console
• Identify opportunities to improve efficiency and content quality

About You

• 2+ years’ experience across SEO, content or digital marketing
• Strong understanding of SEO and content best practice
• Hands-on interest in AI, LLMs and the future of search
• Experience or strong interest in automation
• Analytical, creative and highly organised
• Ambitious, commercially minded and keen to progress into leadership

Great opportunity to shape AI, SEO and content strategy within an international business, with potential to build a team and progress quickly.

Find out more and apply via the link below!

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This is an opportunity to take ownership of SEO, content, and automation within a growing digital business. The role offers the chance to shape AI search strategy, improve visibility across emerging search platforms, and build workflow automations that deliver meaningful business impact.

The Company
They are a well-established digital organisation with a strong online presence and a focus on innovation across search, content, and customer acquisition. As they continue to invest in AI-driven search and automation, they are looking for someone who can help shape the future of their organic growth strategy. You’ll join a collaborative environment where new ideas are encouraged and where technology is used to improve performance and efficiency.
The Role
You will:

• Lead day-to-day SEO delivery and content production across key digital channels.
• Develop and optimise strategies for AI-driven search platforms, including AI search experiences and LLM-based discovery channels.
• Monitor brand and content visibility within AI-generated responses and implement improvements based on performance insights.
• Refine structured data, content formats, and on-page SEO signals to improve discoverability and citation potential.
• Design, build, and maintain workflow automations to streamline content and SEO processes.
• Identify manual processes and create scalable automated solutions using modern automation tools.
• Use leading SEO platforms and analytics tools to monitor performance, identify opportunities, and support technical SEO improvements.
• Collaborate with stakeholders across the business to drive organic growth and improve digital performance.

Your Skills & Experience

• Strong commercial experience in SEO, content marketing, digital marketing, or a related discipline.
• Excellent understanding of SEO best practice, content optimisation, and search performance analysis.
• Knowledge of AI-driven search, Answer Engine Optimisation (AEO), Generative Engine Optimisation (GEO), or a demonstrable passion for this area.
• Hands-on experience building workflow automations using tools such as n8n, Zapier, Make, or similar platforms.
• Experience using SEO and analytics tools including Google Analytics, Google Search Console, Ahrefs, SEMrush, Moz, and Screaming Frog.
• Strong organisational skills with the ability to manage multiple priorities effectively.
• A proactive approach and confidence working collaboratively across different teams.
• Experience with scripting languages, affiliate marketing, or additional European language skills would be advantageous.

What They Offer

• Salary up to £50,000 plus bonus.
• Hybrid working with three days per week in the London office.
• Opportunity to lead AI search and automation initiatives.
• Exposure to innovative SEO and content strategies.
• Strong scope for professional development and career progression.

How to Apply
If you’re excited by the intersection of SEO, AI search, content strategy, and automation, apply today to find out more.

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Lead Data Scientist

We are looking for a Lead Data Scientist to own complex quantitative and risk modeling projects from problem definition through implementation. This is a highly visible role where your models will directly influence multi-million-dollar business opportunities and be presented to executive stakeholders.

What You’ll Do

• Build, evaluate, and validate quantitative and risk models.
• Work with large financial and credit datasets.
• Develop models using Python, SQL, and gradient boosting techniques.
• Translate model outputs into measurable financial and dollar impact.
• Own projects end-to-end, from defining the problem through implementation.
• Present technical findings and recommendations to senior and executive stakeholders.
• Defend models and methodology during external audits.
• Help identify and quantify significant financial opportunities.
• Provide technical guidance and support to other team members.

What We’re Looking For

• 8+ years of data science/modeling experience
• Strong Python and SQL skills.
• Strong data modeling experience.
• Strong mathematical and statistical foundation.
• Experience with gradient boosting models.
• Proven ability to independently lead projects end-to-end.
• Excellent communication and presentation skills.
• Comfortable explaining technical work and model results to executives.
• Experience working through external audits and defending models.
• Finance/risk modeling experience within a regulated industry is required.

Required Domain Experience

You should have experience in areas such as:

• Credit risk modeling
• Financial or loss modeling
• Probability of Default (PD) modeling
• Credit scorecards
• Payment behavior modeling
• Credit attribute modeling
• Mortgage, credit card, banking, or credit bureau data
• Risk modeling within a regulated financial institution

Education

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Quantitative Engineering, or another highly quantitative field.
• Master’s degree in Data Science or a related quantitative discipline preferred.

The Ideal Candidate

This role is suited to a senior-level Data Scientist who can operate independently, drive complex projects, and communicate confidently with both technical and executive audiences.

Location: Tempe, AZ preferred; Dallas or Atlanta also considered
Working Model: Hybrid, 4 days per week (Monday-Thursday)
Compensation: $140,000-$150,000 base
Visa: U.S. Citizen or Green Card holder only

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Lead Backend Engineer – AI Services

The Role

We are looking for a Lead Backend Engineer to help bring AI/ML capabilities from prototype to production within an established SaaS platform.

This is a hands-on technical leadership role, not an engineering management or research position. You’ll work closely with Data Science to build scalable backend services, make architectural decisions, and integrate AI into customer-facing products.

What You’ll Do

• Build and evolve backend services across an established SaaS platform.
• Integrate LLMs, RAG, model serving, predictions, and scoring into production products.
• Partner with Data Science to take models and POCs from prototype through production.
• Design reusable infrastructure and patterns for AI development.
• Lead projects from architecture through delivery.
• Make build vs. buy and broader architectural decisions.
• Improve scalability, reliability, security, and maintainability.
• Communicate technical decisions and tradeoffs to senior leadership.

What We’re Looking For

• 15+ years of software engineering experience
• Strong server-side Java and backend engineering experience.
• Experience integrating AI/ML into commercial or customer-facing products.
• Proven experience taking projects from prototype to production.
• Strong architecture and system design skills.
• Experience working within and modernizing existing production platforms.
• Linux and cloud experience across AWS, Azure, or GCP.
• Strong engineering fundamentals including testing, CI/CD, monitoring, and security.
• Basic SQL and experience with data-centric platforms.
• Excellent communication and technical leadership skills.

AI/ML Experience

Experience with several of the following:

• Python / FastAPI
• MLflow
• LangChain or similar frameworks
• Vector databases / RAG
• LLM APIs
• Model serving
• ML pipelines
• Prompt engineering / agentic workflows

Ideal Background

You’ll be a strong fit if you have deep Java backend experience, have successfully put AI/ML into production, and enjoy working closely with Data Science to solve complex technical problems.

Experience with analytics, BI, decision-support applications, or healthcare is a plus.

100% Remote | U.S. Work Authorization Required

Compensation: $175,000-$210,000

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PRINCIPAL SOFTWARE ENGINEER

BAY AREA, CA (3 DAYS IN OFFICE)

$280,000 – $350,000+ (BASE + EQUITY)

An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.

THE COMPANY

A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.

THE ROLE

Hands-on engineering and AI work across the platform:

• Build agentic GenAI workflows using internal datasets
• Develop marketing and growth systems: email delivery, personalization, engagement tracking
• Create commercial AI models to understand user behavior and engagement
• Collaborate across product and engineering teams
• End-to-end coding, system design, and customer validation

YOUR SKILLS & EXPERIENCE

• Backend: Python, Django or Flask or FastAPI
• Frontend: React
• Cloud/Infrastructure: AWS
• Databases: PostgreSQL
• AI/ML: OpenAI; knowledge of agent systems helpful
• Experience with large-scale data and knowledge systems is a plus
• Comfortable working in a lean, high-ownership environment

HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

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