Trainee Data Scientist (Fixed Term)

Old Mutual; Wes-Kaap; On-site; ZAR 200,000 - 300,000; Full time

Job summary

A leading financial services firm in South Africa is seeking a Trainee Data Scientist. The position involves designing data processes, maintaining data pipelines, and supporting the business in solving data challenges. Candidates should be pursuing a degree in Information Systems or related fields, with knowledge of Python and cloud solutions. This role offers valuable experience and is a great opportunity to kickstart a career in data science.

Qualifications

• Matric required.
• Knowledge of data warehouse architectures and reporting tools.
• Experience with Python or any similar functional language.
• Experience with AWS cloud solutions including APIs.
• Knowledge of software engineering and data management best practices.

Responsibilities

• Assist in designing and implementing data processes.
• Maintain data pipelines and engineer data formats for analytics.
• Work with stakeholders to understand data requirements.
• Support operational environment with data services.
• Build dashboards to track key metrics.

Skills

Action Planning

Application Development

Data Management

Problem-solving skills

Programming

Education

Currently completing 3rd or 4th year tertiary studies in Bcom, BSC or BBusSci

Bachelor's Degree

Tools

Python

Apache Spark

MongoDB

SSIS

SAP ETL Framework

Job 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

Old Mutual is looking for a Trainee Data Scientist who will assist in designing and implementing scalable and robust data tools supporting the MIS capability. This a fixed term contract opportunity. The incumbent is individually accountable for achieving results through their own efforts with support, coaching and direct supervision. This is a fixed term contract opportunity.

• Assist in designing and implementing scalable and robust processes for ingesting and transforming datasets.

• Assist in the design and implementation of data pipelines from a multitude of sources and support the maintenance thereof.

• Ingest large, complex data sets that meet functional and non-functional requirements.

• Enable the business to solve the problem of working with large volumes of data in diverse formats, and in doing so, enable innovative solutions.

• Build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data.

• Supports the organisation’s cloud strategy and alignment to data architecture and governance.

• Engineer data in the appropriate formats for downstream customers, risk and product analytics or enterprise applications.

• Assist in identifying, designing, and implementing robust process improvement activities to drive efficiency and automation for greater scalability. This includes looking at new solutions and new ways of working and being on the forefront of emerging technologies.

• Work with various stakeholders across the organisation to understand data requirements and apply technical knowledge of data management to solve key business problems.

• Provide support in the operational environment with all relevant support teams for data services.

• Create and maintain functional requirements and system specifications in support of data architecture and detailed design specifications for current and future designs.

• Support test and deployment of new services and features.

• Build Dashboards to track key matrices.

• Conduct Ad Hoc Analysis when requested.

ROLE & QUALIFICATIONS REQUIREMENTS

• Matric

• Currently completing 3rd or 4th year tertiary studies in Bcom, BSC or BBusSci in Information Systems, Computer Science, or Information Technology.

• Knowledge of data warehouse technical architectures, ETL/ELT, and reporting/analytics tools including , but not limited to , any of the following combinations (1) SSIS and SSRS, (2) SAS ETL Framework, (3) SAP ETL Framework, (4) MongoDB ETL deployments, (5) Apache Spark and Apache Hive deployments will be beneficial.

• DBA ability and knowledge across at least 2 platforms (example: TSQL, SAS, PSQL, IBM VSAM and DB2 etc.) will also be beneficial.

• Some experience with the Python programming language or any other similar functional language.

• Some experience with designing and implementing Cloud(AWS) solutions including use of APIs available.

• Some experience with Dev/OPS architecture, implementation and operation would be advantageous.

• Knowledge of Engineering and Operational Excellence using standard methodologies.Best practices in software engineering, data management, data storage, data computing and distributed systems to solve business problems with data.

• Good problem-solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution

• Good programming, performance tuning and troubleshooting skills, using the latest popular programming languages such as python, scala, java and suite of Microsoft languages C# and F# preferable.

Skills

Action Planning, Application Development, Business Requirements Analysis, Computer Literacy, Data Compilation, Data Controls, Data Management, Data Modeling, Executing Plans, Gaps Analysis, IT Network Security, Management Reporting, Market Analysis, Policies & Procedures, User Requirements Documentation

Competencies

Action Oriented Collaborates Cultivates Innovation Customer Focus Drives Engagement Drives Results Manages Ambiguity Manages Complexity

Education

Bachelors Degree (B) (Required)

Closing Date

22 October 2025 , 23:59

The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.

The Old Mutual Story!