Head of Data Science

7 months ago


Bellville, South Africa Sanlam Full time

**What will you do?**- Key Responsibilities- Strategic Leadership: Define and implement the data science strategy, with a strong emphasis on cloud-native modeling environments and MLOps, in alignment with Sanlam's business goals.
- Innovation and Development: Spearhead the development of advanced analytics models in cloud-native environments for predictive analysis, client segmentation, and financial product optimization. Leverage MLOps practices to streamline model development, deployment, and monitoring.
- Stakeholder Engagement: Collaborate with business leaders and IT departments to ensure seamless integration of data science solutions. Communicate complex data-driven insights to non-technical stakeholders.
- Data Governance and Management: Ensure data integrity, security, and compliance within cloud environments and in adherence to data governance and MLOps practices.
- Team Management and Development: Build a team skilled in cloud technologies, machine learning, and MLOps. Promote continuous learning and professional growth.

**What will make you successful in this role?**
- Requirements- Master's in Advanced Analytics, Data Science, Computer Science, Statistics, or a related field.
- A minimum of 10 years of experience in data science, with at least 5 years in a leadership role, preferably within the financial services industry.
- Demonstrated expertise in developing and deploying models in cloud-native environments, with a thorough understanding of cloud services (AWS, Azure, Google Cloud).
- Strong background in MLOps practices, including continuous integration/continuous deployment (CI/CD) pipelines, containerization (Docker, Kubernetes), and model monitoring and management.
- Proficiency in data science tools and programming languages such as Python, R, SQL, and big data technologies.
- Familiarity with data governance, data ethics, and regulatory compliance.
- Exceptional communication and interpersonal skills, with the ability to articulate complex data concepts to non-technical stakeholders.
- Personal Attributes- Strategic thinker with a problem-solving mindset.
- Innovative, with a strong focus on leveraging cloud technologies and MLOps to stay ahead of industry trends.
- Leadership qualities that inspire and motivate a team towards embracing cloud-native solutions and MLOps methodologies.
- Excellent organizational and project management skills.

**Turnaround time**Our commitment to transformation


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