In the middle of the energy transition, businesses and governments are faced with significant challenges. But the pace and scale of change mean every decision is made under mounting pressure. Now, more than ever, companies need reliable data, analytics and actionable insight.
Wood Mackenzie is the leading global provider of data and analytics solutions for the renewables, energy and natural resources sectors.
Wood Mackenzie’s services include data, analytics, insight, events and consultancy. A trusted partner for over 50 years, Wood Mackenzie’s team has over 2,300 experts across more than 30 global locations who cover the entire supply chain.
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
- Work with our product team to understand the problems our customers face, help design solutions to solve them and ensure alignment with our strategic objectives
- Use Machine Learning / AI and modelling techniques and apply appropriate data engineering, data mining and statistical concepts
- Write maintainable, testable, and optimised code – and help junior team members do the same
- Collaborate with teams deploying data science solutions within their product area and identify feedback that will improve the platform
- Ensure the high-quality implementation and delivery of our roadmap
- Devise effective experiments and analysis or results to achieve our business goals
- Be supported to grow and develop your skills whilst coaching junior colleagues
You're a great fit for this role if:
- You've successfully used generative models to develop and deliver innovative products
- You thrive when part of a high performing team and are eager to contribute to collaborative projects
- You can effectively communicate complex technical concepts to technical and non-technical stakeholders
- You maintain a focus on data quality, integrity, and ensuring reliable and accurate AI outcomes
- You understand that people build software and know the importance of 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:
- Solid skills in Python and AI / ML frameworks like Tensorflow, PyTorch and Langchain
- Understanding of big data technologies (e.g. Spark, Hadoop)
- Familiarity with ML-adjacent technologies like AWS Sagemaker and Apache Airflow
- Experience with data preprocessing, data wrangling, and data augmentation techniques
- Proficiency in using cloud platforms like 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.
Here’s an idea of other technologies you might encounter:
- Our services are deployed to AWS, typically using 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.
Find out more at [email protected]
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What We Do
In the middle of the energy transition, businesses and governments are faced with significant challenges. But the pace and scale of change mean every decision is made under mounting pressure. Now, more than ever, companies need reliable data, analytics and actionable insight.
Wood Mackenzie is the leading global provider of data and analytics solutions for the renewables, energy and natural resources sectors . Wood Mackenzie’s services include data, analytics, insight, events and consultancy. A trusted partner for over 50 years, Wood Mackenzie’s team has over 2,300 experts across more than 30 global locations who cover the entire supply chain. Wood Mackenzie’s data and analytics empowers energy producers, governments and financial institutions to be confident in their investment decisions in the face of rapidly evolving markets. Part of the Veritas group.
