Data Scientist

Asuer (Pty); Johannesburg; Hybrid; ZAR 500,000 - 900,000; Full time

Job summary

As a Data Scientist at a leading fintech company, you will leverage your skills to create data models and optimize processes while collaborating with cross-functional teams. This role offers a unique opportunity to make a significant impact by driving insights that enhance business operations and empower the sales force.

Benefits

Competitive pay

Flexible work environment

Autonomy to build impactful systems

Qualifications

• Minimum of 2 years of experience in a data science or analytics role.
• Proficiency in English (reading, writing, speaking).

Responsibilities

• Extracting, transforming, and loading data from multiple sources.
• Building dashboards and visual reports supporting operations.
• Conducting exploratory data analysis to identify trends.

Skills

SQL

Python

Data Visualization

Microsoft Excel

ETL Concepts

Statistics

Problem-Solving

Critical Thinking

Education

Tertiary qualification in Data Science, Mathematical Statistics, Computer Science, Engineering

Job description

An enthusiastic and diligent Data Scientist with strong problem-solving abilities and a passion for impactful analysis. You will work at the intersection of data, strategy, and software to support the entrepreneurial journeys of over 50,000 Sales Force members while helping to launch and scale a new fintech business. This role is based in Johannesburg, offers a competitive salary, and provides a unique opportunity to use data to drive meaningful change.

What you'll get to do and why we need you...

As our Data Scientist, you will help us make sense of complex datasets by building robust data models, cleaning and consolidating data sources, and designing tools that unlock actionable insights across the organization. You will work across fintech and field sales domains to inform better decisions, optimize processes, and improve the performance of our tools and operations.

You’ll collaborate with engineers, product managers, and stakeholders from operations and strategy to surface insights that drive business outcomes. From creating dashboards to running statistical analyses and automating workflows, your work will directly contribute to helping our sales force earn better, work smarter, and grow faster.

Key responsibilities include:

• Extracting, transforming, and loading data from multiple sources into usable formats.
• Cleaning and consolidating data to create analysis-ready datasets.
• Building dashboards and visual reports supporting operations and strategic planning.
• Conducting exploratory data analysis to identify trends, anomalies, and opportunities.
• Responding to ad hoc business questions and surfacing insights for decision-making.
• Creating automation and optimization tools using Python and Excel.
• Collaborating with stakeholders to define analytical questions and interpret results.
• Improving data pipelines and supporting data quality initiatives.
• Integrating analytics into existing platforms and processes.

Required skills and qualifications:

• Advanced SQL proficiency for querying structured datasets.
• Solid experience using Python for data manipulation and analysis.
• Proficiency in data visualization and dashboard creation.
• Strong working knowledge of Microsoft Excel.
• Understanding of ETL concepts and data pipeline fundamentals.
• Familiarity with cloud environments such as Google Cloud or AWS is a plus.
• Basic understanding of statistics and hypothesis testing.
• Strong critical thinking and problem-solving skills.

Must-have attributes:

• Ability to translate complex business needs into analytical models and dashboards.
• Effective communication of insights to technical and non-technical stakeholders.
• Capability to handle multiple data requests and priorities systematically.
• Ability to identify gaps and opportunities in data sources.
• Experience in automation and reporting using code and tools.
• Strong collaboration skills with cross-functional teams.
• Adaptability to new datasets, technologies, and business questions.
• Ownership of projects and proactive learning attitude.

Preferred experience:

• Exploratory data analysis and visual storytelling.
• Building tools and reports that are actively used and provide value.
• Creating dashboards in tools like AWS QuickSight or Google Data Studio.
• Using Jupyter notebooks.
• Experience with version control systems.
• Supporting operational and performance analytics across sales, customer, and product data.

Prerequisites:

• A tertiary qualification in Data Science, Mathematical Statistics, Computer Science, Engineering, or related fields.
• Minimum of 2 years of experience in a data science or analytics role.
• Strong problem-solving skills and a willingness to challenge assumptions.
• Proficiency in English (reading, writing, speaking).

A BIT MORE ABOUT US

What we offer....

At Asuer, you’ll join a mission with real meaning, empowering thousands across Africa. Collaborate with smart, curious teammates who move fast and build purposefully, without legacy system constraints. We offer competitive pay, flexible work environment, and autonomy to build impactful systems. This is a place for growth, where you can scale meaningful products and make a tangible impact daily.