Join our team as a Data Science Associate, where you'll solve complex problems and develop tools and models to benefit internal and external clients. Collaborate with data science, product development, and technical teams to build and maintain code and documentation. This role offers growth opportunities in business and technical skills, contributing to the usability of our platform and its value proposition.

As a Data Science Associate within our Data Science team, you will be responsible for developing tools using algorithmic, statistical, and machine learning methodologies. You will leverage the latest cloud technology to conduct large-scale analysis, automate tasks, and create models. In collaboration with our product management and data engineering teams, you will work to improve platform usability and engage with our clients.

 

Job Responsibilities:

Develop tools utilizing algorithmic, statistical, and machine learning approaches.Utilise the latest cloud technology and infrastructure to perform analysis at scale.Build and maintain code base and code documentation.Automate repetitive tasks through Python.Write code that can be maintained and extended by other analysts.Develop models using a wide variety of techniques (statistical methods, classic ML, LLMs).Work closely with data science, product management, and data engineering groups.Continuously learn to keep up with industry trends.

 

Required Qualifications, Capabilities, and Skills:

Programming experience in at least one commonly used language for machine learning (e.g., Python, R, MATLAB, Rust).Knowledge of open-source data analysis tools and visualization libraries such as pandas and matplotlib.Working knowledge of machine learning libraries.Familiarity with version control (e.g., git).Functional skills in SQL and other database technologies.Good communication and listening skills.Comfortable in a fast-moving environment with often loosely defined tasks requiring interaction with multiple stakeholders.Attention to detail with strong record-keeping and organizational skills.Passion and motivation for constant learning.

 

Preferred Qualifications, Capabilities, and Skills:

A degree in an analytical discipline (STEM).Experience in academic research and writing (e.g., end of degree project work, dissertation).Basic understanding of financial markets.