Data Scientist-I

RMB; Johannesburg; On-site; ZAR 558,000 - 670,000; Full time

Job summary

RMB is seeking a Data Scientist I to join the Johannesburg team. The role involves building, optimising and implementing quantitative analytical methodologies and models to support business strategy and decision-making.

You will work with SAS, SQL and Python to prepare data, perform basic modeling and automate tasks while communicating insights to non-technical stakeholders. You will collaborate with senior data scientists and risk/technology teams, contribute to governance and documentation,

Qualifications

• Honours degree in a STEM or related field.
• 1–2 years hands-on data analysis, modeling or analytics experience.
• Working knowledge of SAS, SQL and Python.

Responsibilities

• Support senior data scientists in end-to-end model development and governance for analytics.
• Assist with analytical problem-solving and data exploration to identify trends and risks.
• Translate technical analyses into actionable insights for non-technical stakeholders.
• Contribute to documentation for models and processes and collaborate across business, risk and tech teams.

Skills

SAS

SQL

Python

Data analysis

Education

Honours Degree in Mathematics/Statistics/CS/Actuarial/Engineering/Physics or related

Job description

## Data Scientist-IApply: Johannesburg: Full time: Posted Today: End Date: September 26, 2026 (3 days left to apply): R53749# **Job Description**To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures.**Hello Future Data Scientist I**Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.As part of our talent team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now’s the time to imagine your potential in a team where experts come together and ignite effective change.**Are you someone who can:*** Support senior data scientists and managers in end-to-end model development, implementation, and governance for financial crime risk analytics (AML/CFT, transaction monitoring, sanctions screening).* Assist with analytical problem-solving and explore data to identify trends, patterns, and potential risks.* Help translate technical analysis into clear, actionable insights for non-technical stakeholders.* Contribute to clear and well-structured technical documentation for models and processes.* Work collaboratively with business, risk, and technology teams across the FirstRand group under guidance from senior team members.* Continuously develop technical and business skills through hands-on project support and mentorship.* Apply SAS, SQL, and Python for data preparation, basic modeling, analysis, and automation tasks.* Support model governance activities, including documentation, monitoring, and review processes.* Demonstrate eagerness to learn, initiative, and a problem-solving mindset in a regulated environment.**You will be an ideal candidate if you:*** Hold an Honours Degree in Mathematics, Statistics, Computer Science, Actuarial Science, Engineering, Physics, or a related field.* Have 1–2 years of hands-on experience in data analysis, modeling, or analytics-related roles, preferably within financial services.* Possess working knowledge of SAS, SQL, and Python.* Are comfortable working under guidance and collaborating within cross-functional teams.* Exposure to financial crime, fraud detection, or AML/CFT concepts is an advantage. **You will have access to:*** Opportunities to network and collaborate.* Challenging Work.* Opportunities to innovate. **We can be a match if you are:*** Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough to.* Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it.* Adaptable, curious and willing to learn.* Passionate in providing insights.* Thrive in a collaborative environment. **Are you interested to take the step? We look forward to engaging with you further. Apply now!**