Actuary Data Scientist - Sandton, South Africa - Discovery Ltd.

Discovery Ltd.

Verified Company

Sandton, South Africa

1 week ago

Posted by:

Thabo Mthembu

beBee Recruiter

Description

Business Unit:
Discovery Life
Function:Data Sciences
Date:12 Mar 2024- 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 fastpaced and dynamic environment enables smart, selfdriven 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 fastpaced 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.
Advanced Analytics function and opportunities available
The Individual Life Analytics team is responsible for strategic and impactful projects for the business. The focus of the team is to support development and implementation of data science projects in the Advanced Analytics (Data Science) function of the team. The available roles involve 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 are 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

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

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

Education and Experience (Manager role)

Essential:

Matric with Mathematics
Honours Degree or equivalent in Actuarial Science
Demonstrable knowledge and experience in statistical modelling, data mining, machine learning or optimisation
Qualified / nearqualified actuary with recognised actuarial professional body, e.g. ASSA or IFoA
At least 2 years related work experience

Advantageous:

35 years of working experience as an Actuarial Analyst / Actuary in the Life Insurance industry
Master's Degree in Data Science
35 years of working experience as a Data Scientist in the Life Insurance / Financial Services Industry
Experience in a big data environment such as Cloudera or similar

Knowledge:

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

Education and Experience (Divisional Manager role)

Essential:

Matric with Mathematics
Honours Degree or equivalent in Actuarial Science
Demonstrable knowledge and experience in statistical modelling, data mining, machine learning or optimisation
Qualified with recognised actuarial professional body, e.g. ASSA or IFoA
At least 5 years related work experience

Advantageous:

5 or more years of working experience as an Actuarial Analyst / Actuary in the Life Insurance industry
Master's Degree in Data Science
5 or more years of working experience as a Data Scientist in the Life Insurance / Financial Services Industry
Experience in a big data environment such as Cloudera or similar
Experience in managing a data science or related team
Experience in managing and delivering on data science or related projects

Knowledge:

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