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Data Analyst Internship

2 months ago


Ruislip, Greater London, United Kingdom Allye Energy Full time
About Allye Energy

We are a pioneering company in the energy storage industry, dedicated to providing innovative solutions for a sustainable future.

Job Description

Role Summary

We are seeking a highly motivated and talented Data Science Intern to join our multidisciplinary team. As a Data Science Intern, you will play a crucial role in developing and implementing models that enhance our understanding of battery performance, enable optimization of our assets, and contribute to the development of our internal modelling tools.

Key Responsibilities

  • Participate in the development of machine learning, artificial intelligence, and battery degradation models.
  • Assist in optimizing battery assets through time series forecasting and optimization.
  • Contribute to the development of internal tools for modelling the economics of our energy assets.
  • Engage in the entire lifecycle of data science projects, from data preparation to model development and validation.
  • Collaborate with team members to understand project requirements and deliver solutions that align with business objectives.

Requirements

  • At least 2nd year of a degree in Data Science, Computer Science, Engineering, or a related field.
  • Strong proficiency in Python.
  • Familiarity with unit and integration testing.
  • Good object-oriented design principles.
  • Knowledge of version control such as git and GitHub.
  • Knowledge in time series forecasting.
  • Basic understanding of data science methodologies and principles.
  • Experience with visualization tools for data analysis (e.g., Matplotlib, Seaborn, Plotly).
  • Must be self-motivated and an effective team player.
  • Eligible to work in the UK.

Nice-to-Haves

  • Experience with databases (SQL, NoSQL).
  • Experience working on existing codebases.
  • Experience with Spark for big data processing.
  • Skills in data engineering for creating and managing data pipelines.
  • Familiarity with MLOps, including model deployment and maintenance in cloud environments.

About You

We believe that diversity drives innovation and are committed to creating an inclusive and diverse work environment. We value and celebrate individual differences and believe that a diverse workforce contributes to our success.