Data Scientist

Tokyo, JP

Applications have closed
Octopus Energy logo

Octopus Energy

The UK's most awarded energy supplier. We're doing energy better - for you and the environment.

View all employer listings

Help us make a big green dent in the universe. We're on a mission to drive the global renewable energy revolution, and we need loads more people to help us make our vision a reality.
About OctopusSince 2015, Octopus has been on a mission to bring affordable, green energy to the world. With the help of our in-house developed technology platform, Kraken, we’ve become the 4th largest energy supplier in the UK, opened retailers in 5 other countries, and licensed our software to retail giants including E.ON in the UK and Origin Energy in Australia. We’ve reinvented energy products with smart, data driven tariffs to balance customer demand with renewable generation - and we’re the biggest investor in renewable generation in the UK. Our partnership with Tokyo Gas is bringing the Octopus magic to Japan, and we’re looking for a data scientist to join our Tokyo team.
Data science and analytics has been at the heart of Octopus’ success, driving insight across all facets of the business. We drive understanding of the performance and optimisation of operations teams. Our deep knowledge of the industry and the market allows us to design innovative smart tariffs. We crunch billions of data points to train machine learning models to forecast each customer’s usage. We do it by hiring clever, curious, and self-driven people, enabling them with modern data tools and giving them lots of autonomy.Our data team consists of scientists and analysts in each of our retail businesses, and a global data engineering team to support them.
About the roleIn Japan, we’re at the start of our mission, so you’ll get to work with every team and across the whole data lifecycle. To begin with, your focus will be building out analytics: reports and dashboards (and the data pipelines that feed them) to understand operations, sales and marketing. We’re proud of our analytics platform, and it’s the first time we’re expanding it to a new country, so you’ll help to define best practices for internationalisation. You’ll become a domain expert, supporting management’s questions, and most importantly, making sure the right questions are being asked.As the business grows, you’ll need to forecast customer contact volumes and help the commercial team  design innovative tariffs. As a Japanese speaker, you will become the ambassador in Japan for Octopus’ global data culture.

What you'll do

  • You don’t need prior energy supplier experience (we can teach you that)
  • Passionate about working in energy and contributing to the energy transition
  • High level language skills in English and Japanese
  • Curious and self-driven - as an early data employee, its essential you have the initiative to make decisions yourself, and can find solutions to novel problems without lots of help and support
  • Highly data literate and numerate -  can make sense of lots of data and shape it into a coherent story
  • Learns fast and is enthusiastic about learning new technologies
  • Has an engineering mindset - passionate about building robust tools, and has experience with some of the below technologies:
  • Python
  • Writing queries in SQL
  • Building reports and dashboards in a BI tool (ideally Tableau)
  • Statistical modelling & time series forecasting

Our data stack

  • AWS cloud infrastructure
  • Databricks Delta Lake for data lake and warehouse storage and querying
  • dbt for data modelling and transformations
  • Spark for large data processing
  • Python data ecosystem as main scripting and analytics language
  • Jupyter and Jupyter Hub for notebook analytics and collaboration
  • Airflow for task scheduling
  • Kubernetes for data services and task orchestration
  • Github, Circle CI, Grafana and Prometheus for version control, deployment and monitoring
  • Tableau and Streamlit as data front ends

What you'll love about us

  • Our company culture - we won best company to work for in 2019 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people   
  • Flexible working environment - genuine work life balance here, we are in the top 5 companies in the UK, we treat you as a human, and do our best to make work and life merge smoothly together 
  • Relaxation - we don’t count your holidays here, we work hard, and so we know you need to play hard as well (within reason of course) 
  • Equity Options Scheme - you own your own part of the business, share options in the whole Octopus Energy Group so we all work together towards success 
  • Office culture - have a certain tech requirement? We’ll do our best to get it. Our offices are also stocked with fruit, breakfast, great coffee and soft drinks. Weekly on a Friday we all get together (this happens virtually too) for company updates and drinks - we call it Family Dinner 
  • Your development is important - we support and help with development including internal and external courses, learning, study support etc, all bespoke to you 

If this all sounds like you then we'd love to hear from you.
At Octopus, we're looking for genuinely decent people who are honest and empathetic. Our commitment is to provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your race, gender identity, sexuality, age, family or civil status, disability, religion, or ethnicity.

* Salary range is an estimate based on our salary survey at

Tags: Airflow AWS Databricks Data pipelines Engineering GitHub Jupyter Kubernetes Machine Learning Pipelines Python Spark SQL Tableau

Perks/benefits: Career development Equity Flex hours Startup environment

Region: Asia/Pacific
Country: Japan
Job stats:  12  2  0
Category: Data Science Jobs

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.