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Lead Analyst

£55,000 – £65,00 + bonus

Fully remote – UK based

If you’re an experienced analytics leader who loves influencing senior stakeholders, shaping strategy, and building scalable reporting ecosystems – this is the kind of role that gives you real ownership.

A well‑established organisation in the education and partnerships space is investing heavily in data transformation and modern BI capability. They’re looking for a Lead Analyst who can balance technical depth with strategic thinking, and who’s comfortable being the analytics voice in senior conversations.

This is a role where you won’t just report on performance – you’ll shape it.

✨ Why this role stands out

• You’ll act as the analytics lead across multiple teams including partnerships, marketing, and data platforms.
• You’ll drive the delivery of major data and BI transformation projects.
• You’ll build reporting frameworks, modern dashboards, and automated analytics workflows.
• You’ll partner with senior stakeholders and influence high‑level decision-making.
• You’ll mentor analysts and elevate analytics capability across the organisation.

What you’ll be doing

Programme & Project Leadership

• Lead delivery of analytics and reporting workstreams across multiple strategic initiatives.
• Build clear scopes, plans, milestones, and measurable outcomes.
• Ensure new dashboards, data models, and reporting structures are embedded and adopted.

Insight & Stakeholder Partnership

• Own insight delivery for performance reporting, forecasting, dashboards, and strategic KPI analysis.
• Prepare analytical outputs for senior leadership and partnership meetings.
• Identify trends, risks, and opportunities – and translate them into actionable recommendations.

Technical Ownership

• Lead BI and reporting development using modern analytics tools.
• Collaborate with data engineering teams to optimise data pipelines, models, and governance.
• Drive automation of recurring reports and implement analytics best practice.

Leadership & Coaching

• Mentor analysts, improving technical capability and data storytelling.
• Promote data literacy and help stakeholders self‑serve using dashboards and insights.
• Support cross‑functional analytics collaboration to ensure consistency and quality.

What you’ll bring

• 5+ years in analytics, BI, or insight leadership roles.
• Strong experience with Power BI or similar tools, including data modelling and visualisation.
• SQL/Excel proficiency and experience working with cloud-based data environments.
• Excellent communication and data storytelling skills.
• Ability to influence senior leaders and balance multiple priorities.

Desirable (not essential)

• Experience working in higher education, partnerships, or performance‑driven environments.
• Exposure to BI migration projects or modernisation programmes.
• Coaching, mentoring, or leadership experience.

Apply

To register your interest, apply below or email your CV Please note we cannot offer sponsorship for this position

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AI Platform Engineer

Location: London (Hybrid 2 Days in Office)

Salary: £90,000

This is a rare opportunity to shape the foundations of an AI function at a pivotal moment in a company’s transformation. You will play a lead role in building production‑ready AI systems that automate complex insurance journeys, with the freedom to influence architecture, engineering patterns and long‑term strategy.

The Company

They are a fast‑growing, tech‑led insurance provider specialising in complex and non‑standard risk. Their products are powered by a blend of smart technology and human expertise, enabling faster decisions, tailored coverage and scalable customer support.

With investment backing and a newly formed AI leadership team, they are now embarking on the next stage of their journey to become an AI‑driven insurer. This role represents one of the first senior hires into their AI team.

The Role

You will be responsible for:

• Build and operate production‑grade AI agents on GCP using Google’s ADK.
• Integrate AI systems with policy, claims and CRM platforms through secure REST and JSON API services.
• Develop scalable RAG pipelines including ingestion, text processing, metadata handling and vector search.
• Implement observability and evaluation frameworks covering monitoring, A/B testing, accuracy and safety metrics, and cost and latency dashboards.
• Contribute to architecture, engineering standards and AI product direction in partnership with the Head of AI.
• Support the development of agentic automation across core claims workflows and internal tools.

Your Skills and Experience

• Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems.
• Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model Garden and ADK.
• Strong Python skills for backend development, APIs and data processing.
• Hands‑on experience with LLMs, embeddings, RAG design, vector databases and retrieval pipelines.
• Experience deploying production AI with robust evaluation, monitoring, observability and automated testing.
• Solid exposure to DevOps tooling including CI/CD, Docker and Kubernetes.

How to Apply

If this sounds like the right next step for you, please apply with your CV to begin the process.

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Lead Analyst

£60,000-£70,000 + (up to) 20% Bonus

Fully Remote in the UK

Want to own the analytics function for a global organisation and actually influence commercial decisions? This is a rare opportunity to step into a Lead Analyst role where you’ll shape reporting, lead projects, manage a team, and play a central role in a major data transformation programme. You’ll have real autonomy, visibility with senior stakeholders, and the chance to build a best-in-class analytics capability in a business investing heavily in data!

The Company

A global education organisation supporting international students to study internationally, supporting students from application through to enrolment. The analytics team sits within the commercial and recruitment side of the business, working closely with marketing, partnerships, and regional leadership to drive performance through data; the business is currently undergoing a large-scale data transformation, including migration to Microsoft Fabric and a modern BI environment, making this a great time to join and shape the future state.

The Role

You’ll act as the senior analytics lead across partnerships and recruitment, combining hands-on delivery with leadership and stakeholder influence.

You will:

• Lead analytics and reporting across pipeline, conversion, and partner performance
• Manage and mentor a small team of analysts
• Own dashboards, data models, and reporting frameworks
• Partner with senior stakeholders across commercial, marketing, and tech teams
• Drive adoption of new BI tools and improved data processes
• Play a key role in migration to a modern data platform and reporting stack
• Deliver insight that informs strategy and commercial decision-making

This role blends hands-on analytics + stakeholder leadership + team management.

Your Skills & Experience

I am looking for someone who can balance technical delivery with commercial impact.

You’ll have

• Strong Power BI (or similar BI tool) experience including data modelling
• SQL skills
• Experience delivering analytics projects end-to-end
• Strong stakeholder management and communication skills
• Experience mentoring or managing analysts
• Comfort working in evolving or transforming data environments

The Benefits

• £60,000-£70,000
• Bonus – up to 20%

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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Lead Data Platform Engineer

Location: Remote (UK)

Salary: £85,000

This is a standout opportunity to take ownership of a modern Databricks‑driven data platform for a highly respected organisation that is investing seriously in data engineering, automation, and best‑in‑class practices.

The Company

They are a large, well‑established organisation with a strong reputation for delivering high‑quality services across the UK. With thousands of employees and a modern, flexible working culture, they combine professional excellence with a supportive and people‑focused environment.

Technology plays a key role in their long‑term strategy, and the data function is highly invested, credible, and growing. You will join a collaborative team of data engineers, ML engineers, and platform specialists.

The Role

You will act as the go‑to expert for the Databricks estate and Lakehouse platform, ensuring it is scalable, secure, automated, and built to best practice. You will work closely with engineers, architects, and senior stakeholders to build and enhance a robust data ecosystem in Azure.

Key responsibilities include:

• Designing and delivering end‑to‑end data platform solutions in Azure
• Developing and deploying the Lakehouse platform using Databricks
• Building automation for cluster management, integration runtimes, and infrastructure components
• Leading implementation with Databricks, PySpark, Spark SQL, and Azure Data Factory
• Creating APIs for integration and automation
• Driving CI/CD, automated testing, and DevOps best practice

Your Skills and Experience

You will have strong capability in:

• Azure and Databricks engineering
• PySpark, SQL, Python, and Spark SQL
• DevOps best practices including CI/CD, automation, and testing
• Infrastructure as code such as Terraform
• Stakeholder communication and cross‑team collaboration

How to Apply

If you are a strong Data Platform Engineer with deep Databricks experience and want to lead a modern Azure Lakehouse platform, please apply with your CV!

To Apply for this Job Click Here

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Pricing Analyst
London, Hybrid
Up to £80,000

This is an excellent opportunity to join a growing, data‑led organisation where pricing is core to commercial performance. You will take ownership of pricing analytics across buying and selling, influence strategy, and work closely with senior stakeholders in a fast‑paced environment.

The Company
We are a large, international eCommerce business operating across multiple markets with a strong focus on sustainability and digital innovation. Data sits at the centre of our decision‑making, and we are scaling their analytics capabilities as they continue to grow. You will join a collaborative team that partners closely with commercial, product, operations and technology functions to optimise performance.

The Role

• Lead analysis across buying and selling to shape pricing strategy and identify performance drivers.
• Build and maintain dashboards, reporting and metrics relied upon across the organisation.
• Run deep‑dives, simulations and pricing trials to evaluate impact and support strategic decisions.
• Validate, manipulate and interrogate large datasets to deliver clear, high‑quality insights.
• Communicate findings to senior and non‑technical stakeholders in a clear, commercial way.
• Automate recurring analytics processes to increase efficiency and analytical maturity.
• Contribute to cross‑functional pricing initiatives and wider analytics projects.

Your Skills and Experience
Looking for minimum 5 years of experience working with pricing.

• Strong commercial experience working in Pricing, with ownership of pricing analysis or pricing strategy.
• Advanced SQL skills and confidence working with large, complex datasets.
• Experience with BI tools such as Tableau, Power BI or Looker.
• Proven ability to run experiments or evaluate pricing trials.
• Strong communication skills, with the ability to translate technical work into actionable insights.
• A proactive, hands‑on approach and confidence operating in a fast‑moving environment.
• Experience with Python or R is beneficial but not essential.

What We Offer
* Salary up to 80000 plus benefits.
* Hybrid working from their London office.
* The opportunity to shape pricing decisions in a data‑driven, purpose‑led organisation.
* Exposure to senior stakeholders and clear scope to broaden your analytics skill set.

How to Apply
If this Pricing Analyst role sounds like the right fit for you, please apply with your CV.

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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.

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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

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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

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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

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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