AI Senior Data Scientist

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 HRenquiries@woodmac.com