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 intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years' experience. Our team of over 2,400 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.

WoodMac.com

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

Wood Mackenzie is an industry-leading data analytics company that provides analysis and insight on the world's natural resources with a presence all around the globe. We're working on a next generation data analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world's transition to a more sustainable tomorrow. We're 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 Generative AI solutions within our products. You'll collaborate closely with a cross-functional team of data scientists, software engineers, data engineers and product managers that deliver our product roadmap. You'll 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:

Use Generative AI capabilities to develop innovative solutions for complex business problems Collaborate with product teams to understand the problems our customers face, design effective solutions to solve them, and ensure alignment with our strategic objectives. Apply Machine Learning / AI and advanced modelling techniques, leveraging appropriate data engineering and statistical concepts. Write maintainable, testable, and optimised code, while mentoring junior team members to adopt the same high standards. Partner with teams deploying data science solutions to gather feedback and improve our platform and approaches. Devise experiments and analyse results to drive improvements and achieve business goals. Be supported in growing and developing your skills while coaching and upskilling colleagues in the latest AI techniques.

You're a great fit for this role if:

You have successfully used Generative AI models to develop and deliver innovative products. You thrive as part of a high-performing team and contribute actively to collaborative projects. You can effectively communicate complex technical concepts to technical and non-technical stakeholders. You focus on ensuring data quality, integrity, and reliable AI outcomes. You understand that people build software, and value communication and collaboration.

Our Tech Stack

We use a wide variety of tools and technologies across our products. For this role, we're looking for:

Strong Python skills and experience with AI/ML approaches and frameworks such as RAG, LangChain, TensorFlow, and PyTorch. Exposure to LLMs from model families such as Anthropic, Meta, Amazon, and OpenAI. Familiarity with tools and packages like Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks. Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Proficiency in data pre-processing, data wrangling, and augmentation techniques. Experience with cloud platforms (e.g. AWS, Google Cloud, or Azure) for deploying scalable AI solutions. Understanding of MLOps practices, model deployment, and monitoring in production environments. Experience with Docker, Kubernetes, and CI/CD pipelines Knowledge of SQL and NoSQL databases, data modelling, and database querying. Experience with code repositories such as 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 have a shared component library implementing our design system We implement GraphQL and RESTful APIs using NodeJS and Python Our backend services are implemented in C# / .NET or Typescript / NodeJS DynamoDB, Redshift, Postgres, Elasticsearch, 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 www.eeoc.gov


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.