Talent Pool

Discovery Limited; Pretoria; On-site; ZAR 600 000 - 900 000; Full time

Job summary

A leading health assurance company in Pretoria is searching for a data scientist to work on Natural Language Processing and Large Language Model projects. The ideal candidate will have strong skills in SQL, Python, and experience in NLP and ML systems. An Honours or Master's degree in a quantitative field is required, with a PhD advantageous. This position offers opportunities for substantial professional growth and the chance to be part of innovative data projects.

Qualifications

• Experience with using and/or developing NLP packages and models.
• Experience with using and/or training LLMs.

Responsibilities

• Working with huge quantities of unstructured text data.
• Prototyping code for data science and ML systems using NLP and LLMs.
• Presenting analyses and project updates to technical and business audiences.

Skills

SQL

Python for data science and machine learning

Version control (Git)

Education

Honours or Master's degree in a quantitative field

Tools

R

TensorFlow

PyTorch

Spark

Dask

Job description

Overview

Discovery HealthJunior Data ScientistAbout DiscoveryDiscovery's core purpose is to enhance and protect people's lives.

It does this through breakthrough product designs that harness incentives to encourage people to make healthier lifestyle choices.

Healthy behaviour leads to lower claims, higher margins, and lower lapses.

These savings are shared with our clients which in turn leads to a healthier society, improved productivity, and a reduced healthcare burden.

One of Discovery's core assets is its large and diverse data, covering health, wellness, driving, investments, and life insurance.

This forms the basis for our shared value model, along with innovation, risk management and operational efficiency improvements.

Discovery's energetic and motivated analytical teams make this happen.

Data Science Lab

About The Data Science LabThe 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.

Position

About The PositionWe 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

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

Personal Attributes

A creative and eager attitude to learning, unearthing valuable insights, and generating value for Discovery clients. Enthusiasm for building systems which solve real problems through data and technology. Ability to balance multiple priorities and step back to see how your work fits into the wider business context. Aligned to Discovery values and core purpose.

Technical Skills

• SQL and working with databases.
• Python for data science and machine learning.
• Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing.
• Version control (Git).

Experience

• Experience with R.
• Experience with using and/or developing NLP packages and models.
• Experience with TensorFlow and/or PyTorch.
• Experience with using and/or training LLMs.
• Experience with Spark and/or Dask.

Education and Experience

• 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.

EMPLOYMENT EQUITYThe Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process.

As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.