Hybrid Quant Dev Intern: Energy Forecasting

Low Carbon Contracts Company; Greater London; On-site; GBP 27,000 - 33,000; Part time

Benefits offered by this job

Annual bonus up to 10%

25 days annual leave

Pension contributions

Study support

Employee referral scheme

Flexible work patterns

Job summary

Low Carbon Contracts Company in Leeds is offering a Quantitative Development Intern role in the Analytics team. It is a fixed-term internship for 6-12 months, requiring 37.5 hours per week and paying £30,000 per year.

The position reports to the Quantitative Development Manager and requires presence in the office two days per week. The ideal candidate will have a 2:1 STEM degree, strong modelling/forecasting skills, and experience with Python.

Qualifications

• 2:1 undergraduate degree in STEM subjects.
• Experience in modelling, forecasting and analysis of complex real life systems.
• Ability to convey complex technical concepts to those with little or no modelling background in a meaningful, relevant and engaging matter.
• Experience with Python and Object Oriented Programming.
• Desirable: Understanding of the energy markets.
• Working knowledge of machine learning tools and statistical techniques.
• Experience with Git and cloud computing.

Responsibilities

• Explore and clean datasets required for modelling purposes.
• Design and build short and long-term energy models used in forecasting, analysis and for generating insights that support various strategic initiatives.
• Testing and deploying updates to the models.
• Producing high quality technical documentation.
• Identifying and streamlining inefficient processes.
• Supporting other teams with modelling, analysis and automation.

Skills

Modelling & forecasting

Communication of complex concepts

Python (OO)

Git

Cloud computing

Education

2:1 STEM degree

Tools

Git

Cloud computing

Job description

Low Carbon Contracts Company in Leeds is offering a Quantitative Development Intern role in the Analytics team. It is a fixed-term internship for 6-12 months, requiring 37.5 hours per week and paying £30,000 per year.

The position reports to the Quantitative Development Manager and requires presence in the office two days per week. The ideal candidate will have a 2:1 STEM degree, strong modelling/forecasting skills, and experience with Python.