Contract Data Scientist - Time Series Forecasting Duration: 6 months Rate: £600-700/day (Inside IR35) Location: Hybrid - 1-2 days/week in Central London We're hiring a contract Data Scientist to lead the development of forecasting models for a major media organisation. The project is fully scoped and delivery-focused; you'll be responsible for building daily, weekly, and monthly time series models to predict ad revenue, website traffic, and overall digital performance. Key Responsibilities • Build and deploy time series forecasting models to predict traffic, ad performance, and revenue • Work across multiple temporal resolutions (daily, weekly, monthly) • Collaborate with stakeholders in product, marketing, and commercial teams to define inputs and targets • Work with structured web analytics and revenue data in a cloud environment • Ensure models are robust, explainable, and production-ready Tech Environment • Python (NumPy, Pandas, scikit-learn) • SQL • GCP (BigQuery, Cloud Functions) • Deployment: Docker, Kubernetes, Airflow • Git, CI/CD pipelines • Tableau (optional) Requirements • Proven expertise in time series forecasting at multiple granularities • Strong Python and SQL skills • Experience deploying models into production in a cloud environment (GCP preferred) • Ability to work independently and manage delivery from end to end • Strong communication skills for cross-team collaboration Desired Skills and Experience time series forecasting, temporal modelling, Python, SQL, scikit-learn, Pandas, NumPy, Prophet, GCP, cloud deployment, productionising models, data pipelines, model validation, stakeholder collaboration, media data