Senior Data Scientist

Wood Mackenzie

Multiple Locations
Hybrid
Machine learning and forecasting models
Python and ml libraries
Complex, multi-domain datasets
The Senior Data Scientist will play a pivotal leadership role in building AI-native capabilities for both Synoptic and the broader Energy & Natural Resources consulting portfolio

Job Summary

  • The Senior Data Scientist will play a pivotal leadership role in building AI-native capabilities for both Synoptic and the broader Energy & Natural Resources consulting portfolio.
  • Responsibilities include building machine learning and forecasting models, encoding domain knowledge, conducting exploratory analysis, and collaborating with engineers on data pipelines and deployment workflows.
  • This is a hybrid working company, requiring presence in the office at least two days per week, with flexible working needed to accommodate different time zones.

Matching Summary

The Senior Data Scientist will play a pivotal leadership role in building AI-native capabilities for both Synoptic and the broader Energy & Natural Resources consulting portfolio.

Skills & Requirements

Must-have

  • Machine learning and forecasting models
  • Python and ML libraries
  • Complex, multi-domain datasets
  • Cross-functional teams collaboration
  • Analytical thinking and problem-solving

Nice-to-have

  • Customer problem solving
  • Domain knowledge encoding
  • Energy markets understanding
  • Consulting or client-facing analysis

Key Requirements

  • Strong experience applying ML/statistical modelling
  • Experience with Python and ML libraries
  • Experience with complex datasets
  • Demonstrated cross-functional team work
  • Strong analytical thinking skills

Work Rights

Not specified

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