Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist London, United Kingdom

Modo Energy Limited
London
1 month ago
Create job alert

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 .

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. *


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist | London, UK

Data & Analytics Advanced Analytics - Data Scientist Professional London, GB

Data Scientist – CLV & Next Best Action United Kingdom, London

Data scientist

Data Scientist - Contract

Data Scientist | AI Tech Start-Up

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.