What are the responsibilities and job description for the AI Senior Data Scientist position at Wood Mackenzie?

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

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