data & AI
Diversity Report

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HEAD OF ENGINEERING
Remote (UK)
up to £130,000

HEAD OF ENGINEERING
This is a great opportunity to join a high‑growth organisation where you can take ownership of the Engineering function and play a critical role in scaling a sophisticated AI‑driven platform used by leading pharmaceutical companies.

THE COMPANY:

This business is operating at the intersection of AI, data science and pharmaceutical R&D with a mission is to make discoveries faster, smarter and more efficient.

THE ROLE:

You will take ownership of the Engineering function, providing leadership across technical delivery, people management and engineering operations. Key responsibilities include:

• Leading and scaling the Engineering team as the business grows
• Establishing strong engineering processes, standards and ways of working
• Providing architectural oversight and technical direction across the platform
• Ensuring high‑quality, on‑time delivery of complex, enterprise‑grade projects
• Developing, mentoring and supporting senior engineers and technical leaders

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands‑on engineering leadership within fast‑paced startup environments
• Backend, data engineering or full‑stack systems at scale
• Technical strategy, architecture and long‑term platform design
• Managing and empowering highly capable senior engineers
• Cross‑functional delivery, stakeholder management and prioritisation

THE BENEFITS:

You will receive a salary up to £130,000 depending on experience, along with a comprehensive benefits package. This is a fully remote role within a growing Series A business, offering significant scope for impact, ownership and progression.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

HEAD OF ENGINEERING
Remote (UK)
up to £130,000

HEAD OF ENGINEERING
This is a great opportunity to join a high‑growth organisation where you can take ownership of the Engineering function and play a critical role in scaling a sophisticated AI‑driven platform used by leading pharmaceutical companies.

THE COMPANY:

This business is operating at the intersection of AI, data science and pharmaceutical R&D with a mission is to make discoveries faster, smarter and more efficient.

THE ROLE:

You will take ownership of the Engineering function, providing leadership across technical delivery, people management and engineering operations. Key responsibilities include:

• Leading and scaling the Engineering team as the business grows
• Establishing strong engineering processes, standards and ways of working
• Providing architectural oversight and technical direction across the platform
• Ensuring high‑quality, on‑time delivery of complex, enterprise‑grade projects
• Developing, mentoring and supporting senior engineers and technical leaders

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands‑on engineering leadership within fast‑paced startup environments
• Backend, data engineering or full‑stack systems at scale
• Technical strategy, architecture and long‑term platform design
• Managing and empowering highly capable senior engineers
• Cross‑functional delivery, stakeholder management and prioritisation

THE BENEFITS:

You will receive a salary up to £130,000 depending on experience, along with a comprehensive benefits package. This is a fully remote role within a growing Series A business, offering significant scope for impact, ownership and progression.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Forward Deployed AI Engineer – Fully Remote

This is a rare opportunity to join an early stage, AI first biotech platform where you will sit at the intersection of advanced engineering and real world scientific impact. You will work directly with customers, deploying cutting edge AI into live research environments and helping teams accelerate how new drugs are discovered and developed.

The Role

• Act as a forward deployed engineer, working closely with client teams to design, build and deploy AI driven solutions on the platform
• Translate complex research and business questions into production ready LLM and RAG workflows
• Debug, optimise and scale LLM applications in real world, client facing environments
• Build and integrate data pipelines and services across cloud platforms and modern data stacks
• Collaborate with non technical stakeholders, clearly explaining platform capabilities and guiding them through best practice usage
• Feed learnings from deployments back into product and engineering teams to shape the roadmap

Your Skills and Experience

• Strong commercial engineering experience in AI, machine learning or data focused roles
• Hands on experience with retrieval augmented generation and production LLM workflows
• Confidence debugging and improving end to end LLM systems in live environments
• Experience working with modern data infrastructure such as Snowflake, BigQuery or Redshift
• Familiarity with graph databases and knowledge graphs, for example Neo4j, is highly desirable
• Comfortable in client facing environments, with the ability to work closely with non technical stakeholders
• Background in consultancy, product led organisations or start ups working closely with end users is beneficial
• No prior biotech experience required, but curiosity and the ability to learn complex domains quickly is essential

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To Apply for this Job Click Here

DATA PRODUCT MANAGER

UP TO £80,000

LIVERPOOL STREET, LONDON

OVERVIEW

We are hiring a Data Product Manager to join a fast-growing, PE-backed telecommunications business undergoing a major data transformation.

This is a high-visibility role focused on shaping and delivering data products that support commercial growth, analytics enablement, real-time data, and AI use cases across multiple markets.

THE COMPANY

Our client is a rapidly scaling telecommunications business with significant investment in Digital, Data, and Analytics.

The data function is mature, highly regarded, and central to future growth. The business is investing in a modern data platform, including next-generation data lake capabilities, real-time analytics, AI-enabled use cases, and improved self-service reporting.

RESPONSIBILITIES

• Own the end-to-end lifecycle of data products, from discovery to delivery and iteration
• Define and manage the data product roadmap
• Act as the link between business stakeholders, data engineering, analytics, and technology teams
• Translate commercial and technical requirements into scalable data solutions
• Support delivery of modern data platform initiatives, including real-time data capabilities
• Enable analytics and market teams to self-serve data more effectively
• Support use cases across customer insight, churn, ARPU, profitability, and network optimisation
• Communicate product updates, priorities, and roadmap progress to stakeholders
• Support incident management and platform-related administration where required

SKILLS AND EXPERIENCE

• 3-5 years’ experience in data-focused roles
• Strong hands-on experience with Databricks
• Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial
• Background in data product, data engineering, business analysis, analytics, or platform delivery
• Strong understanding of how data platforms support business outcomes
• Excellent communication and stakeholder management skills
• Confident, commercially minded, and able to challenge where needed
• Consultancy or data transformation experience would be highly attractive

To Apply for this Job Click Here

To Apply for this Job Click Here

Forward Deployed Engineer (AI and Knowledge Graphs)

London – UK Remote

The Company
They are a Series A funded AI startup building a platform that brings together vast, fragmented scientific data into an interactive knowledge graph. Their technology maps cause and effect relationships between diseases, proteins and drugs to accelerate drug discovery and research. With strong commercial traction and a growing client base across pharma, biotech and research organisations, they are scaling a small, highly collaborative team across engineering and solutions.

The Role
As a Forward Deployed Engineer, you will work directly with end clients to take the platform from trial through to production deployment, acting as a technical partner throughout the journey. You will balance hands on engineering with customer facing problem solving, translating complex requirements into robust, scalable solutions.
Key responsibilities include:

• Leading technical delivery for customer integrations, from scoping through to production rollout
• Working closely with end users ranging from highly technical teams to more non technical stakeholders
• Designing and building AI driven workflows, including LLM and retrieval augmented generation use cases
• Integrating knowledge graph data into customer environments using APIs, graph databases or analytical platforms
• Partnering with a solutions consultant who brings deep industry expertise, while you own technical feasibility and execution
• Feeding recurring customer needs back into the core product to support long term scalability

Your Skills and Experience
You will bring a strong engineering foundation and enjoy working close to customers in fast paced, ambiguous environments.
Key requirements include:

• Strong commercial experience building and deploying AI or LLM powered systems into production
• Hands on experience designing, building and debugging LLM workflows, including familiarity with RAG approaches
• Experience working with modern data platforms and warehouses such as Snowflake or BigQuery
• Exposure to graph databases and knowledge graphs is highly desirable, (Neo4J)
• Comfort working in small teams or startup environments, with a proactive, delivery focused mindset
• Ability to communicate clearly with both technical and non technical stakeholders

What They Offer

• The chance to work on meaningful technology with real impact on healthcare and drug discovery
• A small, collaborative team environment with direct access to senior leadership
• Genuine flexibility around location and working style
• Strong scope for career growth as the company scales

How to Apply
If you are excited by customer facing engineering, applied AI and working in a high impact startup environment, apply now to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Product Analyst

London (Hybrid)
Up to £100,000 + Benefits

I am recruiting for a Lead Product Analyst to join a fast-growing fintech business, working on a multi-product consumer app used by over a million customers.

This is a high-impact role where you’ll play a key part in shaping product strategy through data, working closely with product, growth, and engineering teams to improve user experience and drive performance.

The Role

• Lead product analytics across a large-scale consumer app
• Analyse user behaviour, engagement, and lifecycle trends
• Own the end-to-end experimentation process (A/B testing)
• Build dashboards, metrics, and reporting frameworks
• Identify growth opportunities and product improvements
• Partner with product and engineering teams to influence decision-making
• Translate complex analysis into clear, actionable insights

What They’re Looking For

• 5+ years’ experience in data or product analytics
• Strong experience with experimentation (A/B testing, hypothesis testing)
• Ability to turn complex data into clear business recommendations
• Experience working in product-led or high-growth environments
• Strong stakeholder management and communication skills
• Exposure to fintech or consumer apps (nice to have)

Benefits

• Competitive salary
• Hybrid working
• High-impact, strategic role
• Opportunity to shape product direction at scale
• Collaborative, fast-paced environment

How to Apply

Please send your CV to Keji Adebari via the Apply link or message me directly

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist

Eindhoven, hybrid (2 days per week on site) | €78,000 base salary, up to €84,000 total package

This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.

The Company

They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.

The Role

• Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
• Translate business and marketing questions into robust data science approaches and clear insights.
• Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
• Apply clustering and segmentation techniques to support audience and performance strategies.
• Advise stakeholders on measurement frameworks, methodologies and implementation.
• Balance hands on analysis and modelling with client consulting and communication.

Your Skills and Experience

• Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
• Proven ability to communicate complex analytical outputs to non technical stakeholders.
• Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
• Confident using Python and SQL for analysis and modelling.
• Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
• Fluent Dutch and English, with the ability to operate professionally in both languages.

What They Offer

• No regular client travel, with clients invited on site for workshops and reviews.
• Strong career development within a growing data science and consulting function.

How to Apply

Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.

This is a standout opportunity for a client facing Data Scientist who enjoys combining hands on analytics with advisory work. You will sit at the intersection of data science, marketing and consulting, helping translate complex modelling into clear, commercially relevant insights for senior stakeholders. With strong demand for data driven marketing projects, this role offers genuine impact and visibility.

The Company

They are a large, established media and marketing organisation with a strong data culture and a core data function of around 50 specialists. Alongside this, a small centralised data science team is being built to support high impact internal and client projects. The environment blends the pace of consulting with the depth of advanced analytics, working closely with marketing and media teams.

The Role

• Act as a client facing Data Scientist supporting a growing portfolio of marketing and media projects.
• Translate business and marketing questions into robust data science approaches and clear insights.
• Lead and contribute to projects such as marketing mix modelling, lift studies, attribution and experimentation.
• Apply clustering and segmentation techniques to support audience and performance strategies.
• Advise stakeholders on measurement frameworks, methodologies and implementation.
• Balance hands on analysis and modelling with client consulting and communication.

Your Skills and Experience

• Strong commercial experience as a Data Scientist or Data Analyst in a client facing or advisory environment.
• Proven ability to communicate complex analytical outputs to non technical stakeholders.
• Experience working on marketing or media related analytics such as MMM, attribution, experimentation or similar.
• Confident using Python and SQL for analysis and modelling.
• Solid statistical modelling capability without needing to be a dedicated machine learning engineer.
• Fluent Dutch and English, with the ability to operate professionally in both languages.

What They Offer

• No regular client travel, with clients invited on site for workshops and reviews.
• Strong career development within a growing data science and consulting function.

How to Apply

Apply now to discuss how this client facing Data Scientist role could be the next step in your data and consulting career.

To Apply for this Job Click Here