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Data Analyst

London/Hybrid

Up to £45,000

Overview

London (Hybrid, 4 days in office) | £45,000 to £50,000 + Bonus + Benefits

This is an exciting opportunity for a Data Analyst / Analytics Engineer to join a specialist analytics consultancy supporting a high-profile communications function. You’ll work across a range of digital and brand data sources, helping turn complex datasets into meaningful insights while developing your technical skills in modern analytics tooling, data transformation, and text analytics.

The Company

They are a specialist analytics consultancy that helps brands understand performance, audience engagement, and communications effectiveness through data. Working with a broad mix of digital, social, and research datasets, they focus on delivering actionable insights rather than managing underlying data infrastructure.

Their collaborative analytics team combines strong storytelling and stakeholder engagement with technical expertise. As data volumes continue to grow, they are investing in stronger analytics engineering capabilities to improve data processes and unlock new opportunities from their data assets.

The Role

As a Data Analyst / Analytics Engineer, you will play a key role in connecting, validating, transforming, and analysing data from multiple sources. You’ll work closely with analysts and stakeholders to support high-impact projects while helping improve data workflows and capabilities.

Key responsibilities include:

• Building and maintaining SQL and Python-based analytical solutions
• Connecting and transforming data from multiple digital and research sources
• Validating, quality assuring, and maintaining reliable datasets
• Supporting data movement and analytics workflows within Snowflake
• Working on a text classification project focused on analysing online content and measuring brand prominence
• Collaborating with analysts to deliver data that supports strategic recommendations
• Identifying opportunities to improve data processes and ways of working
• Supporting a range of analytics projects across communications and brand measurement

Your Skills & Experience

You will bring:

• Strong commercial experience using SQL
• Working knowledge of Python for data analysis and transformation
• Experience working with BI and reporting tools
• An interest in learning and developing skills in dbt
• Experience working with complex datasets from multiple sources
• Strong stakeholder management and communication skills
• Experience collaborating across teams, functions, or agency environments
• A proactive approach to problem-solving and continuous improvement

Experience with the following would be beneficial:

• Snowflake
• ThoughtSpot, Tableau, or similar BI platforms
• Sprinklr
• Agency-side analytics environments
• Brand, communications, social media, or digital analytics

What They Offer

• Salary of £45,000 to £50,000 depending on experience
• Annual bonus, typically around 8%
• Employee-owned business model with greater employee involvement in company success
• Tax advantages on a portion of the annual bonus
• AXA dental insurance
• Hybrid working with one flexible home-working day per week
• Exposure to a wide variety of analytics projects and stakeholders
• Ongoing technical development across modern analytics tools and methodologies
• Clear opportunities to expand your technical and commercial impact within the team

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DATA ANALYST
LONDON/HYBRID
UP TO £45,000

This is an opportunity to join a highly regarded analytics environment where you will play a key role in shaping how data is transformed and used to drive decision making. Sitting at the intersection of analytics and data engineering, this position offers hands on exposure to modern data tooling alongside the chance to influence how data is structured, accessed and interpreted.

ROLES AND RESPONSIBILITIES:
The Data Analyst will:

• Build, optimise and maintain SQL based data transformations within a cloud data warehouse environment including Snowflake
• Connect and consolidate multiple data sources such as web analytics, social data, social listening and brand research
• Support the development of scalable and reliable data pipelines, improving existing processes and identifying efficiencies
• Contribute to a text classification project analysing online content to evaluate brand presence and quality
• Validate and quality check datasets to ensure accuracy and consistency across reporting outputs
• Work closely with analysts to enable deeper insight generation and more robust reporting
• Gradually take ownership of projects, proactively identifying opportunities for new analysis and process improvement

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience writing efficient and reliable SQL, including complex joins, aggregations and working with semi structured data
• Experience working within a cloud data warehouse environment such as Snowflake, BigQuery or similar
• Working knowledge of Python for data analysis and manipulation is desirable
• Understanding of data pipelines and transformation workflows, with an interest in developing further using tools such as dbt
• Experience with BI and data visualisation tools such as ThoughtSpot, Tableau or Power BI
• Ability to validate data and apply quality assurance processes
• Confident communicator, comfortable working with stakeholders across teams to translate data into insight

APPLY BELOW

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Data Analyst

Permanent role – Up to £45k base + bonus + benefits

Central London – Hybrid Working

Role Summary

Our client is looking for a skilled Data Analyst to join their growing team. This role is ideal for someone who enjoys working with complex datasets, building reliable data pipelines, and turning data into meaningful insights that support strategic business decisions.

You’ll work closely with stakeholders across the business to analyse data, improve reporting, and deliver clear, actionable intelligence.

Requirements

• Strong SQL skills, including CTEs, joins, window functions and aggregations.
• Experience working with cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks or similar.
• Experience building and maintaining data transformation pipelines.
• Knowledge of dbt or willingness to learn.
• Experience using GitHub or similar version control tools.
• Python experience (Pandas or similar) for data manipulation and analysis.
• Experience with data visualisation tools such as Tableau, Power BI or ThoughtSpot.
• Strong analytical, problem-solving and communication skills.
• Excellent written and spoken English.

What Will Make You Stand Out

• Experience working with semi-structured data.
• Knowledge of data validation and quality assurance frameworks.
• Experience with digital analytics or marketing data platforms.
• Ability to communicate complex data through compelling visualisations and storytelling.
• A collaborative approach and a proactive mindset.

If you are interested in the role please apply, to follow up please message me on LinkedIn.

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Senior Director, Data and Analytics
London
Up to £165,000
This is a high-impact leadership opportunity to shape and deliver a data and analytics strategy within a complex, international organisation. You will sit at the forefront of data-driven transformation, leading a multidisciplinary team and embedding analytics, AI, and data governance across the business.
The Company
They are a globally connected organisation operating within a highly regulated and commercially driven sector. With a strong focus on strategic partnerships and operational efficiency, they play a key role in managing complex supply chains and delivering value across international markets.
The business is evolving its data capabilities to unlock greater insight, support decision-making, and enhance performance. This role will be central to that transformation, working closely with senior leadership and cross-functional teams.
The Role

• Define and execute the enterprise data, analytics, and AI strategy aligned to business objectives
• Lead and develop a multidisciplinary team spanning data engineering, analytics, and data science
• Establish scalable data platforms, architecture, and pipelines to support business growth
• Drive adoption of analytics and business intelligence across the organisation
• Translate complex data into actionable insights to support strategic and commercial decisions
• Identify and deliver AI and machine learning use cases that improve efficiency and performance
• Implement robust data governance frameworks to ensure data quality, consistency, and compliance
• Partner with senior stakeholders across a matrix environment to influence and deliver change

Your Skills and Experience

• Strong track record in leading data, analytics, or insights functions at a senior level
• Experience operating within complex or matrix organisations with multiple stakeholders
• Expertise across analytics, business intelligence, and advanced analytics or data science
• Proven ability to define and deliver data strategy and organisational transformation
• Experience leading and scaling high-performing teams across multiple data disciplines
• Strong stakeholder management skills with the ability to influence at executive level
• Commercial mindset with the ability to translate data into business value

What They Offer

• Salary up to £165,000
• Opportunity to shape and lead a business-critical data function
• Senior leadership exposure and influence across the organisation
• A collaborative and forward-thinking environment focused on innovation and data maturity

How to Apply
If you are interested in leading a data and analytics function with significant strategic impact, please apply with your CV to learn more.

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Senior Director, Technology & Product

London

Up to £165,000

The Opportunity

We’re partnering with a global healthcare sourcing and technology organisation seeking a Senior Director, Technology & Product to lead product strategy, technology innovation, and engineering delivery.

This is a highly strategic leadership role where you’ll oversee product, engineering, AI integration, and digital transformation initiatives. Working closely with senior stakeholders, you’ll drive the evolution of a proprietary technology platform while leading high-performing teams and shaping the business’s long-term technology vision.

Key Responsibilities

• Define and drive the overall technology and product strategy
• Lead engineering, product, and technical delivery teams
• Own the product roadmap from discovery through to execution
• Partner with senior stakeholders to translate business objectives into technology solutions
• Drive AI integration and innovation across core platforms
• Establish technical standards, governance, and best practices
• Develop KPIs and performance metrics to measure success
• Manage technology budgets, vendors, and resource planning
• Lead and develop high-performing cross-functional teams
• Ensure compliance, security, business continuity, and risk management requirements are met

What We’re Looking For

• Bachelor’s degree or equivalent experience
• 10-15 years’ experience in senior technology and/or product leadership roles
• Proven track record leading product and engineering functions
• Experience managing large-scale technology programmes and digital transformation initiatives
• Strong commercial acumen and strategic thinking skills
• Experience leading cross-functional teams within a matrix organisation
• Strong stakeholder management and influencing abilities
• Knowledge of AI technologies and product innovation
• Excellent organisational, project management, and communication skills
• Experience within healthcare or highly regulated industries is advantageous

Ways of Working

• Executive leadership position with significant business influence
• Cross-functional collaboration across product, technology, AI, and operations
• Opportunity to shape long-term business and technology strategy
• High level of ownership and decision-making responsibility
• Innovation-focused environment with strong investment in technology

Benefits

• Competitive executive-level salary and benefits package
• Leadership opportunity within a global organisation
• Significant influence on technology and product strategy
• Exposure to complex digital transformation programmes
• Opportunity to drive AI adoption and innovation
• Collaborative executive leadership team
• Long-term career growth and impact

How to Apply

If you’re an experienced technology and product leader looking to drive innovation and business transformation at scale, we’d love to hear from you.

Apply with your CV or pop me a message!

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Staff Software Engineer, Full Stack (Backend-Focused)

Compensation

• Base Salary: $180,000-$260,000 USD (U.S.) / $175,000-$230,000 CAD (Canada), depending on location
• Bonus: 20%
• Equity: RSUs
• Work Style: Hybrid (3 days/week)
• Visa Sponsorship: Available

About the Opportunity

An innovative, publicly traded AI software company is seeking a Staff Software Engineer (Backend-Focused Full Stack) to help build and scale the core platform powering next-generation document intelligence and search capabilities.

Operating at the intersection of artificial intelligence, large-scale data processing, and enterprise knowledge management, the organization develops sophisticated technology that enables customers to extract, analyze, benchmark, and search highly complex documents with exceptional accuracy and speed.

This is a high-impact individual contributor position where you’ll influence architecture, own critical backend systems, and collaborate with AI researchers, product leaders, and domain specialists to build technology that solves technically challenging real-world problems.

Why This Role?

• Build foundational backend infrastructure supporting AI-powered products
• Own architecture and technical direction for highly scalable systems
• Work alongside experts in AI, machine learning, and search technologies
• Influence engineering strategy without people management responsibilities
• Join a fast-growing, well-funded public technology company investing heavily in AI

What You’ll Do

• Design and develop scalable backend services and APIs
• Architect distributed systems supporting large-scale document processing
• Build high-performance data pipelines and backend infrastructure
• Create clean, extensible API frameworks
• Integrate backend systems with internal AI/ML services
• Optimize performance across data-intensive workloads
• Contribute to frontend development using React and TypeScript when needed
• Improve developer tooling, CI/CD pipelines, and production infrastructure
• Participate in architecture reviews and uphold engineering best practices

Typical Time Allocation

• 70% Backend engineering & API development
• 20% System architecture & performance optimization
• 10% Frontend development & developer experience improvements

First-Year Priorities

• Scale core backend infrastructure
• Expand APIs supporting AI-driven product capabilities
• Improve reliability and performance of data-intensive services
• Enhance integrations with machine learning pipelines
• Increase developer productivity through tooling and automation
• Deliver new customer-facing platform capabilities

What Success Looks Like

Within your first year, you will have:

• Influenced long-term platform architecture
• Built reliable backend systems operating at scale
• Accelerated delivery of AI-powered product features
• Improved application performance and engineering efficiency
• Become a trusted technical leader across engineering teams

Ideal Background

• 7-10+ years of software engineering experience
• Strong backend-focused full-stack expertise
• Experience designing scalable APIs and distributed systems
• Background building data-intensive or AI-enabled platforms
• Product company experience strongly preferred

Required Skills

• Node.js, Python, or Go
• REST API design
• System architecture
• SQL & NoSQL databases
• TypeScript
• React
• AWS, GCP, or similar cloud platforms
• Docker
• Kubernetes
• Excellent communication and ownership mindset

Preferred Experience

• Microservices architecture
• Event-driven systems
• Message queues
• CI/CD automation
• Large-scale data processing
• Performance optimization
• Single-tenant architectures
• Modern developer tooling (monorepos, profiling, build tooling)
• Exposure to AI, search, analytics, or knowledge management platforms

Resume Highlights We’d Love to See

• Ownership of large-scale backend platforms
• Strong API and distributed systems design experience
• Demonstrated impact building data-heavy or AI-enabled products
• Evidence of technical leadership through architecture and delivery

Ideal Candidate Traits

• Thrives in fast-paced product environments
• Strong ownership mentality
• Excellent systems thinking
• Comfortable collaborating across engineering, AI, and product teams
• Pragmatic problem solver focused on delivering scalable solutions

Candidates Less Likely to Be a Fit

• Primarily frontend/UI-focused engineers
• Limited backend architecture experience
• Minimal experience building scalable distributed systems
• Preference for narrowly defined responsibilities over broad technical ownership

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Principal AI Engineer

Brooklyn, NY (Hybrid) – 3 Days Onsite

$230,000 – $250,000 Base + Bonus + RSUs (~$350K Total Comp)

THE COMPANY

Harnham is partnering with a global leader in professional software solutions across legal, tax, accounting, and audit. Their products power professionals responsible for some of the world’s most critical business decisions.
This opportunity sits within the Cloud Audit organization, a connected platform for B2B usages. As the organization continues its transformation into an AI-native engineering environment, the team is investing heavily in AI-powered experiences, platform integrations, and intelligent workflow automation.
This role will play a critical part in defining the architecture and AI strategy that connects Cloud Audit Suite with AI-powered audit solutions and other intelligent products, helping shape the future of audit technology at enterprise scale.

RESPONSIBILITIES

• Own architecture and technical design across the Cloud Audit platform.
• Define and drive AI integration strategies across audit and assurance products.
• Lead integration efforts between multiple B2B shared platform services.
• Design scalable AI orchestration frameworks supporting agents, LLM workflows, tool calling, and multi-step reasoning systems.
• Establish standards and best practices for AI-native application development, experimentation, and platform architecture.
• Partner closely with Product, AI Labs, UX, Infrastructure, and Engineering leadership to execute strategic initiatives.
• Architect high-throughput distributed systems handling millions of documents and large-scale audit workloads.
• Drive platform reliability, observability, resiliency, and performance optimization initiatives.
• Design reusable APIs, shared services, and platform components to support multiple products and engineering teams.
• Mentor senior and staff engineers while fostering an AI-forward engineering culture.
• Help define and execute the long-term technical roadmap for Cloud Audit Suite.

SKILLS AND EXPERIENCE

• BS degree in Computer Science, Computer Engineering, or a related technical discipline.
• 8-10+ years of experience in software engineering, architecture, or platform engineering roles.
• Deep expertise with C#, .NET, and ASP.NET Core.
• Strong Python experience supporting AI, machine learning, or intelligent application workflows.
• Experience designing and operating large-scale distributed systems and microservices architectures.
• Strong full-stack development background utilizing technologies such as React, Angular, TypeScript, JavaScript, HTML, and CSS.
• Experience designing and integrating scalable APIs and enterprise platform services.
• Hands-on experience with AWS cloud infrastructure.
• Strong experience with SQL Server, PostgreSQL, or similar database technologies.
• Experience architecting and operating production AI systems utilizing LLMs, agents, retrieval systems, and AI-native application patterns.
• Proven track record of owning enterprise-scale systems from architectural design through long-term production operation.
• Excellent communication and stakeholder management skills.
• Experience leading technical initiatives across multiple products and engineering organizations.

PREFERRED EXPERIENCE

• Experience integrating OpenAI, Anthropic, or other production-grade LLM providers.
• Knowledge of agent architectures, MCP servers, AI orchestration frameworks, and AI platform design.
• Experience with vector databases, embeddings, semantic search, and retrieval architectures.
• Familiarity with actor-model frameworks such as Orleans or Akka.
• Experience designing scalable CI/CD pipelines using GitHub Actions or similar technologies.
• Experience supporting applications in highly regulated industries such as audit, tax, finance, legal, or compliance.
• Knowledge of AI reliability, evaluation, testing, governance, and safety frameworks.
• Experience designing systems that account for non-deterministic AI behavior.
• Customer-facing technical leadership experience.

BENEFITS

The compensation package includes a competitive base salary, annual bonus, equity package with a three-year vesting schedule, and a comprehensive benefits package.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Artificial Intelligence | AI Platform Engineering | Cloud Audit | Machine Learning | LLMs | AI Agents | Agentic AI | C# | .NET | ASP.NET Core | Python | AWS | PostgreSQL | Distributed Systems | Microservices | Enterprise Architecture | API Design | Platform Engineering | AI Orchestration | MCP | Semantic Search | Vector Databases | Audit Technology | SaaS | Technical Leadership | Principal Engineer

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Data Scientist – MMM

This is an exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly.

The Company
They are a global, data-led organisation operating at the forefront of marketing analytics and technology. Built on strong technical foundations, they combine proprietary tools, experimentation, and data science to help organisations understand what drives performance. Their teams work across a wide range of clients and industries, delivering measurable impact through rigorous analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment.

The Role

• Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis
• Apply statistical and analytical techniques to solve business problems across marketing and performance data
• Translate complex model outputs into clear, actionable insights that inform budget and channel decisions
• Collaborate with senior stakeholders and contribute to high-quality client deliverables
• Use AI tools to enhance productivity, accelerate development, and improve communication of outputs

Your Skills and Experience

• Strong commercial experience in data science or statistical modelling, ideally within marketing analytics
• Hands-on experience with marketing mix modelling or similar approaches, with exposure to tools such as Meridian, Robyn, or PyMC
• Proficiency in Python and experience working with cloud platforms such as GCP
• Understanding of Bayesian statistics and marketing attribution concepts
• Ability to communicate technical findings clearly to non-technical audiences
• Interest in applying AI tools to enhance data science workflows

What They Offer

• Opportunity to work on data-driven projects across a range of industries
• Ongoing professional development and clear progression within a growing data science function
• Access to cutting-edge tools like Google Meridian and AI-driven workflows

How to Apply
Apply now to learn more about this Junior Data Science Manager opportunity and take the next step in your data science career.

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Director of Analytics

This is an opportunity to lead a data, analytics, and AI function within an organisation investing in digital transformation. You will shape strategy, partner with senior leaders, and help drive data-led decision-making across the business.
The Company
They are an international organisation operating in a complex, data-rich environment. Data, analytics, and AI play a key role in supporting business performance and digital transformation. The successful candidate will work closely with senior stakeholders to help deliver strategic priorities and identify new opportunities through data.

The Role

• Define and deliver the organisation’s data, analytics, and AI strategy
• Lead teams across analytics, data science, AI, and data engineering
• Drive the development and deployment of AI and machine learning solutions
• Oversee data platforms, architecture, and data pipelines
• Deliver insights, reporting, and business intelligence to support decision-making
• Apply advanced analytics to support forecasting and business planning
• Establish data governance, quality, and compliance frameworks
• Partner with leaders across technology, operations, product, and commercial teams
• Promote the effective use of data across the organisation
• Build and develop high-performing teams

Your Skills & Experience

• Leadership experience within analytics, data science or BI
• Experience developing and delivering data and analytics strategies
• Proven ability to lead analytics, data science, and data engineering teams
• Commercial experience translating data into business outcomes
• Knowledge of data platforms, architecture, and governance
• Strong stakeholder management and communication skills
• Experience influencing senior leadership teams
• Programme and project leadership experience

What They Offer

• Competitive salary and bonus
• Benefits package
• Opportunity to shape enterprise-wide data and analytics strategy
• Senior leadership exposure

How to Apply
If you’re interested in leading data, analytics, and AI strategy within a senior leadership role, apply to learn more about this opportunity.

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About the Company

We are a rapidly growing technology organization focused on helping enterprises unlock greater value from their data through advanced artificial intelligence and machine learning solutions. Our platform empowers organizations to transform complex data assets into actionable insights by combining intelligent automation, modern data engineering practices, and intuitive user experiences. We work with some of the most sophisticated data environments in the world and are building the next generation of AI-powered enterprise software.

The Opportunity

As an AI/ML Engineer, you will play a key role in designing and delivering intelligent systems that power advanced automation, knowledge retrieval, code generation, and decision-support capabilities. This position offers significant ownership and influence over technical direction, architecture decisions, and the development of scalable AI solutions.

You will collaborate closely with engineering, product, and platform teams to create AI-driven experiences that solve complex business and technical challenges. The level and scope of responsibility will be aligned to experience, with opportunities for substantial impact at every level.

Key Responsibilities

AI Agent Architecture & Optimization

• Design, develop, and enhance multi-step AI agents capable of reasoning, planning, and executing complex workflows.
• Define strategies for context management, task decomposition, error handling, and response quality.
• Establish evaluation frameworks and performance benchmarks to continuously improve agent effectiveness.
• Drive experimentation and innovation across emerging AI technologies and methodologies.

Knowledge Retrieval & Information Systems

• Design and maintain retrieval-augmented generation (RAG) pipelines and supporting infrastructure.
• Develop solutions leveraging vector search, knowledge graphs, semantic search, and related technologies.
• Create knowledge representations that enable accurate reasoning across structured and unstructured enterprise data.
• Improve information retrieval quality, relevance, and scalability.

AI-Powered Code Generation & Data Processing

• Build and optimize systems that convert natural language requests into reliable technical outputs.
• Develop prompt engineering strategies, model selection approaches, and evaluation methodologies.
• Implement safeguards, validation mechanisms, and quality controls for AI-generated outputs.
• Support intelligent automation across data transformation, analytics, and engineering workflows.

Production-Scale AI Systems

• Deploy, monitor, and optimize AI solutions operating in large-scale production environments.
• Improve latency, throughput, reliability, observability, and operational efficiency.
• Evaluate tradeoffs between model optimization, infrastructure improvements, and system architecture changes.
• Contribute to best practices for AI governance, monitoring, and lifecycle management.

Qualifications

What We’re Looking For

• Proven experience developing and supporting AI/ML systems in production environments.
• Strong understanding of evaluation methodologies, performance measurement, and failure analysis.
• Demonstrated ability to make architectural decisions in ambiguous or rapidly evolving technical environments.
• Passion for learning new technologies and adapting to emerging industry trends.
• Strong communication skills with the ability to influence technical direction and participate in engineering design discussions.
• Experience balancing rapid execution with long-term system scalability and maintainability.

Experience

• Approximately 4+ years of professional software engineering experience with meaningful exposure to machine learning, artificial intelligence, or related technologies.
• Candidates ranging from experienced individual contributors to senior technical leaders are encouraged to apply.

Preferred Technical Background

Core Technologies

• Strong programming skills in Python.
• Hands-on experience with large language models (LLMs), generative AI applications, and agent-based systems.
• Experience building retrieval systems using vector databases, semantic search technologies, and/or knowledge graphs.
• Familiarity with cloud-native architectures and distributed systems.

Nice-to-Have Experience

• Knowledge of Kubernetes and modern cloud platforms.
• Experience with Scala, Go, or other systems-level languages.
• Experience working with modern analytics and data processing platforms.
• Exposure to technologies such as Apache Spark, cloud data warehouses, data lakes, and distributed computing frameworks.
• Background in data engineering, business intelligence, analytics, or large-scale data processing environments.

Why Join Us?

• Opportunity to work on cutting-edge AI and machine learning challenges.
• Meaningful ownership and influence over technical direction and product innovation.
• Collaborative environment with highly talented engineers and technical leaders.
• Professional growth opportunities and support for continued learning.
• Competitive compensation package, equity opportunities, and comprehensive benefits.
• Flexible work arrangements and a culture that values impact, innovation, and execution.

Equal Opportunity Employer

We are committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law.

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Insight Manager
London – hybrid 2x a week
Up to £45,000

This is an excellent opportunity for an Insight or Research Executive ready to step into an Insight Manager role within a high-performing team. You will take ownership of impactful brand tracking programmes while gaining exposure to a variety of strategic, ad hoc research projects. With direct client interaction from the outset, this role offers strong visibility and the chance to shape marketing decisions through data-led insights.

The Company
They are a leading global marketing and communications network, working with well-known brands to deliver data-driven insights that inform strategy and drive growth. Their insight function sits at the centre of planning and strategy, combining quantitative and qualitative research to solve business challenges. The business is known for its collaborative culture and commitment to developing thought leadership within the industry. You will join a small, highly visible team where your work will have real impact.

The Role

• Lead and deliver brand tracking programmes, providing ongoing insight into brand performance
• Manage end-to-end quantitative research projects, including design, fieldwork and analysis
• Support campaign effectiveness studies and wider strategic research initiatives
• Write questionnaires, research proposals and client-ready deliverables
• Analyse data using tools such as SPSS, Q or Qualtrics and translate findings into clear recommendations
• Present insights directly to clients, building strong working relationships
• Contribute to qualitative research, including interviews and focus groups
• Identify trends and develop actionable insights to influence marketing strategy

Your Skills and Experience

• Strong commercial experience in market research or consumer insights
• Proven ability to manage and deliver brand tracking or continuous research programmes
• Advanced quantitative research and data analysis skills
• Experience using research and statistical tools such as SPSS, Q, Qualtrics or similar
• Confidence translating data into clear, commercially relevant insights
• Strong communication skills with experience presenting to stakeholders
• Exposure to qualitative research methods such as interviews or workshops
• Ability to manage multiple projects and work autonomously

What They Offer

• Opportunity to take ownership of high-profile client work
• Strong mix of structured tracking and strategic project work
• Clear progression into more senior insight roles
• Collaborative team environment with high visibility and responsibility
• Comprehensive benefits package including flexible leave, wellbeing support, and additional lifestyle benefits

How to Apply
If you are looking to step into an Insight Manager role with strong client exposure and career growth, apply now to find out more.

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Junior Manager, Econometrician
London – hybrid 3x a week in office
Up to £46,000

This is an exciting opportunity to join a growing data science function at a pivotal stage of its development. You will play a key role in delivering Marketing Mix Modelling (MMM) projects for well-known clients, combining hands-on technical work with exposure to strategic decision-making. With strong backing from leadership and active hiring across the team, this role offers genuine scope to shape how data science is delivered in a high-impact, client-facing environment.

The Company
They are a global media and marketing analytics business focused on understanding what truly drives profit. Founded by a technically minded leadership team, they have scaled internationally and built a strong reputation for combining experimentation, proprietary tools, and data science to inform marketing performance. They are now investing heavily in building out their UK data science capability, bringing work in-house and creating a collaborative, high-performing team. This growth phase offers the opportunity to contribute to both client delivery and the evolution of the function.

The Role

• Deliver end-to-end Marketing Mix Modelling projects using frameworks such as Meridian, Robyn, or PyMC
• Own key stages of the modelling process, including data preparation, model development, validation, and scenario analysis
• Interpret model outputs and translate them into clear, actionable insights for clients
• Work directly with stakeholders to support strategy, media planning, and performance optimisation
• Contribute to multiple live projects simultaneously, balancing hands-on technical work with client interaction
• Support the ongoing development of data science best practices and modelling approaches

Your Skills and Experience

• Strong commercial experience in Marketing Mix Modelling – experience building the models from scratch
• Proficiency in Python and experience working with open-source MMM frameworks such as Meridian, Robyn, or PyMC
• Solid understanding of statistical modelling techniques, including Bayesian approaches
• Experience delivering analytical work in a client-facing or stakeholder-driven environment
• Ability to assess model quality and clearly communicate findings to non-technical audiences
• Exposure to marketing analytics, attribution, or media effectiveness projects is highly beneficial

What They Offer

• Opportunity to join a rapidly growing data science team with strong leadership support
• Clear progression path as the function expands
• Exposure to high-impact client work across a range of industries

How to Apply
If you are interested in applying your data science expertise to solve real-world marketing challenges in a growing team, please get in touch to learn more.

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