Junior Data Scientist Opportunity at Old Mutual

About the Job

Embark on a dynamic career as a Junior Data Scientist at Old Mutual, a cornerstone of South Africa's financial services industry. This pivotal role offers an exceptional opportunity for a budding professional to delve into the intricate world of data analytics, contributing directly to the strategic evolution of products, services, and operational processes. As a Junior Data Scientist, you will be instrumental in transforming raw data into actionable insights, utilizing advanced statistical methods, artificial intelligence, and machine learning techniques. You will navigate vast, complex datasets, applying robust analytical processes from data cleaning and interpretation to forecasting and trend analysis. This position is designed for individuals passionate about uncovering hidden patterns and driving data-informed decisions that enhance business performance and customer experience within a leading financial institution. You will play a crucial role in supporting various business units by providing data-driven recommendations that inform critical business strategies and improve overall efficiency.

Key Responsibilities

• Advanced and Predictive Analytics: Build machine learning models and run advanced and predictive analyses, performing model assessments, validation, and enhancement activities using predictive analytics' software tools and functionalities.
• Data Exploration: Work independently to collate and analyse data using predetermined tools, methods, and formats to create standard insights. Perform data manipulation and descriptive / exploratory data analysis.
• Data and Analytics Strategy: Make recommendations to improve data and analytics models and data science artifacts, contributing to the continuous improvement and refinement of data and analytics strategy.
• Performance Improvement through Business Intelligence: Support building of models that use machine learning algorithms by applying standard statistical analysis or data preparation methods.
• Data Architecture: Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.
• Data Collection and Analysis: Collate and analyze data using pre-set tools, methods and formats. Involves working independently. Extract data from various internal and external data sources.
• Business Requirements Identification: Support collection of business requirements using a variety of methods, such as interviews, document analysis, and workflow analysis, to express requirements clearly and succinctly.
• Insights and Reporting: Contribute to the preparation of various data and analytics reports. Build dashboards and reports to help answer business needs. Generate business insights via data analysis.
• Personal Capability Building: Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.

Why Join the Company

Joining Old Mutual means becoming part of a legacy of financial excellence and innovation. As a leading financial services provider in South Africa, Old Mutual offers a stimulating and supportive environment where talent is nurtured, and career growth is actively encouraged. You will benefit from working alongside seasoned professionals, gaining invaluable experience in a sector that is constantly evolving. The company is committed to fostering a diverse and inclusive culture, providing ample opportunities for continuous learning, professional development, and internal mobility. Old Mutual's dedication to its employees extends to competitive benefits and a strong emphasis on work-life balance, ensuring that you can thrive both professionally and personally while making a tangible impact on the lives of millions. This role provides a solid foundation for a long-term career in data science within the financial sector.

How to Apply

Please apply using the Quick Apply button on this page.

Salary is estimated based on market research.

• NQF Level 7 - Degree, Advanced Diploma or Postgraduate Certificate or equivalent.
• Proficiency in Action Planning and Business Requirements Analysis.
• Strong Computer Literacy and Data Compilation skills.
• Experience with Data Controls, Data Management, and Executing Plans.
• Understanding of IT Architecture and IT Network Security.
• Knowledge of Policies & Procedures relevant to data science.
• Demonstrated competencies in being Action Oriented, Collaborative, and Cultivating Innovation.
• A strong Customer Focus, ability to Drive Results, and Ensure Accountability.
• Capability to Manage Ambiguity and Complexity.