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Data Science Intern

Allye Energy
London
1 month ago
Applications closed

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Are you a Data Science Statistics or Computer Science student recent graduate or apprentice who has practical handson experience with time series forecasting optimization algorithms and statistical modeling Do you love working with energy data building predictive models and solving optimization problems in your spare time Ideally youve participated in energy forecasting competitions worked on projects related to demand prediction battery optimization or linear programming; you want to demonstrate your analytical skills; and want to work in a fastpaced start up environment.

This is a unique opportunity to join a fastgrowing London based startup that is creating an allnew range of battery storage systems for both commercial and consumer markets. You will be responsible for developing forecasting models for energy demand building optimization algorithms for battery charge/discharge cycles and creating data pipelines to support our realtime energy management systems.

This internship will give you a unique opportunity to join us at the beginning of our journey a business where you can contribute grow and be a success.


Qualifications :

Musthaves

  • Handson experience with time series analysis and forecasting (ARIMA Prophet LSTM)
  • Strong programming skills in Python with experience in pandas NumPy scikitlearn
  • Experience with optimization libraries (PuLP ORTools Gurobi) and linear programming
  • Understanding of statistical concepts and model validation techniques
  • Ability to work proactively with minimal support using a logical approach in an environment with minimal documented processes
  • Must be selfmotivated and an effective team player
  • Eligible to work in the UK

Nicetohaves

  • Experience with energy market data and electricity price forecasting
  • Knowledge of battery degradation modeling and charge optimization algorithms
  • Experience with realtime data processing and streaming analytics
  • Familiarity with cloud platforms (AWS/Azure) and MLOps practices
  • Understanding of reinforcement learning for dynamic optimization
  • Experience with IoT sensor data and anomaly detection
  • Knowledge of power systems and grid operations

This is an exciting role that offers the opportunity to be at the forefront of an emerging industry and make a lasting impact on the future of energy storage.


Additional Information :

Please note that at this time we areunableto provide UK visa sponsorship

Strictly No Agencies


Remote Work :

No


Employment Type :

Intern


Key Skills
Campaigns,Abinitio,AutoCAD 3D,Hardware & Networking,Customer Support,Arabic
Experience:years
Vacancy:1

National AI Awards 2025

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