Senior Data Scientist

TL;DR

Senior Data Scientist (Data Science/ML): Developing AI-native capabilities and advanced forecasting models for energy and natural resources analytics with an accent on cross-domain AI systems, knowledge-graph analytics, and strategic investment decision support. Focus on building scalable machine learning models, encoding domain knowledge, and collaborating across product, data, and engineering teams to drive AI solutions in a hybrid work environment.

Location: Hybrid in Edinburgh or London, United Kingdom

Company

hirify.global is a global leader in analytics, insights, and proprietary data across the energy and natural resources sectors, with a team of 2,700 experts in 30 countries.

What you will do

• Build machine learning and forecasting models for scenario analysis and energy transition planning
• Encode domain knowledge into machine-readable structures enabling causal reasoning
• Analyze large-scale, high-dimensional datasets across commodities and markets
• Collaborate with engineers to design scalable data pipelines and deploy models
• Support consulting engagements with analytical models and simulations
• Validate and iteratively improve models with product and research teams

Requirements

• Must be able to work hybrid from Edinburgh or London offices
• 5+ years experience in machine learning or statistical modelling
• Strong Python and ML libraries experience (scikit-learn, PyTorch, XGBoost)
• Experience with complex, multi-domain datasets and cross-functional teamwork
• Strong analytical and problem-solving skills

Nice to have

• Knowledge of energy markets or asset modelling
• Consulting or client-facing analysis experience

Culture & Benefits

• Inclusive and trusting work environment with customer commitment
• Flexible working to accommodate global time zones
• Hybrid work model requiring office presence at least two days per week
• Focus on accelerating change and curiosity-driven innovation