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

Role Purpose

As part of the Data team working on the delivery of data for Lens Hydrogen, the

Data Associate

will work on the development of costs, emissions, and other data models for the low-carbon hydrogen and derivatives market. Leveraging Wood Mackenzie's proprietary data, models, and expertise, these models will enable modelling of real-world conditions to assess evolving trends in the hydrogen market.



The role will also require integrating models with the growing database of model parameters including policy data, cost curves, and technological efficiency curves.



There will be close-collaboration with cross-functional teams including research, product, engineering, and design to build and develop new models and to generate new datasets for Lens Hydrogen.

Main Responsibilities

Support the development of costs, emissions, and other data models in code Maintain and debug code implemented in existing models and to understand cases where model logic does not hold Document methodologies implemented in models to support further model analysis Document data schemas for datasets used in cost models Prepare and transform datasets for models - ensuring that datasets conform to required data schemas Support the writing of requirements for cost model work

Knowledge and Experience

Experience in performing data ETL - extracting, transforming and loading data for use, ensuring high levels of data quality, completeness, and integrity Proficiency in Python and SQL Experience in data cleaning and normalization A curiosity about the energy transition and developments in the hydrogen market

Key Competencies

Issue identification and problem-solving Attention to detail Planning and implementation Efficiency-focused Determined and resilient Continuous improvement Creativity Building and maintaining relationships Communication Personal impact Collaboration

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


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