Data Scientist
Posted 2 weeks ago by Harnham
£600 Per day
Outside
Hybrid
City Of London, England, United Kingdom
Summary: A UK-based retail organization is seeking a contract Data Scientist with strong engineering capabilities to develop a production-ready daily forecasting solution aimed at improving warehouse labor planning. The role involves collaborating with logistics stakeholders and an experienced data science team to design a scalable forecasting system. The position is remote/hybrid and focuses on delivering impactful solutions with thorough documentation. The contract is for 6 months and is classified as outside IR35.
Key Responsibilities:
- Design and deploy a time series forecasting system using Databricks on Azure, with data in Snowflake
- Translate logistics needs into data science solutions
- Collaborate with other data scientists and dashboard developers
- Incorporate monitoring, error handling, and environment separation (dev/test/prod)
- Deliver clean code with CI/CD pipelines and production-readiness
Key Skills:
- Strong Python (in a production environment)
- Experience with Databricks, Azure, Snowflake
- Time series forecasting, ideally in operations or logistics
- Understanding of software engineering best practices (e.g. modularity, testing, version control)
- Desirable: PyTorch (for neural forecasting models)
- Experience with Spark, Azure DevOps, CI/CD
- Knowledge of advanced forecasting architectures (seq2seq, transformers)
Salary (Rate): £600 daily
City: City Of London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Contract Role: Data Scientist (with Strong Engineering Capability)
Location : Remote/Hybrid (UK-based)
Day Rate :£550 - £600
Duration : 6 months (may finish earlier)
Start Date : ASAP
IR35 : Outside IR35 (TBC)
Overview
A UK-based retail organisation is seeking a contract Data Scientist to support the delivery of a robust, production-ready daily forecasting solution to improve warehouse labour planning. The project is fully budgeted and urgent due to internal capacity constraints. You will be embedded in an experienced data science team and work closely with logistics stakeholders to design and implement a scalable forecasting system. The role focuses on delivering real business impact with clean handover and strong documentation.
Business Context
- Forecasting required for distribution centres
- Current labour planning is manual and inefficient
- Need to forecast workforce demand (e.g. pallets per person) based on product movement
- Forecasting over a 6-week horizon, daily, by product group and warehouse zone
- Solution should be robust, scalable, and production-grade
Key Responsibilities
- Design and deploy a time series forecasting system using Databricks on Azure , with data in Snowflake
- Translate logistics needs into data science solutions
- Collaborate with other data scientists and dashboard developers
- Incorporate monitoring, error handling, and environment separation (dev/test/prod)
- Deliver clean code with CI/CD pipelines and production-readiness
Technical Skills Required:
- Strong Python (in a production environment)
- Experience with Databricks, Azure, Snowflake
- Time series forecasting, ideally in operations or logistics
- Understanding of software engineering best practices (e.g. modularity, testing, version control)
Desirable:
- PyTorch (for neural forecasting models)
- Experience with Spark, Azure DevOps, CI/CD
- Knowledge of advanced forecasting architectures (seq2seq, transformers)