<div>We're building the global standard for benchmarking and valuing the world's electrification assets - batteries, solar, wind and datacenters.</div>The roleAs a Data Scientist 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.For more info, here's our hiring video: <a href="https://modoenergy.wistia.com/medias/d03b7u4q21">Open here! </a>Responsibilities <ul><li>Sourcing, processing, analyzing, and interpreting large &amp; complex datasets within our growing forecast offering.</li><li>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.).</li><li>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.</li></ul>Qualifications<ul><li>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.).</li><li>Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques.</li><li>Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. </li><li>Proven experience with optimisation using linear programming with a preference for Python-based implementations.</li><li>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.</li><li>Previous experience in energy modeling, with a specific focus on the Australian power systems.</li><li>Excellent technical communication skills, with the ability to explain complex data science concepts to non-technical stakeholders.</li><li>A self-starter attitude, with an eagerness to dive headfirst into problems and pick things up quickly.</li><li>Nice to have: <ul><li>A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline.</li></ul></li></ul>Important Details<ul><li>We are an in-person company that values collaboration and team culture. Everyone works in the office Tuesday through Thursday, with flexibility to work from home or the office on Mondays and Fridays.</li></ul>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 careers@modo.energy.<div>What you can expect from ModoWe 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!</div>

Modo Energy is an innovative software-as-a-service (SaaS) platform specialising in data analytics for renewable energy assets. Founded in 2019 by Quentin Scrimshire and Tim Overton, Modo Energy has swiftly emerged as a trusted authority in the rapidly growing battery energy storage market in the UK. The company&rsquo;s integrated suite of data-backed tools empowers owners and operators of renewable energy assets, particularly grid-scale battery energy storage systems, with the insights needed to navigate the dynamic landscape of the energy market during a period of unprecedented change.

Data Scientist

<div>We're building the global standard for benchmarking and valuing the world's electrification assets - batteries, solar, wind and datacenters.</div>The roleAs a Data Scientist 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.For more info, here's our hiring video: <a href="https://modoenergy.wistia.com/medias/d03b7u4q21">Open here!&nbsp;</a>Responsibilities&nbsp;<ul><li>Sourcing, processing, analyzing, and interpreting large &amp; complex datasets within our growing forecast offering.</li><li>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.).</li><li>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.</li></ul>Qualifications<ul><li>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.).</li><li>Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques.</li><li>Hands-on experience with cloud environments (e.g., AWS) for deploying data science models.&nbsp;</li><li>Proven experience with optimisation using linear programming with a preference for Python-based implementations.</li><li>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.</li><li>Previous experience in energy modeling, with a specific focus on the Australian power systems.</li><li>Excellent technical communication skills, with the ability to explain complex data science concepts to non-technical stakeholders.</li><li>A self-starter attitude, with an eagerness to dive headfirst into problems and pick things up quickly.</li><li>Nice to have:&nbsp;<ul><li>A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline.</li></ul></li></ul>Important Details<ul><li>We are an in-person company that values collaboration and team culture. Everyone works in the office Tuesday through Thursday, with flexibility to work from home or the office on Mondays and Fridays.</li></ul>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 careers@modo.energy.<div>What you can expect from ModoWe 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!</div>

Data Scientist

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Modo Energy

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