Data Scientist - Time Series Forecasting

Data Scientist - Time Series Forecasting

Posted 1 week ago by Harnham

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£600 Per day
Inside
Hybrid
London, England, United Kingdom
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Airflow Apache Airflow Azure Kubernetes Service Billing Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery Data Science Digital Media Docker (Software) Forecasting Generic Programming Git (Version Control System) Google Cloud Platform (GCP) Income / Revenue Kubernetes Pandas (Python Package) Python (Programming Language) Scikit-learn (Machine Learning Library) Software Development SQL (Programming Language) Stakeholder Management Tableau (Business Intelligence Software) Time Series Time Series Analysis And Forecasting Time Series Modeling Web Analytics Web Traffic

Summary: This role is for a Data Scientist specializing in time series forecasting, tasked with leading the development of forecasting models for a major media organization. The position involves managing a scoped project to predict ad revenue, website traffic, and digital performance, while collaborating with various stakeholders. The role offers autonomy and the opportunity to make a significant business impact. The contract is for six months and operates on a hybrid working model.

Key Responsibilities:

  • 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:

  • 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

Salary (Rate): £600.00/daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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.

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