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Lead Analyst
London Bridge or Remote (with occasional office visits)
£55,000 to £65,000, plus up to 20% bonus

This is a standout opportunity to take ownership in a growing analytics function that is investing heavily in data transformation. You will influence strategy, shape reporting capability, and coach a developing team while working closely with international recruitment and marketing stakeholders.

The Company
They are a global education organisation that supports international students in progressing to university study across multiple destinations. Their work spans student recruitment, pathway programmes, and extensive support services. With a large international footprint and a growing focus on data maturity, they are building the foundations for scalable decision-making and long-term analytics capability.

The Role
In this Lead Analyst position you will play a key role in shaping analytics for recruitment and marketing, acting as a bridge between reporting, engineering, and commercial teams.
You will be responsible for:

• Delivering pipeline analysis, conversion reporting, and agent performance insights.
• Owning BAU reporting and early-stage forecasting across recruitment teams.
• Leading the enhancement and repurposing of dashboards and analytics products.
• Translating stakeholder requirements into clear specifications for data engineering and IT teams.
• Managing workload prioritisation and pushing back confidently where needed.
• Coaching analysts and executives, building capability, and supporting team autonomy.
• Contributing to major data transformation programmes, including the move to Microsoft Fabric, lakehouse architecture, and Power BI.
• Supporting reporting migration, validation, and quality assurance.
• Working on early forecasting models with opportunities to collaborate on data science projects over time.

Your Skills and Experience
You will be well suited to this role if you bring:

• Strong commercial experience in analytics, business intelligence, or data-focused roles.
• Proven ability to deliver analytics projects end to end.
• Confidence engaging and influencing senior stakeholders through collaboration.
• Experience coaching, mentoring, or managing junior analysts.

If this Lead Analyst role sounds like the right next step, click apply to begin the conversation.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Research Engineer

London (Hybrid – 2 days in office)
Competitive salary between £60,000 – £70,000 + bonus and benefits

This is a great opportunity for an AI Research Engineer who wants to work on applied AI. You will be joining a newly created AI function with investment and a clear mandate to transform how a specialist insurer operates using LLMs, agents, and automation across the claims journey.

The Company

They are a UK-based, digitally led specialist home insurer with a strong focus on complex and non-standard insurance. Technology, data, and AI are at the heart of how they operate, with a culture that feels closer to a tech company than a traditional insurer. Following recent investment, they are midway through a multi-year growth and transformation cycle where AI is a core strategic priority. You will be joining at a time when the AI team is growing, the roadmap is ambitious, and there is space to shape how things are done.

The Role

As an AI Research Engineer, you will sit within a small but rapidly scaling AI team, working alongside an AI Platform Engineer and reporting into the Head of AI. Your focus is on applied AI/ML research, fast experimentation, and turning ideas into working prototypes that can be adopted by the business.

You will:

• Rapidly prototype, test, and compare LLMs and embeddings for real product and claims use cases.
• Build features and enhancements for AI-first internal products, including their internal AI agent used by operations teams.
• Develop AI agents that support claims automation.
• Design, build, and improve evaluation frameworks.
• Run ongoing testing and monitoring.
• Work closely with Claims Operations and product stakeholders.

Your Skills And Experience

You will succeed in this role if you have:

• Strong Python engineering skills for backend services and API integrations.
• Hands-on experience working with LLMs and related tooling, including:
• LLMs RAG patterns, vector databases, function calling, and prompt design.
• Solid experience with Google Cloud Platform, ideally including:
• Vertex AI, Model Garden, BigQuery, Cloud Run or Cloud Functions
• Ability to turn ideas and problem statements into working prototypes that can be demonstrated to non-technical stakeholders.
• Strong collaboration skills, with experience working closely with operations or product teams to validate AI behaviour and refine solutions.

What They Offer

• Competitive salary plus annual bonus and comprehensive benefits package.
• Hybrid working
• The chance to join an AI function at an early stage, with direct access to the Head of AI and significant influence over tools, practices, and roadmap.
• Real ownership of impactful projects, with a clear link between your work and business outcomes in claims and operations.
• Ongoing professional development, including opportunities to broaden into AI product, platform, or leadership as the team scales.

How To Apply

Please register your interest by sending your CV to Madison Barlow via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist (LLM)

Location: Chicago

Salary: Up to $170,000 + Benefits

An exciting opportunity has arisen for a Data Scientist to join a global SaaS organization that is transforming decision-making across a critical sector. With thousands of clients worldwide, this company is dedicated to delivering innovative solutions that drive measurable impact and operational efficiency.

The Role

The successful candidate will join a high-performing Analytics & Insights team, responsible for building predictive models and intelligent data pipelines that enable data-driven strategies. This position plays a key role in shaping product development and improving customer outcomes.

Key Responsibilities:

• Develop advanced statistical models and machine learning algorithms for predictive analytics and forecasting.
• Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks.
• Design and implement experiments to validate product impact and optimize outcomes.
• Collaborate with engineers, product managers, and domain experts to translate business challenges into data solutions.
• Implement monitoring and validation tools to ensure data quality and reliability.

What They’re Looking For

• Mid-level experience in data science or machine learning, ideally within SaaS or a data-driven industry.
• Proven track record of building and deploying end-to-end data solutions.
• Strong knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design.
• Hands-on experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms like AWS/GCP/Azure).
• Ability to troubleshoot and maintain scalable data workflows.
• A collaborative mindset and passion for using data to drive impact.

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Title: Data Governance Lead

Location: Flexible / Hybrid (Global role)

Organisation: Global Charity (International Operations)

Employment Type: Full-time

About Us

This global charity dedicated to creating lasting social impact across multiple regions worldwide. By combining strong partnerships, evidence-led decision-making, and innovative programmes, we strive to improve lives and build sustainable change. Data plays a central role in how we measure outcomes, ensure accountability, and drive informed decisions across our global network.

The Role

They are looking for an experienced and values-driven Data Governance Lead to shape and oversee our organisation-wide data governance framework. Reporting to senior leadership, you will lead a small, high-performing team and work collaboratively with colleagues across programmes, fundraising, operations, and technology.

This is an exciting opportunity to build strong governance practices that enable safe, ethical, and effective use of data across an international charity environment.

Key Responsibilities

• Develop and implement a clear data governance strategy aligned with organisational goals
• Lead and mentor a small data governance team, fostering collaboration and continuous improvement
• Establish data policies, standards, and procedures to improve data quality, consistency, and accessibility
• Ensure compliance with relevant data protection and privacy regulations across multiple regions
• Act as the organisation’s subject matter expert on data governance and stewardship
• Partner with stakeholders to promote data literacy and a data-driven culture
• Oversee data ownership models, metadata management, and data lifecycle practices
• Identify and mitigate data-related risks
• Support ethical and responsible use of data in programme delivery and reporting

About You

You are a strategic thinker with strong leadership skills and a passion for using data responsibly to support meaningful impact.

Essential experience and skills:

• Proven experience in data governance, data management, or information governance roles
• Experience leading or mentoring a small team
• Strong understanding of data protection and privacy principles (e.g., GDPR and global equivalents)
• Ability to translate technical concepts into clear, practical guidance for non-technical stakeholders
• Excellent stakeholder management and communication skills
• Experience developing policies, frameworks, and governance models

Desirable:

• Experience working in the charity, NGO, or international development sector
• Familiarity with cloud-based data environments and modern data platforms
• Knowledge of data quality, master data management, or data stewardship frameworks

What We Offer

• Meaningful work with global impact
• Flexible and supportive working environment
• Opportunities for professional development
• Collaborative and mission-driven culture
• Competitive salary and benefits package

How to Apply

Please submit your CV and a short cover letter outlining your experience and motivation for the role.

To Apply for this Job Click Here

To Apply for this Job Click Here

MLOps Engineer

London Based – Hybrid (Three days per week on site)
£90,000 to £110,000 plus bonus

This is an exciting opportunity to join a mission driven cleantech scale up as they continue to grow their data and AI function. You will help shape a modern MLOps environment, working on impactful machine learning deployments that directly support smarter, cleaner energy systems.

The Company

They are a fast growing technology scale up within the energy and electric space. The team is collaborative, customer focused, and driven by a strong product mindset. You would be joining a small, high impact data group with experienced engineers and the opportunity to take real ownership.

The Role

In this MLOps Engineer role, you will contribute to the design, deployment and optimisation of production ML systems.

Responsibilities include:

• Supporting data scientists and AI engineers to build, deploy and monitor ML models in production environments.
• Managing ML lifecycle
• Designing scalable ML pipelines for training, validation and deployment.
• Implementing CI/CD workflows for machine learning and maintaining reliable ML endpoints.
• Working heavily with AWS, including SageMaker, to deliver robust, secure and scalable ML infrastructure.
• Applying strong engineering standards across cloud, DevOps and automation practices.
• Contributing to computer vision and broader ML workloads, with scope to support new AI initiatives as they grow.

Your Skills and Experience

To succeed, you will bring strong commercial experience in:

• Python and applied ML engineering.
• MLOps tooling such as MLflow and modern experiment tracking platforms.
• Deploying models into production, including monitoring, testing and automation.
• AWS, with practical experience using SageMaker.
• Cloud and DevOps foundations including Docker and AWS
• Building scalable data and ML pipelines with solid engineering practices.
• You work well in fast paced environments, communicate clearly, and enjoy collaborating with cross functional teams.

What They Offer

• Competitive salary plus discretionary bonus.
• Hybrid working with three days each week in their London office.
• A high impact role within a growing data and AI team.
• Strong ownership, rapid development opportunities and exposure to modern ML tooling.
• A mission led environment focused on accelerating the transition to clean energy.

How To Apply

Please register your interest by sending your CV to Madison Barlow via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

MLOps Engineer

London Based – Hybrid (Three days per week on site)
£80,000 to £90,000 plus bonus

This is an exciting opportunity to join a mission driven cleantech scale up as they continue to grow their data and AI function. You will help shape a modern MLOps environment, working on impactful machine learning deployments that directly support smarter, cleaner energy systems.

The Company

They are a fast growing technology scale up within the energy and electric space. The team is collaborative, customer focused, and driven by a strong product mindset. You would be joining a small, high impact data group with experienced engineers and the opportunity to take real ownership.

The Role

In this MLOps Engineer role, you will contribute to the design, deployment and optimisation of production ML systems.

Responsibilities include:

• Supporting data scientists and AI engineers to build, deploy and monitor ML models in production environments.
• Managing ML lifecycle
• Designing scalable ML pipelines for training, validation and deployment.
• Implementing CI/CD workflows for machine learning and maintaining reliable ML endpoints.
• Working heavily with AWS, including SageMaker, to deliver robust, secure and scalable ML infrastructure.
• Applying strong engineering standards across cloud, DevOps and automation practices.
• Contributing to computer vision and broader ML workloads, with scope to support new AI initiatives as they grow.

Your Skills and Experience

To succeed, you will bring strong commercial experience in:

• Python and applied ML engineering.
• MLOps tooling such as MLflow and modern experiment tracking platforms.
• Deploying models into production, including monitoring, testing and automation.
• AWS, with practical experience using SageMaker.
• Cloud and DevOps foundations including Docker and AWS
• Building scalable data and ML pipelines with solid engineering practices.
• You work well in fast paced environments, communicate clearly, and enjoy collaborating with cross functional teams.

What They Offer

• Competitive salary plus discretionary bonus.
• Hybrid working with three days each week in their London office.
• A high impact role within a growing data and AI team.
• Strong ownership, rapid development opportunities and exposure to modern ML tooling.
• A mission led environment focused on accelerating the transition to clean energy.

HOW TO APPLY

Please register your interest by sending your CV to Madison Barlow via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Pricing Manager
Hybrid – Manchester
Up to £56000 plus benefits

This is a rare chance to shape the pricing vision for a major transport provider during a period of long term investment and commercial transformation. You will take ownership of pricing strategy, lead key reform initiatives and help build a cohesive revenue and pricing function.

The Role

* Lead the development and delivery of the end to end pricing strategy.

* Set the pricing vision grounded in customer insight and customer led design.

* Manage and mentor the Pricing Manager, ensuring high quality technical delivery.

* Respond to pricing challenges from commercial, analytics and wider teams.

* Shape strategic pricing approaches across revenue, retail and customer initiatives.

* Drive innovation through large scale pricing trials and market reform projects.

* Support the integration of pricing and revenue under a unified function.

Your Skills and Experience

* Strong commercial experience in pricing and strategy within a complex environment.

* Proven ability to design, deliver and scale pricing projects and trials.

* Experience working on pricing reform or structural change initiatives.

* Effective stakeholder management skills and confidence working cross functionally.

* Creative, proactive and comfortable setting direction as well as influencing others.

What They Offer

* Salary up to £56000 plus comprehensive benefits.

How to Apply

If you are interested in shaping pricing strategy for a major transport organisation, please apply today.

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Data and Infrastructure

Up to £140,000

Remote with monthly meet-ups in London

This is a rare chance to become the first senior technical hire within a fast-growing data consultancy that is redefining how modern professional services operate. If you enjoy shaping technical strategy from the ground up, working directly with clients, and building data platforms that enable automation and predictive insights, this role offers genuine impact and ownership.

THE COMPANY

They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed organisations and the music industry.

THE ROLE

As a Head of Data and Infrastructure you will act as a strategic client-facing technical leader responsible for designing and delivering end-to-end data platforms.

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

• Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs.
• Ownership of data infrastructure, ETL pipelines and automation workflows.
• Creating centralised, well-structured data environments from unstructured sources.
• Advising clients on how to evolve towards predictive and machine learning capabilities.
• Staying hands-on where needed while setting long-term technology direction.

SKILLS AND EXPERIENCE

The successful Head of Data and Infrastructure will have the following skills and experience:

• Strong expertise across data engineering, data infrastructure and cloud-based architecture.
• Proven capability designing and delivering end-to-end data platforms.
• Hands on experience with ETL development, data modelling and data normalization.
• Background in AWS environments and modern orchestration tools such as Airflow or Dagster.
• Confidence leading client conversations, running workshops and defining solutions
• Experience within the music industry is a significant advantage.

BENEFITS

The successful Head of Data and Infrastructure will receive the following benefits:

• Salary between £120,000 – £140,000 – depending on experience.
• EMI scheme with option to trade salary for additional equity.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Data and Infrastructure

Up to £140,000

Remote with monthly meet-ups in London

This is a rare chance to become the first senior technical hire within a fast-growing data consultancy that is redefining how modern professional services operate. If you enjoy shaping technical strategy from the ground up, working directly with clients, and building data platforms that enable automation and predictive insights, this role offers genuine impact and ownership.

THE COMPANY

They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed organisations and the music industry.

THE ROLE

As a Head of Data and Infrastructure you will act as a strategic client-facing technical leader responsible for designing and delivering end-to-end data platforms.

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

• Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs.
• Ownership of data infrastructure, ETL pipelines and automation workflows.
• Creating centralised, well-structured data environments from unstructured sources.
• Advising clients on how to evolve towards predictive and machine learning capabilities.
• Staying hands-on where needed while setting long-term technology direction.

SKILLS AND EXPERIENCE

The successful Head of Data and Infrastructure will have the following skills and experience:

• Strong expertise across data engineering, data infrastructure and cloud-based architecture.
• Proven capability designing and delivering end-to-end data platforms.
• Hands on experience with ETL development, data modelling and data normalization.
• Background in AWS environments and modern orchestration tools such as Airflow or Dagster.
• Confidence leading client conversations, running workshops and defining solutions
• Experience within the music industry is a significant advantage.

BENEFITS

The successful Head of Data and Infrastructure will receive the following benefits:

• Salary between £120,000 – £140,000 – depending on experience.
• EMI scheme with option to trade salary for additional equity.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Data and Infrastructure

Up to £140,000

Remote with monthly meet-ups in London

This is a rare chance to become the first senior technical hire within a fast-growing data consultancy that is redefining how modern professional services operate. If you enjoy shaping technical strategy from the ground up, working directly with clients, and building data platforms that enable automation and predictive insights, this role offers genuine impact and ownership.

THE COMPANY

They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed organisations and the music industry.

THE ROLE

As a Head of Data and Infrastructure you will act as a strategic client-facing technical leader responsible for designing and delivering end-to-end data platforms.

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

• Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs.
• Ownership of data infrastructure, ETL pipelines and automation workflows.
• Creating centralised, well-structured data environments from unstructured sources.
• Advising clients on how to evolve towards predictive and machine learning capabilities.
• Staying hands-on where needed while setting long-term technology direction.

SKILLS AND EXPERIENCE

The successful Head of Data and Infrastructure will have the following skills and experience:

• Strong expertise across data engineering, data infrastructure and cloud-based architecture.
• Proven capability designing and delivering end-to-end data platforms.
• Hands on experience with ETL development, data modelling and data normalization.
• Background in AWS environments and modern orchestration tools such as Airflow or Dagster.
• Confidence leading client conversations, running workshops and defining solutions
• Experience within the music industry is a significant advantage.

BENEFITS

The successful Head of Data and Infrastructure will receive the following benefits:

• Salary between £120,000 – £140,000 – depending on experience.
• EMI scheme with option to trade salary for additional equity.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Data and Infrastructure

Up to £140,000

Remote with monthly meet-ups in London

This is a rare chance to become the first senior technical hire within a fast-growing data consultancy that is redefining how modern professional services operate. If you enjoy shaping technical strategy from the ground up, working directly with clients, and building data platforms that enable automation and predictive insights, this role offers genuine impact and ownership.

THE COMPANY

They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed organisations and the music industry.

THE ROLE

As a Head of Data and Infrastructure you will act as a strategic client-facing technical leader responsible for designing and delivering end-to-end data platforms.

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

• Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs.
• Ownership of data infrastructure, ETL pipelines and automation workflows.
• Creating centralised, well-structured data environments from unstructured sources.
• Advising clients on how to evolve towards predictive and machine learning capabilities.
• Staying hands-on where needed while setting long-term technology direction.

SKILLS AND EXPERIENCE

The successful Head of Data and Infrastructure will have the following skills and experience:

• Strong expertise across data engineering, data infrastructure and cloud-based architecture.
• Proven capability designing and delivering end-to-end data platforms.
• Hands on experience with ETL development, data modelling and data normalization.
• Background in AWS environments and modern orchestration tools such as Airflow or Dagster.
• Confidence leading client conversations, running workshops and defining solutions
• Experience within the music industry is a significant advantage.

BENEFITS

The successful Head of Data and Infrastructure will receive the following benefits:

• Salary between £120,000 – £140,000 – depending on experience.
• EMI scheme with option to trade salary for additional equity.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Data and Infrastructure

Up to £140,000

Remote with monthly meet-ups in London

This is a rare chance to become the first senior technical hire within a fast-growing data consultancy that is redefining how modern professional services operate. If you enjoy shaping technical strategy from the ground up, working directly with clients, and building data platforms that enable automation and predictive insights, this role offers genuine impact and ownership.

THE COMPANY

They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed organisations and the music industry.

THE ROLE

As a Head of Data and Infrastructure you will act as a strategic client-facing technical leader responsible for designing and delivering end-to-end data platforms.

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

• Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs.
• Ownership of data infrastructure, ETL pipelines and automation workflows.
• Creating centralised, well-structured data environments from unstructured sources.
• Advising clients on how to evolve towards predictive and machine learning capabilities.
• Staying hands-on where needed while setting long-term technology direction.

SKILLS AND EXPERIENCE

The successful Head of Data and Infrastructure will have the following skills and experience:

• Strong expertise across data engineering, data infrastructure and cloud-based architecture.
• Proven capability designing and delivering end-to-end data platforms.
• Hands on experience with ETL development, data modelling and data normalization.
• Background in AWS environments and modern orchestration tools such as Airflow or Dagster.
• Confidence leading client conversations, running workshops and defining solutions
• Experience within the music industry is a significant advantage.

BENEFITS

The successful Head of Data and Infrastructure will receive the following benefits:

• Salary between £120,000 – £140,000 – depending on experience.
• EMI scheme with option to trade salary for additional equity.

HOW TO APPLY

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

To Apply for this Job Click Here