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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Data Science - **Company:** Brainlabs - **Location:** Birmingham, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Cleansing, Python (Programming Language) - **Published:** August 10, 2026 - **Apply:** https://www.totaljobs.com/job/director-of-data-science/brainlabs-job107816235 ## About the Role * An MMM Expert: You have extensive, hands-on experience with Marketing Mix Modelling, including working knowledge of Meridian, Robyn, and/or PyMC, and a track record of delivering MMM projects that have driven real client decisions. * Technically Proficient: You are fluent in Python and experienced with GCP, with a strong grounding in Bayesian statistics and the principles underpinning modern media attribution. * AI-Forward: You actively explore how AI tools can augment data science practice, from speeding up code development and model documentation to helping non-technical stakeholders engage more confidently with complex outputs. * A Skilled Communicator of Complexity: You can take the output of a sophisticated model and tell a story with it that a CMO finds compelling and a media team can act on, without sacrificing the integrity of the underlying analysis. * An Experienced Team Leader: You have led teams of data scientists, with a genuine commitment to their development and a clear view of what good technical mentorship looks like. * Commercially Astute: You understand how data science creates commercial value for clients and for Brainlabs, and connect technical decisions to business outcomes in conversations with senior stakeholders. * A Practitioner-Leader: You remain close to the technical work, not just the management of it, and hold yourself to the same standard of rigour you expect from your team. ## Description * Lead MMM Deployments: You own the end-to-end delivery of Google Meridian and other MMM projects for clients, from initial scoping and data preparation through to model calibration, scenario planning, and insight presentation. * Develop and Deliver Modelling Projects: You scope and lead a broader range of data science engagements beyond MMM, identifying where advanced modelling can solve real client problems and designing solutions that are technically sound and commercially relevant. * Translate Complexity Into Action: You distil the outputs of complex statistical models into narratives that senior client stakeholders can understand and act on, connecting model findings directly to media budget decisions and business strategy. * Drive AI Adoption Across the Team: You lead the integration of AI tools, including Claude, into the data science team's ways of working - from accelerating code development and model documentation to improving how technical outputs are packaged and communicated to clients. * Own Senior Client Relationships: You are Brainlabs' senior data science point of contact for key clients, presenting findings and recommendations at CMO and VP level and building confidence in our analytical approach. * Build and Lead the Data Science Team: You manage and develop a team of data scientists, setting technical standards, running structured development conversations, and ensuring the team's output meets the quality bar the practice needs. * Grow the Practice: You drive the development of Brainlabs' data science proposition, contributing to new business pitches, publishing thought leadership, and building the processes that allow the practice to scale., * Client Outcomes: Clients can point to specific budget decisions informed by your modelling work, and you can evidence the incremental value delivered through the projects you lead. * Model Quality: Every MMM deployment you oversee meets a documented quality standard, with calibration, validation, and scenario outputs that you and your team can defend under scrutiny. * Clear Communication: Your data science outputs land with senior client stakeholders, evidenced by positive feedback and by clients returning to Brainlabs for further analytical work. * AI Adoption: You achieve documented AI adoption across the data science team's workflows, with clear evidence of time saved or quality improved as a result. * Team Development: The data scientists in your team are growing in capability, and you can point to specific examples of how your leadership has raised their technical standards or broadened their skills. * Practice Growth: You contribute to at least one new business pitch per quarter and publish thought leadership that builds Brainlabs' data science credentials in the market. * Commercial Impact: The data science practice grows its revenue and client base under your leadership, and you can evidence progress against agreed commercial targets over time. ## Related Videos - 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