Data Scientist

Axle Energy; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative company is seeking a passionate Data Scientist to join their mission to combat climate change through advanced software solutions. This role involves developing algorithms to optimize energy consumption and control various energy assets. The ideal candidate will thrive in a dynamic environment, embracing challenges and contributing to impactful projects. You'll work closely with a small, dedicated team, leveraging your skills in Python and machine learning to create real-world solutions. If you're eager to make a difference in the energy sector and enjoy a collaborative atmosphere, this opportunity is perfect for you.

Benefits

Flexible working hours

Remote work options

Diversity and inclusion initiatives

Collaborative team environment

Qualifications

• Experience in Python and machine learning for data analysis.
• Familiarity with power trading and time-series data analysis.

Responsibilities

• Develop software to optimize energy usage and control assets.
• Collaborate with engineers to implement machine learning solutions.

Skills

Python

Machine Learning

Time-Series Data

Power Trading Knowledge

Education

Bachelor's Degree in Data Science or related field

Tools

Docker

GCP

Streamlit

Figma

Job description

Join to apply for the Data Scientist role at Axle Energy

Join to apply for the Data Scientist role at Axle Energy

We’re hiring data scientists who get into the weeds, ship delightful software, and want to step into the arena in the fight against climate change.

We’re building the software infrastructure for the decarbonised energy system, backed by some of the best investors in the world (TechCrunch).

We make the technology to move energy usage to times when electricity is cheap and green. Our software controls vehicle charging, heating systems, and home batteries. We use machine learning to figure out what energy people will need, and when they'll need it. We control tens of thousands of energy assets, and we’re growing quickly.

Requirements

Read more about what we’re building here.

You Can Expect

• insane amounts of ownership
• hard technical challenges
• that what you build is commercially and environmentally valuable
  
  

In Return, We Ask For

• the courage to build new things fast
• a commitment to real world impact over technical perfection
• a desire to help build and lead an exceptional and tight knit team
• deep-seated motivation to combat climate change
  
  

And It’d Be Nice If You Could Bring

• knowledge of the electricity system, specifically power trading
• comfort speaking to clients (we’re a small team and we all wear many hats)
• familiarity with time-series data
  
  

You Shouldn't Apply If

• uncertainty scares you
• you aren't prepared to try, fail, and try again
• you're looking for a low intensity, low impact role
  
  

Interview process

• Initial interview
• Take-home exercise
• Final interview (in-person)
• Offer, references, and welcome to the team!
  
  

Tech stack

We do everything in Python, because it allows data scientists and engineers to collaborate closely and move quickly. Our data scientists write lots of production code. We ️ Streamlit.

We try a bunch of things in Figma before we build them in code, because it's a fast and cheap way to get feedback.

Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.

️ We deploy on GCP

Benefits

We love the idea of fully remote work but it doesn't… work. For very early stage companies, people learn faster, get on better, and accomplish more when they're spending a decent chunk of time together. We ask that you spend 2-3 days a week in our London office.

We are extremely keen to build a diverse company, and we’re particularly eager to hear from candidates who don't fit the traditional engineering stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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