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Senior Data Scientist

London – Remote

The Company

They are a global, data-driven technology business operating at the intersection of AI, advanced analytics and large-scale data platforms. Their products are used internationally to generate insight from complex datasets and to support better decision-making. With a strong focus on innovation and collaboration, they invest heavily in modern AI capabilities and encourage their teams to explore new approaches. The culture values curiosity, accountability and clear communication across technical and non-technical teams.

The Role

• Lead the research, development and validation of advanced machine learning models, including Generative AI and large language models.
• Design and deliver synthetic data and data augmentation solutions that enhance existing data assets.
• Run complex statistical experiments to test model performance and validate hypotheses.
• Work closely with Product and Engineering to move models from prototype into scalable, production-ready solutions.
• Translate business problems into clear, data-driven AI initiatives and communicate outcomes to a broad range of stakeholders.
• Contribute to the wider AI and data science roadmap, setting best practice and technical standards.

Your Skills and Experience

• Strong commercial experience as a Data Scientist working on end-to-end machine learning projects.
• Deep understanding of Generative AI, large language models and their application to text generation or data synthesis.
• Advanced Python skills within a data science and machine learning stack, alongside strong SQL capability.
• Solid grounding in statistical methods, experimentation and model evaluation.
• Experience working with large-scale datasets and modern data platforms.
• Ability to explain complex technical concepts clearly to non-technical audiences.

What They Offer

• The chance to work on cutting-edge AI and synthetic data problems at global scale.
• Clear opportunities for progression and technical influence as the AI function continues to grow.
• A collaborative, inclusive environment that supports learning and innovation.

How to Apply
If this role aligns with your experience and career goals, please apply to discuss the opportunity in more detail.

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Analytics Engineer

Farringdon, London/ HYBRID

UP TO £60,000

Overview

This is a standout opportunity to join a growing data function at an organisation where data is becoming central to how the business operates. You will step into a highly visible role with real influence, owning end to end delivery across data pipelines, modelling, and reporting while helping to shape standards and ways of working from an early stage.

The Company

They are a globally operating design and professional services organisation delivering complex projects across a wide range of sectors. Headquartered in London, the business works internationally and is known for its ambitious, design led approach. Data is increasingly important to how they manage operations, finance, and decision making, and the data capability is now being built with long term scale in mind.

The Role & Responsibilities

• Build, manage, and maintain end to end data pipelines using Azure-based tooling.
• Develop and evolve a lakehouse-style platform, with Databricks used primarily for transformation and modelling.
• Integrate data from core business systems such as finance and HR via APIs and structured feeds.
• Translate business requirements into robust, scalable data models using best practice approaches.
• Own the semantic layer and reporting layer in Power BI, enabling trusted self-serve analytics.
• Work closely with stakeholders across the business to define how data should be structured and used.
• Play a key role in shaping data standards, patterns, and foundations as the team grows.

Skills and Experience

• Strong commercial experience working in a cloud data environment, ideally Azure.
• Solid SQL capability and confidence building reliable transformation logic.
• Experience with data modelling concepts such as star schema, Kimball-style modelling, and semantic layers.
• Power BI experience across data modelling, DAX, and report development.
• Exposure to Databricks and lakehouse concepts, including incremental loads and snapshotting.
• Comfortable engaging with non-technical stakeholders and translating requirements into data solutions.

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Analytics Engineer

Farringdon, London | Up to £60,000 plus bonus

This is a standout opportunity for an Analytics Engineer to join a globally recognised design-led organisation at a pivotal point in its data journey. You will play a key role in shaping the foundations of a growing data function, with strong end to end ownership across pipelines, modelling, and stakeholder engagement.

The Company

They are an international architecture and design practice delivering complex, high-profile projects across cultural, commercial, infrastructure, and urban environments. With hundreds of employees worldwide and a London-based headquarters, the organisation operates at significant global scale while retaining a highly collaborative, creative culture. Data is becoming increasingly central to how they support decision-making, operations, and future innovation.

The Role

You will join an early-stage data function within a broader technology group focused on internal systems, tooling, and research and development. As one of the first dedicated data hires, you will have real influence over standards, ways of working, and the evolution of the data platform.

Key responsibilities include:

• Designing, building, and maintaining data pipelines using Azure Data Factory and Databricks
• Integrating data from core business systems via APIs, including finance and HR platforms
• Developing and improving a lakehouse architecture, with clear ingestion, transformation, and consumption layers
• Creating robust data models to support analytics and reporting, following best-practice approaches such as Kimball and star schemas
• Supporting and enhancing the Power BI semantic layer and reporting outputs
• Working closely with stakeholders to translate business requirements into scalable data solutions
• Ensuring data quality, reliability, and documentation across the platform

Your Skills and Experience

• Strong commercial experience working in a cloud-based data environment, ideally Azure
• Solid SQL skills and hands-on experience with data transformation and modelling
• Experience using Power BI, including semantic models, DAX, and the reporting layer
• Exposure to Databricks, particularly for data transformation and connecting multiple data sources
• Familiarity with concepts such as medallion architecture, star schemas, and analytics engineering best practice
• Confidence working with non-technical stakeholders and translating requirements into data models

What They Offer

• Salary up to £60,000 plus bonus
• Bonus eligibility after one year of service
• Hybrid working, typically three days per week in the London office
• A high-visibility role with genuine ownership and influence
• Clear opportunity to grow alongside a developing data function and deepen expertise in Databricks and modern analytics engineering

How to Apply

If you are looking for an Analytics Engineer role where you can shape a data platform from the ground up in a creative, globally operating organisation, please apply to learn more.

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DATA ENGINEERING LEAD

London (Hybrid)
up to £120,000 + bonus

This is a standout opportunity to join a high‑performing private equity firm where you will sit at the centre of data and AI, shaping how modern data platforms are built and scaled across a diverse portfolio.

THE ROLE:

You will be working hands‑on across multiple companies to design, build and scale modern data platforms that underpin analytics, decision‑making and AI adoption.
This role combines technical delivery, architectural design and senior stakeholder advisory. You will operate at both strategic and execution level, often with direct C‑suite exposure.
Key responsibilities include:

• Building and evolving end‑to‑end data platforms and core data architecture across portfolio companies
• Acting as the data engineering authority, advising on platform design, scalability trade‑offs and common pitfalls
• Ensuring data infrastructure is AI‑ready, enabling advanced analytics, AI applications and agentic AI use cases
• Working directly with CEOs, CFOs and leadership teams to align data initiatives with commercial outcomes

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands‑on data engineering, with a track record of building modern data platforms end to end
• Strong SQL and Python
• Data architecture and platform design, including scalability, reliability and maintainability considerations
• Communicating complex technical concepts clearly to senior, non‑technical stakeholders
• Operating in ambiguous, fast‑moving environments with a pragmatic, value‑led mindset

THE BENEFITS:

You will receive a salary of up to £120,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

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

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Senior Forensics Manager
London
Up to £105,000 plus benefits

This is a senior opportunity to shape high impact forensic and regulatory investigations at scale, sitting at the intersection of data, AI and financial services risk. You will play a pivotal role in delivering complex, data led programmes while building and leading high performing teams in a fast growing specialist function.

The Company
They are a global professional services and consultancy organisation operating across highly regulated industries. Their forensic and integrity capability supports clients facing financial crime, fraud, litigation and regulatory scrutiny, often involving very large and complex datasets. The organisation continues to invest heavily in advanced analytics, cloud platforms and AI driven solutions to help clients respond to evolving regulatory demands.

The Role
You will balance leadership responsibilities with hands on delivery, working closely with senior stakeholders and clients. Key responsibilities include:

• Leading complex forensic, regulatory and investigation programmes underpinned by data, analytics and AI.
• Managing and developing multidisciplinary teams of data and analytics specialists.
• Acting as a senior client contact, communicating findings, insights and outcomes clearly and confidently.
• Designing and overseeing data engineering, analytics and AI solutions, from data ingestion and modelling through to reporting.
• Driving business development through client relationships, proposals and growth initiatives within regulated environments.

Your Skills and Experience
To be successful in this role, you will bring:

• Strong commercial experience delivering analytics and AI solutions within regulated industries such as financial services, credit, lending, fraud or financial crime.
• Proven leadership and people management experience within consulting or complex delivery environments.
• Demonstrable involvement in business development, client growth or pre sales activity.
• Hands on exposure to cloud based data and AI platforms, including Azure or other major cloud providers.
• Practical experience with SQL, Python and modern data platforms such as Databricks.
• The ability to operate confidently in regulatory enforcement, investigation or litigation contexts involving large volumes of data.

What They Offer

• A salary of up to £105,000 plus a competitive benefits package.
• Hybrid working with two days per week in office
• Clear progression opportunities within a growing specialist team.
• Exposure to high profile, complex client work at the forefront of data and AI in forensics.
• Sponsorship support where required.

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Senior Analytics Manager
London, hybrid working (2 days remote), salary up to £105,000 plus benefits

This is a senior, high-impact role for someone who enjoys combining leadership, hands-on delivery, and client-facing work in complex, regulated environments. You will sit at the centre of investigations and regulatory programmes, using data, analytics, and AI to solve problems that carry real financial and legal risk for organisations.

The Company
They are a large, global professional services organisation with a specialist forensics and investigations practice. The team supports clients across regulatory enforcement, litigation, and financial risk, working with complex and high-volume datasets. Their work is highly visible, fast-moving, and closely aligned to regulatory scrutiny and business-critical outcomes.

The Role
You will split your time between leading people and delivering technically complex projects. Responsibilities include:

• Managing and developing a team of data and analytics professionals.
• Leading forensic analytics projects involving large-scale data ingestion, cleaning, and modelling.
• Applying AI and machine learning to support investigations, redress programmes, and regulatory reviews.
• Acting as a senior point of contact for clients, communicating findings, progress, and outcomes.
• Contributing to business development through client development and winning new work.
• Working closely with stakeholders across legal, risk, and compliance functions.

Your Skills and Experience
You will bring:

• Strong commercial experience delivering analytics or AI solutions in regulated environments such as credit, fraud, lending, or financial services.
• Proven management experience, including leading and developing high-performing teams.
• Confidence operating in client-facing roles, with clear communication and reporting skills.
• Experience contributing to business development or growing client relationships.
• Hands-on technical capability with SQL, Python, and modern data platforms such as Databricks.
• Experience working in cloud environments such as Azure, AWS, or GCP.
• The ability to translate complex data and AI outputs into clear, defensible insights.

Experience in forensics, investigations, or financial and legal risk is highly desirable.

What They Offer

• Salary up to £105,000 plus a comprehensive benefits package.
• Hybrid working with two days per week remote.
• Sponsorship support where required.
• Exposure to high-profile, complex projects with real regulatory and legal impact.
• Clear progression within a well-established and growing specialist practice.

How to Apply
If you are looking for a senior role combining leadership, hands-on analytics, and client impact, apply now to find out more.

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Paid Social and Programmatic Executive
Hemel-Hempstead (Hybrid)
Up to 40k

This is an excellent opportunity for a Paid Social and Programmatic Executive to join a high-performing digital marketing team, where your work will directly influence campaign performance and customer acquisition. The role offers strong exposure across programmatic and paid social channels, giving you the chance to develop a well-rounded, data-driven skill set in a collaborative environment.

The Company
They are a well-established, consumer-focused organisation with a strong digital presence and a growing investment in performance marketing. Their marketing team operates at pace, combining creativity and data to deliver meaningful results. With a collaborative culture and a focus on innovation, they provide an environment where individuals can make a tangible impact. The business places a strong emphasis on insight-led decision making and continuous optimisation across digital channels.

The Role
As a Paid Social and Programmatic Executive, you will take ownership of campaign delivery across display, video, and social platforms, ensuring campaigns are optimised to deliver high-quality traffic and meet performance objectives.

• Manage end-to-end execution of programmatic campaigns, with exposure to paid social activity
• Monitor and report on campaign performance, providing clear, data-driven recommendations to improve results
• Optimise campaigns against key performance indicators and budgets
• Collaborate closely with marketing and creative teams to ensure high-quality, effective campaign assets
• Use audience insights and performance data to inform targeting and creative strategy
• Work alongside senior stakeholders to evaluate performance and identify opportunities for growth
• Contribute to regular reporting and performance updates for internal stakeholders

Your Skills and Experience

• Strong commercial experience in programmatic marketing, with exposure to paid social channels
• A data-driven approach, with the ability to analyse performance and translate insights into action
• Experience managing digital campaigns across display, video, and social platforms
• Confident using data and tools to track, measure, and optimise performance
• Strong attention to detail and organisational skills
• Clear communication and presentation skills, with the ability to engage stakeholders

What They Offer

• Hybrid working model
• Opportunity to work in a collaborative, fast-paced environment
• Exposure to a multi-channel digital marketing strategy
• Clear progression opportunities within a growing marketing function

How to Apply
If you are interested in this Paid Social and Programmatic Executive role, please apply with your CV to learn more.

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ANALYTICS ENGINEER
LONDON/HYBRID
UP TO £60,000

This is a rare opportunity to join an organisation at an early stage of its data journey, where you will have genuine influence over how data is designed, modelled, and used across the business. You will sit at the heart of a growing data function, working end to end from ingestion through to reporting, with strong exposure to both technical delivery and stakeholder engagement.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks.
• Integrate data from core business systems such as finance, HR, and operational platforms.
• Develop and improve a lakehouse architecture, supporting ingestion, transformation, and consumption layers.
• Create robust, well-structured data models using best practice approaches such as Kimball and star schema.
• Work closely with business stakeholders to translate requirements into clear, usable data assets.
• Support and enhance the Power BI reporting layer, including semantic models and DAX.
• Help establish data standards, patterns, and ways of working as the data function grows.

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience working in a cloud-based data environment, ideally Azure.
• Solid SQL capability with experience building reliable, scalable data models.
• Hands-on experience with Power BI, including data modelling and reporting.
• Experience working with modern data platforms and concepts such as lakehouse or medallion architecture.
• Exposure to Databricks for data transformation and pipeline development is highly desirable.
• Confident communicator who can work effectively with both technical and non-technical stakeholders.

APPLY BELOW!

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