Discovery Ltd.

Actuary (Data Scientist)

Job description

Business Unit: Discovery Life
Function: Actuarial Sciences
Date: 23-Nov-2021
Discovery Life

Data Scientist | Actuary
Actuarial Valuations and Analytics

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 Life
Discovery Life is an ever growing fast-paced and dynamic environment that provides innovative risk assurance to individual clients. This environment thrives on customer engagement and customer experience as well as mutually beneficial relationships with our brokers and other stakeholders. It is important for our employees to provide a world class service to our internal and external clients, thereby ensuring long and sustainable relationships.

Key Purpose
The Individual Life Analytics team is responsible for strategic and impactful projects for the business. The focus of this role will be to support development and implementation of data science projects in the Advanced Analytics (Data Science) function of the team. The role involves exposure to a wide range of business areas such as underwriting, claims, legal and other operations, as well as the wider Discovery Group.

Areas of responsibility may include but not limited to

  • Mining large structured and unstructured datasets for data exploration to find new insights
  • Perform data investigations to inform operational efficiency and interaction strategies
  • Transform data into meaningful model inputs and data pipelines
  • Develop and refine predictive models such as fraud, underwriting and customer behavioural models
  • Support model implementation and monitoring of model performance
  • Further develop existing models and research new techniques to fully utilise the rich Discovery data universe
  • Participate in the wider Discovery Data Science community.

Education and Experience

  • Matric with Mathematics
  • Honours Degree in either Actuarial Science, Data Science, Mathematical Statistics, Operations Research or Applied Mathematics with some experience in data science, computer science or regularly working with big structured / unstructured sets of data OR
  • Honours Degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining, machine learning or optimisation
  • At least 2 years of work related experience

  • 3-5 years of working experience as an Actuary in the Life Insurance industry
  • Master's Degree in Computer Science / Software Engineering / Data Science / Statistics / Operations Research / Applied Mathematics
  • 3-5 years of working experience as a Data Scientist in the Life Insurance / Financial Services Industry
  • 3-5 years of working experience in Problem Solving and Data Analysis
  • Qualified / near-qualified actuary with recognised actuarial professional body, e.g. ASSA or IFoA
  • Experience in a big data environment such as Cloudera or similar

  • Intermediate to advanced SQL knowledge
  • Proficient in at least one of R, Python, Spark interpreters or similar

Technical Skills and Knowledge

  • Intermediate to advanced SQL knowledge
  • Proficient in at least one of R, Python, Spark interpreters or similar

Personal Attributes and Skills

Identifying and analysing trends

Adapting and Responding to Change

Results orientated and commercial thinking

Working with People

Deciding and initiating action

Applying Expertise and Technology

Proactivity and accountability

Advanced Proficiency in MS Word, MS Excel and MS Outlook

Analytical Skills

Statistical Skills

Creating innovating solutions to complex problems

Writing and Reporting


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.

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