About the role

  • Senior Data Scientist developing AI-native capabilities for energy analytics with data-driven approaches. Collaborating with cross-functional teams to drive revenue growth and AI solutions across sectors.

Responsibilities

  • Collaborating with product, data, research, modelling, data science and engineering teams
  • Build machine learning and forecasting models supporting cross-commodity scenario analysis
  • Conduct exploratory analysis across large-scale, high-dimensional datasets
  • Collaborate with engineers to design and implement scalable data pipelines
  • Support consulting engagements by developing analytical models and generating insight-rich deliverables
  • Document modelling approaches and participate in internal technical reviews

Requirements

  • 5+ years of experience applying machine learning or statistical modelling to real-world datasets
  • Strong experience with Python and ML libraries (e.g., scikit-learn, PyTorch, XGBoost)
  • Experience working with complex, multi-domain or high-dimensional datasets
  • Demonstrated ability to work in cross-functional teams with engineers, analysts, and domain experts
  • Strong analytical thinking and problem-solving skills

Benefits

  • Equal Opportunities employer
  • Support for applicants with disabilities
  • Commitment to sustainability
  • Recognition programs

Job title

Senior Data Scientist

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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