Team Lead, Data Scientist, Stanbic IBTC Pension Managers Limited

The Lead Data Scientist is responsible for driving data-informed decision-making and innovation through the development and deployment of advanced analytics machine learning artificial intelligence and data visualization solutions. The role partners with business stakeholders to identify opportunities optimize processes and deliver actionable insights that support strategic objectives and business growth.

Key Responsibilities

• Lead and manage data science and AI projects from conception through implementation and delivery. 
• Develop predictive models machine learning algorithms and advanced analytics solutions to solve business challenges.
• Provide technical leadership coaching and mentorship to Data Scientists and promote best practices across the team. 
• Conduct code reviews to ensure quality performance maintainability and adherence to coding standards. 
• Collaborate with business units and stakeholders to understand requirements and translate them into data-driven solutions. 
• Drive data quality improvement initiatives and support enterprise-wide data governance efforts. 
• Manage team resources workloads schedules and performance development activities.
• Prepare and present analytical findings and recommendations to technical and non-technical audiences.
• Foster a collaborative innovative and high-performance data science culture.

Qualifications :

Type of Qualification: First Degree
Field of Study: Data Science Statistics Mathematics Engineering Computer Science or a related field. 

Certification: Certified Analytics Professional (CAP) Microsoft Certified: Azure Data Scientist Associate Google Data Analytics Certificate or equivalent certifications in Data Science AI or Big Data technologies

Experience Required

The ideal candidate should possess strong expertise in data science statistical modelling machine learning data visualization and programming tools such as Python SQL Power BI and Microsoft Power Platform with hands-on experience in data engineering ETL processes and cloud-based platforms such as Azure AWS or GCP. The candidate must have a proven track record of leading high-performing teams delivering end-to-end analytics and AI solutions providing technical leadership and mentorship driving data governance and quality initiatives and effectively communicating insights and recommendations to senior stakeholders to support business growth operational excellence and digital transformation.

Additional Information :

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information

Technical Competencies:

• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification
• Research & Information Gathering

Remote Work :

No

Employment Type :

Full-time