Data Scientist

Wesbank; Johannesburg; On-site; ZAR 450,000 - 600,000; Full time

Job summary

Wesbank is seeking a Data Scientist to innovate analytical methodologies, models, and products for business insights. The candidate will collaborate across departments, developing advanced models and ensuring data governance compliance while identifying new commercial opportunities. This role offers networking opportunities in a dynamic environment that fosters curiosity, collaboration, and continuous improvement.

Benefits

Networking and collaboration opportunities

Challenging work environment

Opportunities to innovate

Qualifications

• 2-3+ years of relevant experience in data analytics.
• Proficient in SAS, SQL; knowledge of PowerBi and Excel essential.
• Ability to use Python and Java is advantageous.

Responsibilities

• Develop and implement analytical models to support business decisions.
• Analyze data to identify commercial opportunities.
• Ensure compliance with data governance and privacy legislation.

Skills

Statistical techniques

Machine learning algorithms

Data analysis

Data visualization

Data quality assessment

Education

BSc in Actuarial Science

Honours in Mathematics

Tools

SAS

SQL

PowerBi

Excel

Python

Job description

Time left to apply : End Date : July 7, (4 days left to apply) | Job requisition id : R

Hello Future Data Scientist,

Welcome to FNB, the home of the #changeables.

We design for shapeshifters and deliver products and services that make us proud of the people who make it happen.

As part of our talent team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that encourages curiosity.

Now's the time to imagine your potential in a team where experts come together to ignite effective change.

We are seeking a Data Scientist to develop and implement innovative analytical methodologies, models, and products that provide insights and support strategic business decisions.

You should be able to:

• Innovate with flexible, customized solutions for efficient outcomes.
• Contribute to the development of model building policies, standards, and governance.
• Integrate business modeling and analytics across the value chain.
• Adhere to policies, standards, and governance related to model building.
• Ensure ethical use of data respecting privacy and sensitivity requirements.
• Comply with privacy legislation and policies, reporting incidents as necessary.
• Create delivery plans in collaboration with stakeholders to meet information needs and define performance metrics.
• Analyze data to identify new commercial opportunities.
• Translate data insights into practical business information within the approved architecture.
• Assess data quality and availability for analysis.
• Develop core analytical capabilities and model libraries using advanced statistical techniques.
• Collaborate across departments to optimize data use and operational results.
• Participate in projects addressing analytical needs and opportunities.
• Serve as a subject matter expert in analytics, understanding business operations.
• Build models to analyze processes for optimization and cost savings.
• Document and audit processes and models.
• Manipulate and analyze data proactively to meet business needs.
• Apply statistical techniques and machine learning algorithms using languages like SAS or Python.
• Utilize predictive modeling to forecast outcomes and support deep learning research.
• Recognize patterns in data with pattern recognition technologies.
• Build and deploy models into applications with software development teams.
• Conduct text analytics on unstructured data for insights.
• Identify data quality issues and recommend corrective actions.
• Participate in enterprise problem resolution with engineers and product managers.
• Create visualizations to communicate findings to technical and non-technical audiences.
• Maintain and update models regularly to ensure relevance and accuracy.
• Use data insights to improve customer experience and monitor business decisions.
• Prepare reports and presentations for stakeholders.
• Support junior analysts and contribute to a knowledge-sharing culture.
• Build relationships to manage expectations and foster collaboration.
• Ensure compliance with statutory, legislative, and governance requirements.
• Develop and implement governance and compliance procedures.
• Identify risks and determine appropriate analytics models for business questions.
• Prepare relevant data sources for analysis and translate business needs into models.
• Develop and apply advanced models to address business problems and opportunities.

Minimum Qualification: BSc in Actuarial Science, Quantitative Risk, Maths, or Stats; Honours in Mathematics.

Experience : 2-3+ years, coding in SAS, SQL; proficient in PowerBi, Excel, PowerPoint; Python and Java advantageous.

We offer : Networking and collaboration opportunities, a challenging work environment, and opportunities to innovate.

We look for candidates who are curious, courageous, driven by learning and bravery, obsessed with mastery and continuous improvement.

Note : Applicants will require a credit record check in accordance with the National Credit Act.

Interested? We look forward to your application!