Time Series Data Scientist (Contract)

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.

Before applying for this role, please read the following information about this opportunity found below.
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 projects

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