Senior Manager: Data Science

2 days ago

Centurion, South Africa Praesignis (Pty) Ltd Full time

**CORE DESCRIPTION**

As a Senior Data Scientist your primary role will be to lead and participate in data science projects, solving a variety of use cases across the Group and for its customers. You will be an expert in employing and evolving data science tools and frameworks across on-prem and cloud big data infrastructure to assist the Insights team to unlock measurable value for the group. Together with a team of Lead and Senior Data Scientists you will develop the machine learning and deep learning competencies and will train and develop Junior Data Science resources.

**JOB RESPONSIBILITIES**:

- Engage with stakeholders to lead and support data science project delivery solving business problems or developing solutions
- Using mathematical, statistical and machine learning techniques to solve problems
- Programming solutions using data science programming languages (Python, R etc.)
- Executing end to end exploratory data analysis and product development processes
- Implementing visualization (Tableau, PowerBI), advanced analytics and data science solutions for customers
- Lead and develop a team of junior data scientists
- Strong support to the lead data scientist
- Contribute to our agile way of work and our innovation culture
**Operational**:

- Work with the data management team to retrieve data from source
- Guide most appropriate data science tools and/or approaches for specific projects
- Contribute to our ML/DL codebase through reusable modules
- Developing & peer reviewing code
- Building best practice standards
**CORE COMPETENCIES**
**FUNCTIONAL KNOWLEDGE**
Statistical foundations; Mathematical foundations; Data science and analytics frameworks; Programming experience (Python, R, Git, Linux);
Cloud computing experience (GCP preferable); Big Data (preferably Hadoop, PySpark)

**FUNCTIONAL SKILLS**
Problem Solving; Coding capability (specifically Python, R, Git, Linux); Cloud computing (GCP preferable); Machine learning; Research &
development ability; Communication (written and verbal); Stakeholder management

**QUALIFICATIONS**
Post graduate degree in Computer Science, Mathematics, Statistics, Engineering or a related field (NQF level 8); OR a qualified Actuary with data science
experience. A Masters degree (NQF level 9) will be an advantage.

**EXPERIENCE**
- 5-7 years relevant experience, at least 2 years of which must have been in a data science environment.
- 2 years of the above experience must have been in a management or supervisory role.
- Experience in ICT will be an advantage.
**SPECIAL REQUIREMENTS**
- Strong statistical & mathematical foundations.

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