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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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Head of AI & Machine Learning
$250,000 – $325,000 Base + Equity

Remote, United States. Competitive salary plus equity and benefits.

This is a rare opportunity to define and lead an AI strategy within a high-growth technology environment. You will combine hands-on machine learning expertise with strategic leadership, shaping how advanced AI capabilities drive real-world impact across a sophisticated product suite.

The Company
They are a fast-growing technology business operating within a highly data-driven environment, focused on transforming complex workflows through intelligent automation. Their platform supports large-scale data processing and decision-making for enterprise clients, helping to modernise manual, document-heavy processes. With strong backing and ambitious growth plans, they are investing heavily in AI to enhance product capability and maintain a competitive edge. This role sits at the centre of that transformation.

The Role

• Define and deliver the AI and machine learning strategy, aligning with product and business objectives
• Design, build, and deploy advanced NLP and document intelligence models for extracting and processing unstructured data
• Lead the full ML lifecycle including data ingestion, feature engineering, model development, evaluation, and deployment
• Explore and implement modern AI approaches such as large language models, embeddings, and retrieval augmented systems
• Build, mentor, and scale a high-performing machine learning team
• Collaborate with product and engineering teams to identify high-impact use cases and deliver scalable solutions
• Establish best practices for model monitoring, observability, and performance optimisation
• Provide technical and strategic guidance to senior stakeholders on AI opportunities and risks

Your Skills & Experience

• Strong commercial experience building and deploying machine learning models, particularly within NLP or document intelligence
• Expertise in processing unstructured or semi-structured data into structured outputs
• Proficiency in Python and modern machine learning frameworks such as PyTorch or similar
• Experience deploying models in production environments using cloud platforms and containerised workflows
• Proven ability to lead and develop technical teams while remaining hands-on
• Strong understanding of the full machine learning lifecycle and best practices in model evaluation and monitoring
• Ability to communicate complex technical concepts to a range of stakeholders

What They Offer

• Competitive salary and equity package
• Fully remote working with flexible arrangements
• Comprehensive healthcare and retirement benefits
• Generous holiday allowance and parental leave
• Clear progression path with the opportunity to shape and lead an AI function
• High impact role within a growing, innovation-focused business

How to Apply
If you are interested in leading cutting-edge AI initiatives in a high-growth environment, apply now to learn more.

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AI ENGINEER / ML ENGINEER – APPLIED AI & LLM SYSTEMS

$150,000 – $190,000 BASE SALARY

REMOTE / HYBRID (U.S.)

THE COMPANY

A high-growth technology company building AI-powered solutions to automate complex healthcare data workflows at scale.

• Focused on unstructured clinical and healthcare data transformation
• AI is core to the company’s product and long-term strategy
• Engineering-first culture with strong technical leadership
• Works with large-scale, real-world datasets in regulated environments
• Emphasis on production systems, not experimentation-only AI

THE ROLE

As an AI Engineer / ML Engineer, you’ll design, build, and scale production-grade AI systems focused on document processing, NLP, and LLM-powered workflows.

A deeply technical, hands-on engineering role with high ownership across the full AI lifecycle.

• Build and deploy scalable AI/ML systems using Python and PySpark
• Develop LLM and NLP pipelines for document extraction, structuring, and summarization
• Design and optimize batch pipelines and orchestration workflows (Airflow, Databricks, etc.)
• Productionize AI systems in collaboration with data and platform engineering teams
• Improve performance, latency, reliability, and observability of AI services
• Create evaluation and validation frameworks for model and system quality
• Work with large-scale structured and unstructured datasets
• Contribute to architecture decisions across AI infrastructure and model serving

YOUR SKILLS AND EXPERIENCE

4-10+ years of experience in AI Engineering, ML Engineering, MLOps, or Applied AI

Core Expertise:

• Building and deploying production AI/ML systems
• LLMs, NLP pipelines, or RAG-based systems
• Large-scale data processing and distributed computing

Technical Skills:

• Strong Python engineering background
• PySpark, Spark, Databricks, or similar distributed data tools
• Airflow or equivalent orchestration frameworks
• SQL and data pipeline development
• Experience with AWS, GCP, or Azure
• Monitoring, observability, and system optimization

Additional:

• Experience working with messy, real-world data environments
• Strong problem-solving and systems-thinking mindset
• Ability to own systems end-to-end from design to production

NICE TO HAVE

• Healthcare, clinical, or life sciences experience
• Familiarity with EHR/EMR, claims, or regulated datasets
• Experience with OCR, document parsing, or text extraction pipelines
• Exposure to MLflow, SageMaker, Vertex AI, or model serving frameworks

THE BENEFITS

• $150K – $190K base salary
• Flexible remote / hybrid work options
• High-impact role working on core AI systems
• Strong engineering culture with modern tooling
• Opportunity to shape architecture and technical direction
• Clear growth into senior and staff-level engineering roles

WHY THIS ROLE

This isn’t a research-only or prototype-heavy role-you’ll build AI systems that operate in production at scale.

You’ll work on meaningful, real-world problems where AI directly drives product value, with the opportunity to influence architecture, tooling, and long-term technical strategy.

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Associate Director, Business Intelligence

London (Hybrid, 3 days per week)
Up to £60,000
No sponsorship available

This is an opportunity to take ownership of Business Intelligence capability within a fast scaling, data driven organisation. You will play a key role in shaping how data is translated into commercial insight, working across a variety of client projects while helping to build and mature a growing UK based BI function.

The Company

They are a global media and analytics organisation focused on understanding what drives commercial performance. Operating across multiple international markets, they combine proprietary technology with experimentation and data science to deliver measurable results for clients. Following significant growth, they are investing in expanding their UK data capability, creating an opportunity to influence the direction of the BI function locally.

The Role

• Own the end to end delivery of reporting and dashboarding solutions across client projects
• Assess current BI products and identify opportunities to improve scalability, accuracy, and usability
• Build and enhance dashboards covering performance metrics such as clicks, impressions, and conversions
• Work closely with stakeholders to incorporate broader business data into reporting outputs
• Support onboarding of new client projects and ensure consistent delivery standards
• Contribute to evolving templating and forecasting capabilities within the BI offering
• Mentor and support junior team members while helping to shape best practice across the function

Your Skills and Experience

• Strong commercial experience in Business Intelligence and reporting within a marketing or digital environment
• Advanced dashboarding skills using tools such as Looker Studio or Power BI
• Strong SQL experience with exposure to BigQuery or similar cloud platforms
• Experience working with marketing performance data and building actionable insights
• Ability to manage multiple stakeholders and communicate effectively across technical and non technical audiences
• Interest in applying AI concepts or tools to enhance reporting and analytics workflows
• Experience mentoring or supporting junior talent within a team
• Experience with Looker Studio/Data Studio is a must
• Hands on experience with Power BI

What They Offer

• Salary up to £60,000
• Hybrid working with three days per week in a central London office
• 25 days holiday plus bank holidays and additional leave benefits
• Private healthcare and wellbeing allowance
• Pension contribution and enhanced parental leave options
• Daily meals provided in the office and additional lifestyle benefits
• The opportunity to play a key role in building and shaping a growing BI function

How to Apply

If you are interested in combining technical expertise with stakeholder impact in a growing data environment, please apply with your CV to be considered.

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Junior Manager, Business Intelligence

London, hybrid – 3 days a week in office
Up to £46,000
No sponsorship offered – must be a UK citizen

This is an opportunity to join a fast growing media and analytics business that is investing heavily in its UK data capability. As a Junior Manager within Business Intelligence, you will play a key role in shaping how data is used to drive client performance, working on impactful dashboarding and reporting solutions that influence real business decisions.

The Company

They are a global media and analytics organisation focused on understanding what truly drives commercial performance. With a strong international presence and a reputation for innovation, they combine proprietary tools, experimentation and data science to support client growth.
After building a large data function internationally, they are now investing in a UK based team and looking for individuals who can help establish and scale this capability locally. You will join at an exciting point in their growth journey, with real scope to shape how the function develops.

The Role

You will sit within the Business Intelligence team, supporting the delivery and evolution of reporting and dashboarding solutions across a range of client projects.

• Review existing dashboards and reporting products, identifying opportunities to improve structure, quality and scalability
• Build new dashboards and reporting solutions using tools such as Power BI and Data Studio
• Support onboarding of new client projects, ensuring data flows and reporting frameworks are set up effectively
• Work with marketing performance data including clicks, impressions, conversions and wider business metrics
• Enhance templating approaches and explore more advanced capabilities such as forecasting
• Integrate broader client data sources to deliver more holistic insights
• Deliver high quality, client ready outputs and present insights clearly to stakeholders
• Contribute to the growth of the BI function and support best practice development

Your Skills and Experience

• Strong commercial experience in business intelligence, reporting or analytics within a marketing or digital environment
• Experience with Looker Studio/Data Studio is a must
• Hands on experience with Power BI
• Strong SQL skills and experience working with large datasets, ideally within BigQuery
• Experience working with marketing or performance data and translating this into actionable insight
• Ability to manage multiple projects and stakeholder requests simultaneously
• Clear communication skills, with the ability to present insights to both technical and non technical audiences
• Interest in AI and emerging technologies, with evidence of applying or exploring this in personal or professional projects
• Experience with Python or R is advantageous

What They Offer

• Salary up to £46,000
• Hybrid working with three days per week in a central London office
• 25 days holiday plus bank holidays and additional time off during the festive period
• Private healthcare after probation
• Daily breakfast and lunch provided in the office
• Monthly wellbeing allowance
• Competitive pension scheme
• Enhanced parental leave after qualifying service
• Opportunity to work internationally after one year, subject to location and visa requirements
• Clear progression opportunities as the UK BI function continues to grow

How to Apply

If you are interested in this Junior Manager, Business Intelligence role, please apply with your CV and we will be in touch to discuss the next steps.

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JUNIOR MANAGER, BUSINESS INTELLIGENCE
LONDON/HYBRID
UP TO £46K

This is an opportunity to join a growing Business Intelligence function at a pivotal stage of its development. You will play a key role in shaping how reporting and dashboarding is delivered as the team scales in the UK.

ROLES AND RESPONSIBILITIES:
The Junior Manager of BI wiLL:

• Work with existing dashboards and reporting products, identifying opportunities to improve structure and performance
• Support discovery work to assess current BI setups and implement enhancements
• Build new dashboards across marketing performance metrics including clicks, impressions, and conversions
• Onboard new client projects and deliver tailored reporting solutions
• Improve existing templating approaches and contribute to future capabilities such as forecasting
• Incorporate wider client business data into reporting outputs
• Deliver high-quality, client-ready dashboards
• Collaborate with stakeholders across both technical and non-technical teams

YOUR SKILLS AND EXPERIENCE:

• Strong experience in BI and dashboarding within a marketing or media environment
• Proficiency in Looker/Data Studio
• Wider Power BI experience
• Advanced SQL skills and experience working with BigQuery
• Experience working with marketing performance data and delivering actionable insights
• Interest in AI and its application to reporting and analytics
• Experience managing multiple projects and stakeholder requests
• Clear communication skills with a collaborative approach
• Experience with Python or R would be beneficial

APPLY BELOW

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ASSOCIATE DIRECTOR
LONDON/HYBRID
UP TO £60K

This is a unique opportunity to shape and scale a growing Business Intelligence function within a high-performing media and marketing environment. You will play a key role in elevating how data is used to drive commercial outcomes, working closely with senior stakeholders and influencing the direction of BI across the business.

ROLES AND RESPONSIBILITIES:
The Associate Director will:

• Own and lead the day-to-day delivery of BI products, including dashboards and reporting solutions
• Assess existing reporting frameworks and identify opportunities to enhance structure, scalability, and impact
• Design and build high-quality dashboards across marketing performance metrics such as clicks, impressions, and conversions
• Support onboarding of new client projects, delivering tailored reporting solutions from initial discovery through to deployment
• Develop and improve templating approaches, with scope to introduce more advanced capabilities such as forecasting
• Integrate broader client business data into reporting to provide more holistic insights
• Partner with stakeholders across the business to ensure outputs meet both technical and commercial needs
• Mentor and support junior team members while contributing to the wider growth of the BI function

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

• Strong commercial experience delivering BI and reporting solutions within a marketing or media environment
• Expertise in Looker/Data studio for dashboarding
• Wider experience in Power BI would be beneficial
• Advanced SQL skills, with experience working in platforms such as BigQuery
• Experience working with marketing performance data and building actionable insights from complex datasets
• Confidence managing multiple projects and stakeholders, with clear and effective communication skills
• Demonstrated interest in AI and its application to analytics or reporting workflows
• Experience mentoring or supporting more junior team members
• Additional experience with Python or R would be advantageous

APPLY BELOW!

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