Overview
Join to apply for the Talent Pool - Senior Data Scientist role at Discovery Limited.
About Discovery
Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.
About Discovery Data Science Lab
The Group DS Lab is growing and positions are available. The lab applies predictive analytics, machine learning, big data and operations research skills, to run and to support key projects for the Group and for the individual Discovery business units. We work across clinical, wellness, financial, sales, operational, people and behavioural theme areas, using modern analytics tools on terabytes of structured and unstructured data within a big data architecture. We are also mandated to find opportunities to use new data sets and in areas not typically accustomed to using data science.
Key Purpose
The Data Science Lab is a highly specialised and expanding team that tackles challenges in the health, life, and short-term insurance businesses, as well as projects that cut across the whole Discovery Group. We are looking for individuals with 2-5 years of experience, for projects related to :
- risk management through behavioural science and intervention (next best action) design
- combining traditional data (e.g., wearable device data, web & app logs, health & life insurance claims) with novel data sources in new ways
- assisting with experimental design for product, rewards, marketing, communications, engagement etc.
- advising partner markets on how to customise and deploy locally built models
They will have the opportunity to work with cutting edge technology and advanced techniques to see their models used in real business applications. The innovative work environment means there are opportunities to shape new projects with a focus on helping insurance customers to lead healthier lives.
Areas of responsibility (may include but not limited to)
Identify and build appropriate models to predict risk, sales and savingsPresent data insights and model findings in a way that provides actionable insights for business stakeholders and senior executivesMining and visualising large structured and unstructured datasets throughout the businesses to inform product design, risk management, customer interaction strategies, etc.Following model implementations through to business adoptionMonitoring model performance and using feedback for improvementImproving processes and data collections where opportunities ariseRunning scientific experiments to evaluate different models in a reproducible wayProduce analytical work that is customer, business and staff focusedPersonal Attributes and Skills
A creative and enthusiastic attitude to unearthing valuable insights and generating value for Discovery clientsAbility to balance multiple priorities and to step back and see how analytics work fits into the wider business contextResults driven, curious and able to work autonomously or within teamsGood time and task management skillsAbility to communicate results of analyses in a clear and effective mannerAligned to Discovery values and core purposeEducation and Experience
Master’s or PhD degree in either Data Science, Actuarial Science, Statistics, Operations Research, Computer Science, Applied Mathematics or Engineering fields.Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writingDemonstrable working experience in an analytics position, where the focus was on building and implementing machine learning models to solve business problemsExperience accessing and analysing data using language / tools / databases such as Python, R, SQL, etc.Experience using Gradient Boosting Machines, Random Forests, Neural Networks or similar algorithms.Good knowledge of Microsoft Office tools.Advantageous
Some experience in working with big disparate sets of data and exposure to big data toolsThe ideal candidate will possess a deep interest in the healthcare industry, particularly in leveraging behavioral science to promote disease management and prevention. Additionally, they should demonstrate a strong understanding of strategic risk management principles and their application across the healthcare value chain.Employment Equity
The 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.
Seniority level
AssociateEmployment type
Full-timeJob function
Engineering and Information Technology#J-18808-Ljbffr