Santam Ltd has openings within the Group Underwriting division for three Data Scientists.
What Will Make You Successful in This Role?
To excel in this role, you must possess the capability to utilize statistical analysis, machine learning, and data modeling to drive business value through insights and recommendations derived from data analysis.
Key Accountabilities and Responsibilities:
- Engage with stakeholders to comprehend their business challenges and propose practical analytics solutions.
- Collaborate with key stakeholders across the data value chain to ensure appropriate data sources and structures for building analytics solutions.
- Research, develop, and implement suitable statistical/mathematical/machine learning models as required.
- Stay updated with the latest technology trends.
- Communicate findings and ideas to key decision-makers.
- Generate and maintain actuarial data assets for the organization’s use.
- Develop and maintain high-quality data from the Analytical Base Table to create predictive models and support other Business Units in diagnostic and descriptive analytics.
- Ensure timely delivery of automated data assets.
- Utilize advanced analytics techniques to address business challenges in collaboration with business units.
- Identify initiatives to enhance Santam’s capability in the Data Science field.
- Assist users across the group in utilizing the data science workbench effectively.
Qualifications and Experience:
- Bachelor’s Degree in Quantitative Management (decision sciences) or Computer Science/Statistics/Applied Statistics/Applied Mathematics (Postgraduate degree preferable).
- 5-7 years of 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.
- Essential knowledge of machine learning/artificial intelligence and statistical algorithm development.
- Desirable experience with Big Data platforms.
- Essential experience in data management and integration such as Ralph-Kimbal dimensional modeling (Star-schema model) or Bill Inmon Snow-flaking model.
- Business acumen, statistical analysis, programming, data wrangling, machine learning, data visualization, communication, problem-solving, creativity, curiosity, and financial acumen.
Competencies:
- Client Focus
- Collaboration
- Innovation Cultivation
- Results Orientation
- Flexibility and Adaptability
- IT Data Analysis
- Data Collection
- Advanced Analytics
- Adoption of New Technologies and Methodologies
- Stakeholder Management
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