Manager : Data Science

Six Sense Consulting; Centurion; On-site; ZAR 800 000 - 1 200 000; Full time

Job summary

A well-established consulting firm is looking for a Manager in Data Science to lead analytics and data management initiatives. The ideal candidate will have a Master’s degree and extensive experience in data science, machine learning, and statistical analysis. This role requires proficiency in various data technologies and a solid understanding of data privacy regulations.

Qualifications

• 7-10 years of experience in Data Science or related fields.
• Knowledge of Actuarial Software and programming tools is advantageous.
• Familiarity with data privacy regulations (GDPR, POPIA).

Skills

Machine Learning

Data Management

Predictive Analytics

Statistical Analysis

Data Visualization

Programming

Education

Master’s degree in Data Science or related field

Tools

SQL

PowerBI

Python

Tableau

SAS

Job description

A well-established business is seeking to appoint a Manager : Data Science.

Position Info:

Minimum Education and Experience:

1. Master’s degree or higher in Data Science, Actuarial Science, Statistics, Computer Science, Mathematics, or a related field. Actuary (AMASSA / FASSA), Statistician or Data Scientist credentials are advantageous but not necessary.
2. 7-10 years of experience in Actuarial Science, Data Science, Machine Learning, Analytics, Mathematical Statistics, Computer Science, or Business Intelligence within data management and analytics (e.g., actuarial, statistical).
3. Knowledge of Actuarial Software (e.g., Prophet, Moses, Basys) or programming/database tools (e.g., SQL, PowerBI, QlikView, SAS, R, Python, Tableau).
4. Experience with Machine Learning or Artificial Intelligence Governance.
5. Proficiency in Microsoft Office Suite.
6. Experience with Predictive Analytics, Pricing Methodologies, and Machine Learning.
7. Understanding of Statistical/Actuarial models and Analytical Methods.
8. Database management and querying skills.
9. Familiarity with data privacy regulations (e.g., GDPR, POPIA, AML).
10. Proficiency in data technologies and tools (e.g., data lakes, data warehouses, data visualization, machine learning).
11. Knowledge of Actuarial Methodologies, principles, regulations, and legislation related to actuarial policies, models, and processes.
12. Understanding of relevant legislation for insurance companies such as the Insurance Act of 2017, Prudential Standards, and IFRS 17.
13. Ability to interpret Financial Statements, Accounting Ratios, and Risk Metrics.

Please note: If you do not receive a response within 14 days of submitting your application, it indicates that your application was unsuccessful.

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