What you will do
Continue to build and lead a high-performing Marketing Science team that excels in predictive modelling, econometrics, and analytics innovation
Re‑define the roadmap for how the agency uses forecasting, scenario simulation, and machine‑learning models to shape client strategy
Own the development and deployment of predictive models that forecast revenue, demand, media impact, and customer behaviour
Introduce advanced forecasting techniques (e.g., machine learning time‑series models, Bayesian forecasting, and ensemble approaches) to elevate how clients plan their budgets
Build simulation engines
Lead the creation of forward‑looking dashboards that surface risks and opportunities before they show up in performance reports
Ensure MMM and MTA outputs feed directly into predictive models, creating a single, unified view that connects past performance with future outcomes
Guide C‑suite leaders using predictive insights that translate into bold, confident decisions
Move the team beyond static models into dynamic systems
Champion test‑and‑learn programmes that validate predictive outputs in the real world
Lead the evolution of proprietary forecasting and optimisation tools, integrating econometrics with machine learning for faster, sharper predictions
Partner with Data Engineering to strengthen data pipelines for real‑time or near‑real‑time forecasting
Standardise modelling frameworks so predictive intelligence is consistent, scalable, and reliable across all clients
Requirements
Deep experience building predictive models using advanced statistical and machine‑learning methods
Proven ability to translate predictive outputs into commercial strategy – e.g., budget reallocation, channel investment, pricing, demand planning
Strong forecasting experience using R, Python, or similar
Demonstrated leadership of modelling teams and complex analytics programmes
Expert‑level MMM and strong MTA understanding
Exceptional communication skills – able to break down predictive logic into simple, sharp direction for non‑technical senior stakeholders
Experience building optimisation engines (e.g., budget optimisers that allocate spend across channels based on predicted ROI)
Familiarity with reinforcement learning, causal ML, or agent‑based modelling
Diversity & Inclusion
Journey Further takes pride in creating an environment where everyone can be themselves. This starts with recruitment.
We pledge to make our roles as open as possible and to provide equal opportunities to everyone that is kind enough to give us their time. All recruitment decisions we take will be based solely on the positive skills and behaviours that applicants display and absolutely nothing else.
We do not discriminate based on any personal characteristic, we are a people first agency and we care about and celebrate individuals.
If something is important to you, it's important to us. If you have a particular need during the application process or during your time at Journey Further, please let us know.
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