Data Scientist - Time Series Forecasting

DATA SCIENTIST - TIME SERIES FORECASTING 6-MONTH CONTRACT £500-600 PER DAY (INSIDE IR35) This is an exciting opportunity for a Data Scientist to lead the development of robust time series forecasting models for a major media organisation. You'll take ownership of a fully scoped, delivery-focused project, working across daily, weekly, and monthly resolutions to forecast ad revenue, website traffic, and digital performance. The environment offers autonomy, technical depth, and the chance to make a measurable business impact from day one. THE COMPANY A leading name in the digital media space, this organisation is focused on leveraging data to drive growth and performance across its digital channels. With a modern cloud-based tech stack and a growing demand for predictive insights, they're investing in scalable data science capabilities. Based in London, the team operates on a hybrid model with 2 days a week in their. THE ROLE As the lead Data Scientist on this project, you'll be responsible for the end-to-end delivery of forecasting solutions, from model design to deployment. You'll collaborate closely with stakeholders across marketing, commercial, and product teams to shape model inputs and outputs that are both business-relevant and technically sound. Your responsibilities will include: • Building and deploying time series models for revenue, traffic, and ad performance • Operating across multiple temporal resolutions (daily, weekly, monthly) • Working with structured web analytics and revenue data in a cloud environment • Ensuring models are robust, explainable, and scalable for production use • Collaborating with cross-functional teams to understand needs and define targets • Managing delivery independently within a scoped project timeline KEY SKILLS AND REQUIREMENTS • 5+ years' experience delivering commercial time series forecasting projects • Strong programming ability in Python (NumPy, Pandas, scikit-learn) • Solid SQL skills and experience working with large datasets • Experience deploying models into production environments (GCP preferred) • Strong communication skills and stakeholder collaboration experience • Ability to manage the full delivery lifecycle autonomously TECH STACK • Python, SQL • GCP (BigQuery, Cloud Functions) • Docker, Kubernetes, Airflow • Git, CI/CD pipelines • Tableau (optional) WHY APPLY • Lead a high-impact forecasting project for a major media brand • Work with a modern, cloud-first tech stack • Hybrid working: • £600/day (Inside IR35, up to £650 billing rate) • 6-month initial contract HOW TO APPLY Please register your interest by sending your CV via the apply link on this page.