Agentic Engineer & Data Analyst, Havas Creative Network
Who We Are
Havas Creative Network operates at the intersection of creativity, data, culture, and technology - built around our Village model and united by a single ambition: growth, powered by desire.
Our global scale spans 23,000+ people across 72 Villages, powered by an operating model that fuses intelligence, creativity and technology into one connected ecosystem.
The Havas Creative Network Global Intelligence & Innovation team is Havas Creative’s global engine for strategy, intelligence and innovation - supporting key global pitches and developing proprietary research, IP, methods and tools that elevate creative excellence across the network.
The Role
We are seeking an Agentic Engineer & Data Analyst to join the Global Strategy, Intelligence & Innovation team.
This hybrid role sits at the intersection of AI engineering, data analysis and strategic intelligence. You will help us build the next generation of AI-powered intelligence products while turning complex data into insights that strengthen strategy, creativity and client growth.
You will prototype and develop AI-powered tools, agents and applications, connecting them to proprietary Havas research, client data and external sources. Alongside this, you will work hands-on with consumer, brand, cultural, social and behavioural data, using Python, SQL and AI-enabled analytical techniques to identify patterns, signals and opportunities.
We are looking for someone equally comfortable interrogating a dataset, orchestrating AI agents and rapidly prototyping a new intelligence tool.
What We’re Looking For
You will bring:
- Strong Python skills across data analysis and application development
- Experience working with SQL, databases and complex datasets
- Hands-on experience building with LLMs, generative AI and agentic workflows
- Experience with APIs, tool calling and connecting applications to multiple data sources
- Strong quantitative and analytical skills, ideally across consumer, brand, social or behavioural data
- Understanding of statistical analysis and quantitative research methodologies
- Experience using AI coding tools such as Claude Code, Gemini, Codex or equivalent
- Ability to rapidly prototype ideas and turn successful prototypes into robust applications
- Strong data visualisation and communication skills
- Ability to translate technical analysis into clear strategic implications
- Curiosity about emerging AI models, technologies and analytical approaches
- Strong collaboration skills and confidence working with technical and non-technical stakeholders
Experience with BigQuery, GCP, Vertex AI, Cloud Run, Web Servers, MySQL, RAG, embeddings or vector search would be advantageous.
Responsibilities
Agentic AI & Intelligence Products
- Prototype and build AI-powered tools, agents and applications that solve strategy, intelligence and creative challenges
- Develop agentic workflows that research, analyse and synthesise information across multiple data sources
- Connect AI applications to databases, APIs and structured and unstructured data
- Rapidly test emerging AI capabilities and develop the strongest ideas into scalable products
- Review AI-generated code and outputs to ensure quality, accuracy and reliability
Data Analysis & Intelligence
- Analyse consumer, brand, cultural, social, behavioural and market data to uncover actionable insights
- Use Python, SQL and AI-enabled approaches to interrogate large and complex datasets
- Combine multiple data sources to build richer perspectives on audiences, brands, categories and culture
- Support quantitative research, from survey development through to analysis and interpretation
- Translate analysis into clear strategic recommendations, not simply data reporting
Pitches, Clients & Thought Leadership
- Provide data, intelligence and technical support for global pitches and major client projects
- Develop bespoke analyses and tools that strengthen strategic arguments and uncover growth opportunities
- Support proprietary Havas research and thought leadership through data analysis and AI-enabled approaches
- Help identify opportunities to develop and commercialise intelligence products for clients
- Present data, insights and technical outputs clearly to internal teams and clients
Collaboration & Innovation
- Work closely with strategists, researchers, creatives and technology specialists to turn business challenges into analytical and technical solutions
- Translate non-technical requirements into effective data and AI solutions
- Champion experimentation with emerging AI, data and analytical approaches
- Help build a culture where technology and intelligence enable better strategic and creative thinking