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Associate Director, Business Intelligence

London/Hybrid

Up to £60,000

Overview

London. Hybrid working, three days per week in the office. Salary up to 60000.

This is an opportunity to shape and scale a Business Intelligence capability within a fast growing, data led media environment. You will play a key role in elevating dashboarding, reporting, and client insight across a diverse portfolio, with clear ownership and influence from day one.

The Company

They are a global media and analytics organisation focused on understanding what truly drives commercial performance. With a strong presence across multiple regions, they have built a reputation for combining experimentation, data, and proprietary technology to deliver measurable outcomes for their clients. The business is investing in its UK data capability, building a high impact team to support continued growth. This role sits at the centre of that build out.

The Role

• Take ownership of existing BI products, dashboards, and reporting frameworks
• Assess current capabilities and identify opportunities to enhance data visualisation and insight delivery
• Build and deliver high quality dashboards for client projects across marketing performance metrics
• Support onboarding of new client engagements and tailor reporting solutions accordingly
• Develop and improve templating approaches, introducing more advanced forecasting and performance views
• Work with a range of data sources including marketing metrics and wider business data
• Deliver creative performance dashboards to support campaign analysis
• Collaborate with senior stakeholders and manage competing priorities effectively
• Mentor and manage junior team members while contributing to team growth

Your Skills and Experience

• Strong commercial experience in Business Intelligence, reporting, and dashboard development
• Proven expertise with tools such as Power BI or Looker Studio
• Advanced SQL skills and experience working with large scale data environments such as BigQuery
• Experience delivering marketing or digital performance dashboards
• Ability to translate complex data into clear, actionable insights for stakeholders
• Interest in AI and emerging technologies, with evidence of personal exploration or projects
• Experience managing or mentoring others, with a collaborative approach
• Strong communication skills and the ability to balance multiple projects

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Junior Manager, Business Intelligence

London/Hybrid

Up to £46,000

Overview

This is an exciting opportunity to help build and shape a growing Business Intelligence function within a fast scaling, data driven organisation. You will play a key role in elevating reporting capabilities, working closely with senior stakeholders while delivering high quality insight across a variety of client projects.

The Company

They are a global media and analytics organisation focused on understanding what truly drives commercial performance. With a strong international presence and rapid expansion, they invest heavily in data, experimentation, and proprietary technology to deliver measurable outcomes. Having historically centralised data capabilities abroad, they are now building out a dedicated UK based function. This role will be integral to that growth.

The Role

You will work across existing and new client engagements, owning dashboard development and improving how data is structured and delivered.

• Audit and enhance existing dashboards and reporting products
• Lead discovery work to identify opportunities to improve data infrastructure and reporting setup
• Build and deliver new dashboards across marketing performance metrics such as clicks, impressions, and conversions
• Support onboarding of new client projects, ensuring data pipelines and reporting are fit for purpose
• Develop more advanced dashboard templating and explore future forecasting capabilities
• Integrate wider business data alongside performance metrics to drive deeper insights
• Create high quality, client ready visualisations including creative performance dashboards
• Collaborate with senior stakeholders and manage multiple projects in a fast paced environment

Your Skills and Experience

• Strong commercial experience with BI and reporting in a marketing or media environment
• Hands on expertise in Power BI or similar tools such as Data Studio
• Strong SQL skills, ideally with experience using BigQuery
• Experience building dashboards that drive actionable insight
• Ability to work with data pipelines and understand data collection funnels
• Interest in AI, with evidence of personal exploration or projects
• Strong communication skills and ability to manage multiple stakeholders and priorities
• Experience with Python or R is beneficial but not essential

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Job Description

Brain Labs – Director of Data Science

WFH – 3x a week in Old Street
Salary – up to £80,000 (no bonus)
Sponsorship – No (could look at someone with 2 years left on Visa if they are really strong, however the ideal is for someone to stay long term so ideally British citizens)

Team

• Most data capability has historically been in the India office
• Now decided to close and bring over to UK and build out a function here
• The purpose of this person will be to help grow the capabilities for the business
• Will report into Head of Data – Paul Wilmore
• Will manage the Junior DS Manager that we are also hiring for

Company

• Media agency that focuses on answering one question – what’s actually driving profit?
• Founded in 2012, they now have over 1000 employees across 5 continents
• They have their own proprietary agents, have built 32 media tools and have conducted 2500 experiments for their clients

Role

• Core remit of the role is focused on MMM – doing lots with google meridian as a business
• Implementing google MMM models for clients
• Need to be comfortable with opensource framework – meridian, robyn, piemc etc.
• Own the client delivery of MMM models from scratch – need to understand the whole process
• Know what goes into the model – understand good model vs a bad one
• 60% hands-on work vs 40% on the actual strategy – as team grows this will vary quite a lot
• Liasing and working directly with clients on delivery and strategy
• Work will vary a lot day to day between hands-on and strategic work (3 live clients at the moment) with pitches ongoing

What They Offer

• Salary up to £80,000
• Hybrid working with a London office
• Private healthcare, pension, and wellbeing support
• Generous holiday allowance and additional benefits
• Opportunity to shape and grow a data science function
• Clear progression into senior leadership as the team expands

How to Apply
Apply with your CV to be considered for this opportunity.

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Junior Manager, Data Science
London (Hybrid)
Up to £46,000
An exciting opportunity to join a growing data science function within a global marketing and analytics business. This role offers the chance to work on high-impact Marketing Mix Modelling projects while helping to build a newly established UK team.
The Company
They are a global media and analytics organisation focused on understanding what drives profit. With a strong foundation in data and engineering, they have developed advanced tools and experimentation capabilities to support client decision making. As they continue to invest in their UK presence, this role sits within a team that will play a key part in shaping future capability.
The Role

• Deliver Marketing Mix Modelling projects using tools such as Meridian, Robyn, or PyMC
• Own key stages of the modelling lifecycle including data preparation, model development, and analysis
• Translate complex outputs into clear, actionable insights for clients
• Work directly with stakeholders on delivery and strategic recommendations
• Balance hands-on modelling with client engagement across multiple projects
• Contribute to the growth and development of the data science function

Your Skills and Experience

• Strong commercial experience in Marketing Mix Modelling or statistical modelling
• Proficiency in Python and modern data science tools
• Understanding of Bayesian methods and marketing attribution
• Experience with open-source MMM frameworks such as Meridian, Robyn, or PyMC
• Ability to communicate technical concepts to non-technical audiences
• Experience in a client-facing or agency environment is advantageous

What They Offer

• Salary up to £46,000
• Hybrid working with a London office
• Healthcare, pension, and wellbeing support
• Generous holiday allowance and additional benefits
• Clear progression within a growing team

How to Apply
Apply with your CV to be considered.

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Director of Data Science (Marketing Mix Modelling & Analytics Leadership)

London (Hybrid)

Up to £80,000

The Opportunity

We’re partnering with a leading global media and analytics business seeking a Director of Data Science to lead and grow its Marketing Mix Modelling (MMM) capability.

This is a senior leadership role combining advanced analytics, client consulting, and team management. You’ll oversee complex modelling projects, shape data science strategy, and help clients make smarter media investment decisions through robust, commercially focused insights.

Key Responsibilities

• Lead end-to-end delivery of Marketing Mix Modelling projects
• Oversee advanced statistical and data science engagements across multiple clients
• Translate complex model outputs into clear, actionable business recommendations
• Build and maintain senior stakeholder relationships at executive level
• Lead, mentor, and develop a team of data scientists
• Drive the adoption of AI tools across data science workflows
• Support business development, thought leadership, and practice growth
• Establish and maintain best-in-class modelling, validation, and quality standards

What We’re Looking For

• Extensive experience delivering Marketing Mix Modelling projects
• Strong expertise in Python and modern statistical modelling techniques
• Experience with MMM methodologies and tools such as Meridian, Robyn, PyMC, or similar
• Deep understanding of Bayesian statistics and media attribution
• Proven experience leading and developing data science teams
• Ability to communicate complex technical concepts to senior business stakeholders
• Commercial acumen with experience connecting analytics to business outcomes
• Passion for innovation and applying AI to improve data science workflows

Ways of Working

• Hybrid working environment
• Blend of technical leadership and hands-on modelling
• High level of client exposure and strategic influence
• Opportunity to shape and grow a leading data science function
• Collaborative, innovation-driven culture

Benefits

• Competitive salary and bonus package
• Hybrid working flexibility
• Leadership and career development opportunities
• Access to cutting-edge analytics and AI technologies
• Opportunity to work with major global brands
• Collaborative and high-performing team environment
• Significant influence on business growth and strategy

How to Apply

If you’re an experienced data science leader with expertise in marketing effectiveness and a passion for turning data into commercial impact, we’d love to hear from you.

Apply with your CV or get in touch with me!

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Junior Manager, Data Science (Marketing Mix Modelling)

Central London (Hybrid) – 3 days a week

Up to £46,000

The Opportunity

We’re working with a leading media and marketing technology business seeking a Junior Manager, Data Science to support marketing effectiveness and Marketing Mix Modelling (MMM) projects.

This is an excellent opportunity for a technically strong data scientist looking to apply advanced analytics and modelling techniques to real-world marketing challenges. You’ll help clients make smarter media investment decisions while developing your expertise in marketing science, attribution, and AI-enabled analytics.

Key Responsibilities

• Support the delivery of Marketing Mix Modelling (MMM) projects
• Own workstreams including data preparation, modelling, and scenario analysis
• Deliver a range of statistical and analytical projects for clients
• Translate complex model outputs into clear business recommendations
• Use AI tools to improve workflows, coding, and documentation
• Communicate insights to both technical and non-technical stakeholders
• Support the development of best practices and process improvements
• Contribute to the growth of the wider data science function

What We’re Looking For

• Experience with Marketing Mix Modelling or statistical modelling
• Strong Python skills and experience working with large datasets
• Understanding of Bayesian statistics and attribution methodologies
• Experience with tools such as Meridian, Robyn, PyMC, or similar
• Ability to communicate technical findings clearly to stakeholders
• Strong attention to detail and analytical rigour
• Interest in marketing effectiveness and media measurement
• Experience using AI tools to improve productivity and workflows

Ways of Working

• Hybrid working environment
• Collaborative and highly technical team
• Exposure to cutting-edge marketing measurement projects
• Strong focus on innovation and AI adoption
• Excellent learning and development opportunities

Benefits

• Competitive salary and bonus potential
• Hybrid working flexibility
• Ongoing training and career development
• Access to industry-leading data science tools and technology
• Opportunity to work with well-known brands and complex datasets
• Supportive and collaborative culture
• Clear progression opportunities within a growing business

How to Apply

If you’re a data scientist with strong analytical skills and a passion for solving marketing challenges, we’d love to hear from you.

Apply with your CV or get in touch with me!

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Senior/Principal Applied AI Engineer
United States, hybrid or remote. Competitive salary plus benefits.
$150,000 to $205,000 + 15% Bonus

This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.

The Company
They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.

The Role
You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:

• Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
• Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
• Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
• Creating AI agents across digital and voice channels to support real-time interactions.
• Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
• Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
• Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.

Your Skills and Experience
You will bring strong, practical experience applying Generative AI in commercial settings, including:

• Advanced Python development skills with modern GenAI and machine learning libraries.
• Hands-on experience with large language models, prompt engineering, and LLM evaluation.
• Proven capability building RAG pipelines and working with vector databases.
• Strong SQL skills and experience working with cloud data platforms.
• Experience delivering production-grade conversational AI or chatbot solutions.
• The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Comfort working in fast-paced, cross-functional environments.

What They Offer

• Competitive salary and comprehensive benefits package.
• The chance to work on high-impact, enterprise-scale AI products.
• Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
• Clear opportunities for technical growth and influence within a growing Data and AI function.
• A collaborative, supportive culture that values continuous improvement and learning.

How to Apply
If you are an Applied AI Engineer looking to build and deploy meaningful Generative AI solutions, apply now to find out more.

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Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

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