Data Scientist x3

What will you do?

Santam Ltd has a vacancy within the Group Underwriting division for a Data Scientist.

What will make you successful in this role?

The role requires a candidate with the ability to leverage knowledge of statistical analysis, machine learning, and data modelling to drive business value by providing insights and recommendations based on data analysis.

Key Accountabilities And Responsibilities Will Include

Involvement in engagement with stakeholders to understand their business challenges and advise on practical analytics solutions
Collaborate with key stakeholders within the data value chain, external and internal, to ensure that the appropriated data sources and data structures are in place for building analytics solutions
Research, develop and implement appropriate statistical / mathematical / machine learning models as needed
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
To generate and maintain actuarial data assets and make these available to the rest of the organization
Develop and maintain outstanding data from the Analytical Base Table and to utilize this to develop predictive models, assist other Business Units in doing diagnostic and descriptive analytics
Ensure automation of data assets delivered timeously
Use advanced analytics techniques to solve business problems in cooperation with business units
Seek out initiatives to enhance Santams capability in the Data Science field
Assist users across the group to make use of the data science workbench

Qualifications And Experience

B. Degree in Quantitative Management (decision sciences) or Computer Science/Statistics/Applied Statistics/Applied Mathematics (Postgraduate preferable)
5-7 years practical experience in an analytical/quantitative environment

Skills

Strong programming skills ( SQL essential, Python and/or R highly desirable, Spark, Java )
Experience with common data science toolkits, such as R, Hadoop, Scala, RapidMiner, Alteryx, SAS, SPSS etc. highly desirable
Experience in Data integration
Machine learning / Artificial Intelligence and Statistical algorithm development essential
Experience with Big Data platforms highly desirable
Experience in Data management and integration such as Ralph-Kimbal dimensional modelling (Star-schema model) or Bill Inmon Snow-flaking model essential
Business acumen: Enterprising & commercial thinking: Keeps aware of corporate markets and the state of competitors, identifies business opportunities, views issues in terms of costs, profits, markets and added value.
Statistical analysis: Data scientists must have a strong foundation in statistical analysis to effectively identify patterns, trends, and relationships within data.
Programming: Proficiency in programming languages such as Python and R is essential for data scientists to analyse data and build predictive models.
Data wrangling: Data scientists must be able to gather, clean, and pre-process data to ensure its accuracy and reliability.
Machine learning: Knowledge of machine learning algorithms and techniques is necessary to build predictive models and make data-driven decisions.
Data visualization: Data scientists should have the ability to create clear and effective visualizations to communicate insights and findings to stakeholders.
Communication
Problem-solving
Creativity
Curiosity
Financial acumen