Energy Modeller London, United Kingdom

Modo Energy Limited; London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

Modo Energy is seeking an Energy Modeller to join its innovative team dedicated to developing models for battery energy storage systems. The ideal candidate will leverage Python and their quantitative skills to analyze energy data and create impactful projections. Join us in our mission towards net-zero while enjoying the benefits of a hybrid work environment and comprehensive compensation package.

Benefits

Private healthcare and dental coverage with Bupa

Pension scheme with employer contribution

25 days of annual leave plus 5 flexible days

Qualifications

• 3 to 5 years experience with Python and scientific computing.
• Previous experience in energy modelling for the GB and/or European power systems.
• Strong quantitative skills with a track record in data analysis.

Responsibilities

• Sourcing, processing, and analyzing large datasets for energy models.
• Developing power market models to enhance product offerings.
• Collaborating with product teams to ensure alignment with user needs.

Skills

Python

Data Analysis

Machine Learning

Optimization Techniques

Cloud Environments

Education

Degree in a quantitative field

Job description

At Modo Energy, we're on a mission to build the information architecture for the energy transition - we want to be the only place to come to for information on the global journey to net zero. Take a look at our platform , where we provide open access to an array of content on the energy transition.

We're a dedicated and passionate team building a category-defining business, working on one of the world's most important priorities. We are looking for individuals who love product-building, want to work with pace at a mission-oriented startup, and will collaborate with us in shaping the culture of a rapidly growing team.

The role

As an Energy Modeller at Modo Energy, you will join an established team that loves to use their knowledge and expertise to build novel, industry-leading models and analyses. We follow our core principles to produce tools used by organizations across the energy transition to finance, build, benchmark, and operate battery energy storage systems. This role sits within our data science team, building trustworthy revenue projections across multiple geographies.

Responsibilities:

• Sourcing, processing, analyzing, and interpreting large & complex datasets within our growing forecast offering.
• Developing our power market and dispatch models to grow and enhance Modo’s product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.).
• Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team.

Qualifications:

• 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.).
• A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline.
• Previous experience in energy modelling, with a specific focus on the GB and/or European power systems.
• Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques.
• Hands-on experience with cloud environments (e.g., AWS) for deploying data science models.
• Proven experience with optimisation using linear programming with a preference for Python-based implementations.
• Proven ability to produce data science models and insights that are directly delivered to external customers, with a track record of handling high-visibility, customer-facing outputs.
• Excellent technical communication skills, with the ability to explain complex data science concepts to non-technical stakeholders.
• A self-starter attitude, with an eagerness to dive headfirst into problems and pick things up quickly.
• Hybrid Work Environment: This role is hybrid, with time split between working from home and our London office, with in-office days from Tuesday through Thursday.
• Compensation & Benefits: Modo Energy offers a competitive salary along with a comprehensive benefits package, including private top-tier healthcare and dental coverage with Bupa, a pension scheme with employer contribution, 25 days of annual leave (excluding bank holidays) and 5 flexible days to be taken on a Monday or Friday.
• Right to Work:Please note that we are only able to consider candidates who already have the legal right to work in the UK, as we are currently unable to offer visa sponsorship.

Modo Energy is an equal-opportunity employer. Our employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate against age, national origin, physical or mental disability, race, religion, pregnancy, sexual orientation, gender identity, veteran status, or any other characteristic protected by federal, state, or local law. If you need assistance or a reasonable accommodation with an application or the interview process please contact us via email at [e-mail].

What you can expect from Modo

We want to attract and retain the best talent at Modo, and we give our people the freedom and opportunity to develop themselves and flourish.

We are committed to building a diverse and inclusive team at Modo, as we believe a variety of backgrounds, skills and interests is what makes our company stronger. If you share our values and our enthusiasm for supporting the transition to greener energy systems, we encourage you to apply. We have a number of positions open which could be for a range of backgrounds and experience levels. Please get in touch if you are interested and you don’t meet all the requirements, or if you exceed them!

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Education

School * Select...

Degree * Select...

Select...

Select...

Start date year *

End date month * Select...

End date year *

LinkedIn Profile *

Are you open to a hybrid work schedule - 3 days in office and 2 days remote? *

Please rate your level of expertise in Python from 1 to 10 with 10 being an expert? *

In 500 characters or less, explain your experience in energy modelling. *