Old Mutual Life Assurance Company (SA) Ltd
1001-5000 employees
Financial Services
Insurance
Investment Management
About Old Mutual Life Assurance Company (SA) Ltd
Old Mutual Life Assurance Company (SA) Ltd is a leading financial services group in South Africa, providing a broad range of insurance, investment, and savings products. Founded in 1845, the company has a long-standing history of helping individuals and businesses secure their financial futures through life assurance, asset management, and wealth management solutions. Old Mutual is committed to delivering sustainable value to its clients by combining deep market expertise with innovative financial products. The company operates primarily in South Africa and other African markets, focusing on customer-centric services and responsible investing.
4 months ago
Junior Data Scientist
Johannesburg - Remote
Full-time
Entry Level
Junior Data Scientist
đź“‹
Description
- Let's Write Africa's Story Together!
- Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.
- 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.
🎯
Requirements
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 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).
- 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.
- 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.
🏖️
Benefits
- Opportunities for professional growth and development.
- Collaborative and innovative work environment.
- Participation in cutting-edge AI and machine learning projects.
- Engagement with a diverse team committed to African economic growth.