Graduate Data Scientist (4 months FTC contract with a potential for a permanent position)
London (hybrid)
We have an exciting opportunity for a Graduate Data Scientist to join one of our newest teams at Brady working on a cloud-native SaaS solution for the energy and power trading markets. As renewables continue to increase and disrupt the energy mix, Brady is developing a new flagship software product that enables short-term power trading throughout the UK, EU, and further afield.
At Brady Technologies, we are at the forefront of the energy transition, helping market participants navigate new challenges and opportunities with confidence. Our advanced software solutions bring clarity to complex problems and processes, enabling customers to enhance their trading and operations and meet tomorrow’s energy needs.
This is an exciting opportunity for a recent graduate with strong analytical and problem-solving skills to gain hands-on experience in data science, machine learning, and algorithmic trading. The successful candidate will work closely with the Lead Data Scientist, contributing to the development of trading algorithms, machine learning models, and interactive data visualizations. This role offers the potential to transition into a full-time permanent Data Scientist position based on performance.
Key Accountabilities:
* Assist in the exploration and development of energy trading algorithms for profitable trading strategies.
* Implement and refine machine learning models to enhance market predictions and decision-making.
* Work with large datasets, applying data transformation and feature engineering techniques.
* Build and maintain interactive data visualizations using tools such as Shiny to present insights effectively.
* Collaborate with the Lead Data Scientist and agile development team to integrate models into the trading platform.
* Participate in agile sprints, contributing to backlog grooming, sprint planning, and retrospectives.
* Conduct research and stay updated on industry trends, emerging technologies, and best practices in data science and trading strategies.
* Write clean, efficient, and well-documented Python code for data analysis and modeling.
Key Skills/Experience:
* Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
* Strong programming skills in Python and familiarity with data science libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.
* Advanced understanding of machine learning concepts and statistical analysis.
* Strong problem-solving skills and the ability to work with complex datasets.
* Experience with data visualization tools (e.g., Plotly, Matplotlib, Seaborn). Shiny experience is an advantage.
* Familiarity with cloud computing platforms (e.g., Azure, AWS) is an advantage.
* Passion for algorithmic trading, financial markets, or the energy sector is desirable.
* Excellent communication skills and ability to work in a collaborative team environment.
* Eagerness to learn and grow in a fast-paced, high-intensity, innovative environment.
What Brady offers:
* Great compensation + 8% pension + 5% bonus + private health insurance and more!
* 23 days holiday + bank holiday, increasing by one day per year of service up to 28 days + bank holidays
* 1/2 day off Christmas Eve & New Years Eve
* Pluralsight licenses for engineering team members
* Flexible working hours
* An opportunity to build a modern technology platform for the power and energy trading markets
* A positive, values-driven culture
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