Senior Data Scientist

Edinburgh - UK

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

Wood Mackenzie is the global leader in analytics insights and proprietary data across the entire energy and natural resources landscape.

For over 50 years our work has guided the decisions of the worlds most influential energy producers utilities companies financial institutions and governments.

Now with the worlds energy system more complex and interconnected than ever before sector-specific views are no longer enough. Thats why weve redefined whats possible with Intelligence Connected.

By fusing our unparalleled proprietary data with the sharpest analytical minds all supercharged by Synoptic AI we deliver a clear interconnected view of the entire value chain. Our trusted team of 2700 experts across 30 countries breaks siloes and connects industries markets and regions across the globe.

This empowers our customers to identify risk sooner spot opportunities faster and recalibrate strategy with confidence whether planning days weeks months or decades ahead.

Wood Mackenzie
Intelligence Connected

Wood Mackenzie Brand Video

Wood Mackenzie Values

Inclusive we succeed together
Trusting we choose to trust each other
Customer committed we put customers at the heart of our decisions
Future Focused we accelerate change
Curious we turn knowledge into action

Job Description

The Senior Data Scientist will play a pivotal leadership role in building AI-native capabilities for both Synoptic Wood Mackenzies AI-first innovation unit and the broader Energy & Natural Resources consulting portfolio. This role will be a core contributor in the development of cross-domain AI systems knowledge-graphpowered analytics and advanced forecasting models that support high-impact commercial workflows such as portfolio scenario analysis M&A intelligence forecasting and energy transition planning.

Main responsibilities

Working in the central machine learning department you will be collaborating with our product data research modelling data science and engineering teams and reporting to the head of Applied AI. You will drive revenue growth by expanding our capabilities assets and end-to-end AI solutions.

Responsibilities will include:

Build machine learning and forecasting models supporting cross-commodity scenario analysis energy transition planning and strategic investment decision making
Work closely with embedded SMEs to encode domain knowledge into machine-readable structures that enable causal reasoning across global energy systems
Conduct exploratory analysis across large-scale high-dimensional datasets spanning commodities assets infrastructure and markets
Collaborate with engineers to design and implement scalable data pipelines and model deployment workflows
Support consulting engagements by developing analytical models running simulations and generating insight-rich deliverables
Work with product and research teams to validate models with early users and iteratively improve model performance
Document modelling approaches contribute to code quality and standards and participate in internal technical reviews

We are a hybrid working company and the successful applicant will be expected to be present in the office at least two days per week to foster and contribute to a collaborative environment but this may be subject to change in the future.

Due to the global nature of the team a degree of flexible working will be required to accommodate different time zones.

Key Skills & Experience

You will be passionate about solving complex customer problems and bringing great products to market.

Essential Skills

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

Preferred Skills

Understanding of energy markets asset modelling or related analytical domains
Experience in consulting or client-facing analysis is advantageous

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race colour religion age sex national origin disability or protected veteran status. You can find out more about your rights under the law at

If you are applying for a role and have a physical or mental disability we will support you with your application or through the hiring process.

Required Experience:

Senior IC

Wood Mackenzie is the global leader in analytics insights and proprietary data across the entire energy and natural resources landscape.For over 50 years our work has guided the decisions of the worlds most influential energy producers utilities companies financial institutions and governments.Now w...