2026 - Week 3
Pattern recognition is so important to learn as a meteorologist because it helps you make more confident short-range forecasts, but it is also directly related to long-range forecasts using teleconnections and analogs.
If you can read the patterns, you can jump the models or predict what they are going to show before they show it, and you more assuredly inform a client about the impact of a specific weather pattern on their operations, both in the near-term and well in advance, so they can staff and plan.
Working ad hoc with natural gas traders, I distinctly remember monitoring the 12z GFS run and, before each 6-hourly frame, sending rapid messages to the trading floor about the direction the GFS was likely to take based on temperature anomalies. The GFS and the ECMWF can influence the market, regardless of whether they are correct or not; the market reacts when the model run is released.
Many industries, sectors, and businesses benefit from your being able to recognize specific patterns. While you may learn about this in college, many universities don’t have the time or staffing to cover this and many other forecasting skills at the level that is needed to be successful in a professional role.
In mid-February, My Met Job will be offering an introductory, starter 4-session instructor-led course on developing your pattern recognition skills. The course will be taught using real and hypothetical client forecasts over a variety of industries.
Details coming soon about this course.
The Jobs
United States
ReInsurance
Job Title: Catastrophe Modeling Analytic Intern (two types of interns listed on posting)
Company: AON
Location: Chicago, IL or Bloomington, MN
Work-Location: Hybrid
Pay: $24.50/hour
Hours: Weekdays.
Time Period: 10-weeks long
Qualifications:
Degree: Candidates pursuing a Bachelor’s degree (BA/BS) in Economics, Finance, Math, Computer Science, or other similarly quantitative or analytically oriented major, like atmospheric science. - If you are in a heavy quantitative college program, then you should apply.
Years: Rising seniors graduating between December 2026 and June 2027 with a minimum cumulative GPA of 3.0.
Skills:
-
Experience interpreting data, analyzing results, and identifying trends in complex datasets
-
Excellent interpersonal skills and ability to collaborate well with others externally and internally.  Well-rounded communication skills and the ability to interact with a variety of audiences
-
Ability to think strategically and analytically, as well as work independently and take initiative
-
Programming experience (SQL, R, or Python) and/or Visualization Software Skills (Tableau, Power BI, etc.) a plus!
-
(Re)Insurance experience is a plus!
Catastrophe Predictive Analytics Intern
-
An actuarial candidate having passed multiple actuarial exams is preferred
-
Advanced programming and SQL skills required.
Who Should Apply?
-
I wanted to post this internship to show you how not every position is going to line up perfectly, but some people may find their skills can stretch to cover roles just outside of meteorology. While your dream may be meteorology, realistically, getting a job to build professional skills in the short-term should take higher priority. You can always keep looking for meteorology jobs once you are being paid for something.
-
If you have a more quantitative, analytical lean to your interests, reinsurance is a sector that also hires meteorologists. So, while this role is not exactly that, companies like this have meteorologists.
General Operational Meteorology
Job Title: Meteorologist (2 openings)
Company: AlertMedia
Location: Austin, Texas
Work-Location: Remote
Pay: Base + Bonus
Hours: 24/7
Benefits: 100% paid for medical
Qualifications:
Degree: Bachelor’s in Meteorology, Atmospheric Science
Years: 2 to 3 years of experience in operational meteorology
Who Should Apply?
-
I decided to repost this as they are good, remote jobs for the right people.
-
There are two openings, one is definitely nights, and the other has not been set yet.
-
You have experience forecasting and can handle covering multiple regions, including international, on your shift.
-
You really are fascinated by headline weather events, both forecasting and sharing about the event. You should be able to show this through your application, and your LinkedIn profile should showcase how much you are interested in this type of work.
-
Every time you read or see a major weather event, you wish you had been in charge of forecasting for that event or writing about it.
Energy - Utility
Job Title: Applied Meteorologist, Data Science
Company: E Source
Location: Boulder, CO
Work-Location: Remote
Pay: $90,000 - $145,000/year
Hours: Weekdays
Benefits: 100% paid for medical
Qualifications:
Degree: MS in atmospheric science, meteorology, engineering, mathematics, statistics, or similar field of study, plus one year of applied experience or PhD with applied analysis in the aforementioned field of study.
Years: Minimum of 3 years of experience conducting data science projects using spatial-temporal weather datasets in industry or applied research, including analytical design, managing schedules, and communicating results to stakeholders.
Skills:
-
Experience fitting and assessing predictive models leveraging numerical weather forecasts in Python.
-
Experience conducting all phases of analysis, including data compilation, EDA, feature engineering, and generating deliverables
-
Experience with numerical prediction models such as GFS, ECMWF, and HRRR, along with the ability to use the AWS cloud computing infrastructure.
Who Should Apply?
Reposting this from last week.
Because this is a remote job, the company will likely receive hundreds of applications. For this role and future jobs, you need to stand out to show that your data science skills in meteorology are better than most people. This means you should be able to use weather models and Python to create a mock product that this company might deliver to utility customers. You should research the company to find out what they do, research the industry to learn where there is opportunity, and then create an application that solves a problem.
Tag or connect with people at the company to share the problem you solved and let them know you applied for this role. Otherwise, you are just one in a sea of candidates.
International (Every job outside the US)
Internship
Job Title: CMCC Internship
Location: Italy (Multiple locations in Italy)
Work-Location: On-site
Pay: None Given
Hours: None Given
Period of Time: 6-months
Visa: No requirements given
Qualifications:
Degree: You have a bachelor’s degree or are pursuing a bachelor’s degree in the humanities and/or sciences, data science, economics, law, engineering, computer science, physics, mathematics, biotechnology, biological sciences, sustainable development and climate change, environmental science, oceanography, atmospheric and climate sciences, political science, international relations, or similar.
Skills:
-
You have a good knowledge of the English language.
-
You have a good knowledge of the MS Office package and any programming languages ​​(Python, Java);
-
You have good communication and interpersonal skills;
-
You have a natural predisposition for teamwork.
-
You want to get involved, have skills to offer, and a desire to develop new ones;
-
You have a research project to develop.
Who Should Apply?
Borders do not define where your career might go. You are interested in working around research in climate resiliency, renewables, extreme weather, and at a level where you may influence political policy across Europe and potentially beyond.
Commodity Trading
Job Title: Weather Analyst
Company: Cargill
Location: Sao-Paulo, Brazil
Work-Location: On-site
Pay: None Given
Hours: None given, possible early mornings
Benefits: None Given
Visa: No information provided
Qualifications:
Degree: Bachelor’s degree in a related field or equivalent experience
Years: Experience, but no specifics provided
Skills:
-
Proficiency in using relevant scripting language, visualization, and analysis software to build applications and chart pathways to break down weather data into usable forms
-
Proficient in working with and leveraging large data sets
-
Relevant experience with weather analytics
Preferred Skills
-
Exposure to the intricacies of weather versus commodity markets
-
Experience in weather forecasting for South American commodity regions and communicating weather risk to commodity-sensitive stakeholders
-
Working knowledge of applied statistics in atmospheric science, including machine learning/deep learning methods
-
Competence in the Python programming language for data manipulation, analysis, and visualization
Who Should Apply?
Cargill doesn’t hire very frequently for their commodity trading operations, especially for a meteorologist, even though it is the largest private company in the US, and a global leader in agribusiness, which is commodities.
If you want to work for a company where turnover is low, where you get to play a role in the critical global food picture, and you want to learn how trading works, all while living in Brazil, then this is the focus of your job search. Like many roles, they would like you to know about handling large datasets, using statistics, and your scripting skills to help visualize data, so this is something you should find interesting.
Energy - Trading
Job Title: Meteorologist Expert & Climate Analyst
Company: Enercity
Location: Hanover, Germany
Work-Location: Onsite
Pay: None Given
Hours: None given, but likely based on energy markets.
Benefits: None given, but some details on the company website.
Visa: No requirements given
Qualifications:
Degree: Master’s degree or a PhD in meteorology, climate science, energy economics, physics, or a comparable field.
Years: 7-10 years
Skills:
-
Experience in developing modeling, have done energy forecasting, while using models such as the WRF, ICON, and COSMO.
-
Programming proficiency in machine learning, Python, and R.
-
Experience with either electricity, heat generation, grid operations, or energy management.
-
You are characterized by a very high level of analytical thinking, precise and audience-appropriate communication, an independent working style, and a willingness to take responsibility.
Who Should Apply?
You have an energy meteorology background and are senior level. You should also have a strong programming background. Even if you only know what machine learning is, you should know Python or R. Preferably, you will have developed some sort of analytical modeling application with your knowledge of Python and energy, and you can use this to get an interview.
Seasonal Forecasting
Job Title: Seasonal Forecaster
Company: CMCC
Location: Bologna, Italy
Work-Location: Onsite
Pay: 28,000 to 35,000 Euros
Hours: Holidays/Shifts
Benefits: None given
Visa: Will help with this.
Qualifications:
Degree: Degree in Atmospheric Science, Meteorology, or equivalent, Master’s degree preferred.
Years: None Given
Skills:
-
Strong quantitative skills: time-series, statistical modelling, predictive analytics
-
Programming proficiency in bash, Python, R, and others.
-
Experience with ensemble verification metrics and forecast evaluation methods
-
English level C1
Preferred Skills:
-
Proven experience with weather/seasonal forecasts using an ensemble system
-
Programming proficiency in Fortran
-
Experience in AI and ML
Who Should Apply?
You’ve always wanted to work and live in Italy or the EU.
Your background experience or skills are strong in programming languages and climate forecasting, or you’ve always wanted to do more long-range modeling. While you can learn the climate forecasting part, you should come into this with a programming background.
Additional Job Listings to Consider
Senior Meteorological Software Engineer - The Weather Company - Atlanta/Boston
Meteorologist - Protect Minas Institute - Brazil
AgroClimate Meteorologist - Ingemann Data A/S - Nicaragua
Metocean Specialist - ABL - Denmark
Director of Forensic Services - Accuweather - Pennsylvania
Tropical Cyclone Subject Matter Expert - Strand - San Francisco
Meteorologist - Climatempo - Sao Paulo, Brazil
Final Thoughts
There are many opportunities available, but more so if you have an advanced degree and one where you have manipulated large data sets using Python or some sort of scripting language.
When I graduated from college, I was pretty much done with school and had no interest in an advanced degree, so my career has been purely based on a Bachelor of Science. So it is possible.
However, many of the jobs I’ve posted on here and many of the ones I’m seeing more of as of late are heavy on Python and R; they mention buzzwords like AI and ML. Don’t be alarmed or concerned. Anyone can learn the basics of each and use them to get an interview. I’ve definitely received not just interviews, but offers for roles that asked for Python, which I didn’t have, so don’t rule yourself out. You can say you will learn, and that may be enough.
Good Luck!
Responses