Data Scientist - Demand Forecasting

Data Scientist - Demand Forecasting

Posted 2 days ago by Harnham

£550 Per day
Outside
Hybrid
London, England, United Kingdom

Summary: The Data Scientist role focuses on demand forecasting within the supply chain, requiring advanced analytics capabilities to ensure timely product delivery. The position is a 6-month contract with an ASAP start, requiring one day a month in the London office. The role emphasizes skills in time series analysis and decision tree methodologies, along with hyperparameter tuning. Candidates should also have a strong mathematical background for optimization and non-linear component identification.

Key Responsibilities:

  • Utilize advanced analytics capabilities for supply chain management.
  • Conduct demand forecasting using time series analysis and decision trees.
  • Perform hyperparameter tuning and fine-tuning of algorithms.
  • Identify non-linear components and optimize algorithms.
  • Decompose time series data for better forecasting accuracy.

Key Skills:

  • Advanced analytics capabilities.
  • Experience in demand forecasting.
  • Proficiency in time series analysis and decision trees.
  • Skills in hyperparameter tuning and algorithm optimization.
  • Strong mathematical background for optimization and constraint equations.

Salary (Rate): £550 daily

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Scientist - Demand Forecasting - £550 a day/ outside IR35 - 6 months contract - 1 day a month in London office - ASAP start

Required Skills:

  • Bring advanced analytics capabilties to supply chain (deliver products - time and place)
  • Demand Froecasting
  • Time series, decision tree
  • Hyper parameter tuning/ fine tuning

nice to haves:

  • Optimisation of algorithms
  • Working on a product over time
  • Math- have equations and constraint- find the best answer
  • Non linear components identification
  • Time series decomposition