Senior Data Scientist (Onsite)- Elyos Energy 9 Appold Street, London EC2A £80,000 – £100,000 a year

Full time @Data Science Career in Data Science , in Data Scientist
  • Apply Before : March 15, 2024
  • Salary: £80.00 - £100.00 / Annual
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Job Detail

  • Job ID 21825
  • Sector Data Science

Job Description


Pulled from the full job description
  • Company pension
  • Private medical insurance

Our mission:

We are on a mission to address climate change by decarbonising commercial buildings


Your impact:

At Elyos Energy, we live and breathe data. As a Senior Data Scientist, you will play a pivotal role in defining our data-driven product development culture. You will be part of our tech team collaborating closely with engineering and product to build our brilliant energy platform. Your work will directly impact our ability to deliver tailored solutions to our clients, release new functionality, optimise energy consumption patterns and contribute to a more sustainable energy system. We love passionate people that want to help us get a step closer to a net-zero world.


What will you do?

  • Collect, sanitise, and store large-scale energy consumption data from diverse sources to ensure its quality and relevance for our models using data pipelines and ELTs
  • Design and implement innovative features that capture the complex relationships between energy consumption, external factors (weather, occupancy, etc.), and grid conditions, improving the accuracy of predictive models.
  • Develop and train supervised and unsupervised prediction models for understanding energy consumption patterns, participating in demand response opportunities, and forecasting energy market trends
  • Continuously refine and optimise existing models for improved accuracy, interpretability, and computational efficiency.
  • Anomaly Detection: Create mechanisms for real-time anomaly detection and alerting to proactively address unusual energy consumption patterns or system malfunctions.
  • Collaborate with domain experts and engineers to integrate machine learning models and insights into actionable solutions for energy management
  • Implement rigorous validation and testing protocols to ensure the reliability and robustness of our models in real-world scenarios.
  • Be the expert: Keep up-to-date with the latest advancements in machine learning, energy management, and demand response technologies to continually enhance the product’s capabilities and educate technical and non-technical stakeholders.


Required experience

  • Master’s or PhD in Math, Statistics or relevant field with a strong focus on machine learning, statistical analysis and data manipulation
  • Proven experience in developing, maintaining and deploying predictive and forecasting machine learning models
  • Strong background in data clustering (correlation and hierarchical algorithms)
  • Expert in SQL and Python, DBT and especially in standard data science libraries and frameworks such as pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, etc.
  • Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns
  • Experience with Postgresql, Google Cloud Platform and BigQuery
  • Excellent problem-solving skills and the ability to think creatively to develop innovative solutions.
  • Ability to self-start and work independently in a fast paced environment environment as well as navigate (and bring structure to) ambiguity, bringing a problem from 0 to 1.
  • Ability to manage and prioritise multiple projects and change direction quickly
  • Ability to gather strategic insights beyond the paradigm of statistical significance testing


Desirable experience

  • Familiarity with energy data, smart grids, demand response, or related fields is a plus.
  • Experience with Airflow and/or Airbyte
  • 5+ years of experience as a data scientist, leading a small team
  • Expertise in Python (incl asyncio) as a software engineer
  • Have previous experience in early stage startups
  • Experience with GCP, Kubernetes and PubSub



  • Competitive salary (£80,000 – £100,000) plus equity
  • 25 days annual leave + bank holidays
  • Private healthcare
  • Standard pension contributions
  • Annual learning & development budget


This role is onsite and based in London, United Kingdom. Our office is located close to Liverpool St. At this stage we are not able to provide visa sponsorship.

Elyos Energy is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Elyos Energy is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. Please contact Elyos Energy for additional information or to request accommodations

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