Junior Data Scientist at Old Mutual South Africa

Job Description

• The Junior Data Scientist is part of a team that is responsible for analyzing, processing, and modeling data, then interpreting the results to create actionable plans that help solve business challenges and drive business results.
• This role will involve developing and deploying AI and machine learning models, working with large language models (LLMs), and putting analytical products into production.

Key Responsibilities

Data Analysis & Interpretation:

• Analyze large and complex data sets to identify trends, patterns, and insights that drive business decisions.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.

Predictive Modeling:

• Design, build, and validate predictive models to support the Next Best Action engine and goal recommender.
• Continuously refine models based on feedback and new data to ensure accuracy and relevance.

Collaboration:

• Work closely with cross-functional teams, including product owners, data engineers, and business stakeholders, to understand data needs and deliver actionable insights.
• Provide mentorship and guidance to junior analysts within the team.

Innovation & Improvement:

• Stay up-to-date with the latest trends and technologies in data analytics and financial services.
• Identify opportunities for process improvements and automation within the analytics workflow.

Customer-Centric Approach:

• Leverage data to enhance customer experiences and engagement through personalized recommendations and insights.
• Contribute to the development of our chatbot to ensure it provides valuable, data-driven financial advice to customers.

Minimum Requirements

Education:

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Experience:

• 3+ years of experience in data analysis, preferably within the financial services industry.
• Proven experience in building and deploying predictive models.
• Experience working with AWS and Python
• Working knowledge of API Development
• Strong knowledge of data analytics tools and programming languages such as SQL, Python, R, and relevant data visualization tools (e.g., Tableau, Power BI).

Skills:

• Excellent analytical and problem-solving skills with a keen eye for detail.
• Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.

Personal Attributes:

• Self-motivated, proactive, and eager to learn and grow.
• Customer-focused with a passion for improving financial wellness through data-driven insights.
• Strong organizational skills and the ability to manage multiple projects simultaneously.

Skills

• Action Planning, Business Requirements Analysis, Computer Literacy, Data Compilation, Data Controls, Data Management, Executing Plans, IT Architecture, IT Network Security, Policies & Procedures

Competencies

• Action Oriented
• Collaborates
• Cultivates Innovation
• Customer Focus
• Drives Results
• Ensures Accountability
• Manages Ambiguity
• Manages Complexity

Education

• NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date

• 09 December 2025