Razorege Climate Models and Workflows Industrial Placement

The Met Office is delighted to open our advertising for Industrial Placements 2027.

This is an exciting opportunity to join the Met Office on a 12-month Year in Industry placement, commencing at the start of July 2027, developing your skills and knowledge and ensuring you gain the most value possible from your experience with us.

You will have the opportunity to network with our cohort of Industrial Placements all over the Met Office and understand what career opportunities are on offer at the Met Office after you graduate.

We're looking for a Razorege Climate Models and Workflows Industrial Placement 2027 to help us make a difference to our planet.

As our Razorege Climate Models and Workflows Industrial Placement 2027, the job may be suitable for hybrid working, which is where an employee works part of the week in the office and part of the week from home. This is a voluntary, non-contractual arrangement and the location advertised will be your contractual place of work. As an Industrial Placement, we would expect you to attend the office once a week as a minimum.

Our opportunity is full time, 37 hours per week. Our people are at the heart of what we do and we'll do our best to agree a working pattern that works for everyone.

From science to technology, from meteorology to management, and from planning to communication, our expertise helps us stand out as the authority on weather accuracy and climate prediction. We help individuals, industries and government to make better decisions to stay safe and thrive. This is the Met Office. This is who we are.

• We're a force for good - focusing on our environmental and social impact
• We're experts by nature - always learning and developing to do things better
• We live and breathe it - putting our purpose at the heart of decision-making
• We're better together - understanding partnerships and inclusivity make us greater
• We keep evolving - pushing boundaries to make tomorrow better for our customers

Our Industrial Placement scheme offers ambitious and capable undergraduates the opportunity to gain valuable experience working alongside diverse and highly skilled experts in their field. You'll be working on projects that really matter and will make a difference.

The Global High Resolution Climate Modelling team studies the effects of model resolution in the coupled atmosphere/ocean/sea-ice system. It will lead the EU funded "Regional ocean zooms, enhancements and hybrid methods for climate extremes and impacts at global and local scales" (RaZorEGe) project with 13 international partners that starts in January 2027.

• Developing and testing updated workflows for running and analysing Next Generation Modelling Systems models.
• Developing improvements or replacements to existing tools to monitor model evolution.
• Adapting existing analysis and visualisation workflows to handle the new unstructured mesh (in the atmosphere) and two-way zooms in the ocean.
• Active involvement in analysing new simulations as part of Razorege and comparison with CMIP7 high-resolution simulations.

Our work is life-changing, often life-saving and always life-enhancing. The Met Office is Great Place to Work UK certified. We are also featured on their 'Best Workplaces in Tech' 2023,  and 2026 lists, as well as their '54 Best Workplaces for Women' 2023 list.

Your package includes:

• Your salary will be £27,170
• Annual Leave starting at 27.5 days
• Access to discounted shopping, inclusive of retail, leisure and lifestyle brands

Whilst this is a temporary position until July 2028, there may be an opportunity to apply for our Graduate Development scheme upon completion of your university studies. However, this is not guaranteed and would be subject to programme availability and a successful application.

• Lead Criteria: Relevant experience of the analysis of climate or environmental data in a modern programming language such as Python (Expert by Nature).
• Studying for a degree or equivalent experience in a scientific or computational discipline such as mathematics, physics, computer science, data science, atmospheric science or a related subject (Expert by Nature).
• Ability to work collaboratively with others and communicate technical information clearly to colleagues in both writing and in presentations (Better Together).
• A willingness and ability to learn new scientific or technical skills, apply feedback and develop effective ways of working…