Data Scientist - Time Series Forecasting

Harnham; London; Hybrid; GBP 150,000 - 200,000; Part time

Job summary

A leading company in London is seeking a Data Scientist with expertise in time series forecasting. The role involves leading the development of models to predict ad revenue and website traffic while working collaboratively with cross-functional teams. Ideal candidates will have strong skills in Python, SQL, and GCP, along with a proven track record in deploying models to production. This position offers a competitive daily rate and a hybrid working environment.

Qualifications

• Proven expertise in time series forecasting.
• Strong Python and SQL skills.
• Experience deploying models in a cloud environment.

Responsibilities

• Build and deploy forecasting models to predict traffic and ad performance.
• Collaborate with stakeholders in various teams.
• Ensure models are robust and production-ready.

Skills

time series forecasting

Python

SQL

scikit-learn

Pandas

NumPy

GCP

cloud deployment

data pipelines

Job description

Data Scientist - Time Series Forecasting

Data Scientist - Time Series Forecasting

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Senior Consultant - AI, Machine Learning and Data Science

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

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

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Internet News

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