Junior Data Scientist

Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Role Focus:

We are seeking a highly motivated and talented candidate with a strong focus on data analytics, and a solid understanding of data engineering and data science. The ideal candidate will be adept at transforming data into actionable insights that drive business decisions.

Key Responsibilities:

• Work with business stakeholders to understand data requirements and design data solutions that meet their needs.
• Develop and maintain data solutions to support various business units.
• Data manipulation and analysis.
• Creation of basic and advanced visualisations.
• Collaborate with cross-functional teams including various product houses and other data teams to understand their data needs and deliver insights.
• Ensure data quality and integrity by implementing best practices in data management.
• Management of projects to ensure timely delivery of quality results in accordance with stakeholder expectations.

Technical Requirements:

• Proficiency in Python, with a focus on PySpark.
• Strong SQL skills for querying and manipulating data.
• Experience working in Databricks for data engineering and analysis tasks is advantageous.
• Ability to create visualizations in Databricks and/or PowerBI.
• Familiarity with project management tools like Jira and version control systems like GitHub.

Key Metrics:

• Deliver high-quality results that meet stakeholder expectations.
• Maintain data accuracy and integrity in all analyses and reports.
• Ability to work in high-pressure environment and meet deadlines.

Team Structure:

You will be a key member of the data team, working closely with various business units to provide insights and support decision-making processes. Collaboration and communication with marketing, finance, and product development teams will be essential.

Project Examples:

• Translating stakeholder business challenges into actionable data-driven solutions.
• Conducting data analysis to identify trends and opportunities for business growth.
• Developing dashboards and reports to showcase insights for different business units.
• Collaborating with data engineers and data scientists to implement data pipelines and machine learning models.

Qualifications and skills:

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• 1-2 years experience in a data role.
• Strong analytical skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.