AI Senior Data Scientist
AI Senior Data Scientist
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Job Description
Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human an ever-changing world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats why we cover the entire supply chain with unparalleled breadth and depth backed by over 50 years experience. Our team of over 2400 experts operating across 30 global locations are enabling customers decisions through real-time analytics consultancy events and thought leadership. Together we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.
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
Wood Mackenzie is an industry-leading data analytics company that provides analysis and insight on the worlds natural resources with a presence all around the globe. Were working on a next generation data analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the worlds transition to a more sustainable tomorrow. Were looking for a Senior Data Scientist to join our team.
This role will be working within our AI group and focus on the research development and delivery of AI solutions across our product suite. Youll collaborate closely with a cross-functional team of data scientists engineers and product managers to help deliver our product roadmap. Youll apply advanced AI techniques and ensure high standards of data quality and integrity in our solutions.
The successful candidate for this role must have a strong Data Science background and understand the challenges of delivering data products with a commitment to incremental delivery. Proven experience of data science projects and the ability to articulate ideas effectively across multiple business areas is essential.
As one of our Senior Data Scientists you will:
- Design develop and evaluate AI and Machine Learning models
- Apply cutting-edge Machine Learning and AI techniques to solve complex modelling challenges in the energy sector
- Leverage Generative AI capabilities including LLM post-training and fine-tuning to develop innovative solutions for energy-related challenges
- Collaborate with product engineering and domain teams to understand user requirements and develop innovative production-ready AI solutions aligned with strategic objectives
- Lead the delivery of analytical components from concept through deployment working closely with team members to validate approaches and ensure high-quality outcomes
- Write maintainable testable and optimised code while mentoring junior team members to adopt the same high standards.
- Actively participate in peer reviews knowledge sharing sessions and technical discussions while continuously developing your expertise
About You
Essential
- You have successfully applied Generative AI and Machine Learning techniques in real-world projects delivering innovative products to market
- You hold a degree in a technical or quantitative field (e.g. AI computer science engineering mathematics physics or related discipline) with proven professional experience applying data science in commercial or research environments
- You possess strong analytical skills demonstrate attention to detail and excel at transforming data into actionable insights
- You have experience with version control systems agile methodologies and collaborative development environments
- You communicate effectively with both technical and non-technical stakeholders and thrive in collaborative cross-functional environments
- You demonstrate intellectual curiosity embrace continuous learning and are passionate about advancing your expertise in data science and AI
- You excel in collaborative team environments while taking full ownership of your deliverables
Desirable
- Advanced ML Architectures: Experience implementing specialised neural networks such as Graph Neural Networks (GNNs) for modelling complex relationships or Physics-Informed Neural Networks (PINNs) for incorporating domain knowledge
- LLM Specialisation: Hands-on experience with modern LLM training techniques including fine-tuning RLHF parameter-efficient methods (LoRA/QLoRA) or custom post-training workflows
- Generative AI for Prediction: Ability to leverage Generative AI for forecasting predictive modelling or scenario generation in data-driven applications
- Energy Domain Knowledge: Background in power systems energy dispatch optimisation grid modelling or other energy sector applications where AI/ML drives operational decisions
Our Tech Stack
We use a wide variety of tools and technologies across our products. For this role were looking for:
- Strong Python proficiency with hands-on experience in AI/ML frameworks including RAG LangChain TensorFlow and PyTorch
- Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic Meta Amazon OpenAI)
- Proficiency with essential data science libraries including Pandas NumPy scikit-learn Plotly/Matplotlib and Jupyter Notebooks
- Knowledge of ML-adjacent technologies including AWS SageMaker and Apache Airflow.
- Strong skills in data preprocessing wrangling and augmentation techniques
- Experience deploying scalable AI solutions on cloud platforms (AWS Google Cloud or Azure) with enthusiasm for MLOps tools and practices
- Proficiency with version control systems including Git and GitHub
Other Technologies You Might Encounter
- Our services are deployed to AWS typically using Bedrock Lambda ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration
- Our web products are developed using TypeScript React and Redux
- We implement GraphQL and RESTful APIs using NodeJS and Python
- Our backend services are implemented in C# / .NET or Typescript / NodeJS
- DynamoDB Redshift Postgres Opensearch and S3 are our go to data stores
- We run our ETL data pipelines using Python
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
Employment Type
Full-Time
