Talent Pool - Junior Data Scientist

Discovery Health

Junior Data Scientist

The Group Data Science Lab applies predictive analytics, machine learning, big data, and operations research skills to run and to support key projects for the Discovery Group and for the individual Discovery business units, including the health, life, and short-term insurance businesses. We work across operational, clinical, wellness, financial, customer service, sales, and behavioural science areas. We use and create state-of-the-art tools and work with terabytes of structured and unstructured data within a big data environment.

We have a vacancy for a data scientist to work on cutting-edge Natural Language Processing (NLP) and Large Language Model (LLM) projects. The team has been researching, using, training, and engineering systems which leverage NLP and LLMs for years, and we are looking for team members to help expand and accelerate this research and development.

Responsibilities include

Working with huge quantities of unstructured text data from a variety of sources.

Completing reviews of relevant academic literature and industry releases

Working with seniors in the team to own the delivery of projects from inception through to deployment and business adoption.

Prototyping code for data science and ML systems, particularly those using NLP and LLMs, in line with architecture designed with senior data scientists and data engineers.

Evaluating prototypes, models, and deployments robustly to ensure scientific rigour and business value.

Presenting analyses and project updates to both technical and business audiences.

Keeping an open mind and looking for new opportunities for the use of existing datasets and tools, as well as new ones, for novel business applications

Honours or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, Actuarial Science, Statistics, Operations Research, Industrial engineering, Applied Mathematics, or similar quantitative field. A PhD degree would be advantageous. Other qualifications will also be considered if accompanied by relevant experience.

We will consider candidates at all levels of experience.