67 AI Ml jobs in South Africa

Manager: AI/ML and Data Science (Business Banking) – Johannesburg | Hybrid

Are you ready to shape the future of AI and advanced analytics in banking?

Join a leading financial institution as the
AI & Data Science Manager
, where you'll drive innovation, lead a talented data science team, and embed data-driven intelligence across the business.

What You'll Do

• Develop and execute the bank's
  AI strategy
  in alignment with business goals.
• Lead, mentor, and inspire a
  team of data scientists
  to deliver world-class AI/ML solutions.
• Manage the
  end-to-end lifecycle
  of AI/ML models — from design to deployment and monitoring.
• Partner with business stakeholders to
  identify AI-driven opportunities
  that deliver measurable impact.
• Ensure AI/ML models meet
  ethical, regulatory, and governance standards
  .
• Champion a
  data-driven culture
  and establish best practices for AI adoption across the bank.

What You'll Bring

• Master's/PhD in Information Technology, Machine Learning, Computer Science, or a related field.
• Proven experience in
  AI/ML model development, deployment, and leadership
  .
• Strong skills in
  Python, R, TensorFlow, PyTorch, Scikit-learn
  .
• Cloud AI expertise on
  AWS, Azure, or GCP
  .
• Excellent problem-solving, communication, and stakeholder management abilities.

Bonus Points For

• Experience in
  financial services or banking analytics
  .
• Knowledge of
  MLOps and AI model governance frameworks
  .
• Exposure to
  Generative AI, NLP, or Computer Vision
  technologies.

Location:
Johannesburg (Hybrid)

Type:
Permanent

Salary:
Negotiable based on experience

Ref:
NG60789

Ready to make your mark?

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• Design, develop, and optimize Generative AI models for operational and analytical use
• Build and fine-tune RAG frameworks using tools like LangChain, LlamaIndex, and other LLM platforms
• Engineer scalable data pipelines and perform ETL to support AI model training and deployment
• Collaborate with data and DevOps teams to deploy AI solutions in production environments
• Integrate data from multiple sources and ensure robust data warehousing and accessibility
• Drive performance, scalability, and cost efficiency for AI models in cloud and on-prem settings
• Communicate complex AI concepts to non-technical stakeholders and align work to business goals
• Continuously research, experiment, and stay ahead of GenAI trends and architectures

• 3+ years in AI/ML, with at least 12 years focused on Generative AI
• Strong background in data engineering, ETL processes, and pipeline development
• Hands-on experience with TensorFlow, PyTorch, and GenAI frameworks
• Proficiency in Python, SQL, Pandas, and NumPy
• Experience with cloud platforms (AWS, GCP, and Azure) and container tools (Docker and Kubernetes)
• Knowledge of MLOps practices, including model versioning, monitoring, and retraining
• Familiarity with big data and storage tools like Spark, Hadoop, and vector databases
• Excellent communication, teamwork, innovation mindset, and analytical problem-solving
• Bachelors Degree in Computer Science, Data Science, ML, or a related field (Masters/PhD advantageous)
• Preferred Certifications:
  • AWS Certified Machine Learning / AI Practitioner
  • GCP ML Engineer or Cloud Engineer
  • Microsoft Azure AI Engineer / Data Science

AI/ML ENIGINEER SENIOR CONSULTANT

Cape Town Metropolitan, South Africa

About Datalab

At Datalab, our purpose is to empower businesses to unlock measurable value through data-driven insights and intelligent analytics. We expertly design and implement end-to-end modern data solutions, with Snowflake at the core, complemented by carefully selected data technologies to ensure efficient, cost-effective, and future-ready data ecosystems. By combining innovation and deep expertise, we enable real-time, actionable insights that help organizations become smarter, more agile, and more resilient in an ever-changing digital landscape.

For more information and a host of resources please visit:

Why join Datalab

• Flexible Work Arrangements
  : Enjoy hybrid work environment to suit your lifestyle.
• Broad Technology Exposure
  : We offer experience across various data, analytics, and cloud technologies—so you'll always be learning something new about the modern data stack.
• Career Growth & Development
  : We invest in our people through training, certifications, and mentorship, ensuring continual professional and personal advancement.
• Opportunities to contribute to transformative, high-impact data initiatives, grow your skills and be exposed to market leadership.
• Collaborate with a dynamic, innovative team with a start-up mindset that values autonomy, results, and professional growth.
• Become a leading voice in data-driven decision-making, shaping how top-tier enterprises operate and innovate.

About the Role

As an AI/ML Engineer Consultant, you will design, build, and productionize machine-learning and generative-AI solutions on modern data platforms. You'll run end-to-end engagements—from discovery and solution architecture through MLOps, deployment, and enablement—turning complex business problems into measurable outcomes. Expect hands-on work with Snowflake (Snowpark, Cortex, vector embeddings), Python, and cloud services plus downstream analytics in Power BI/ThoughtSpot/Sigma.

Key Responsibilities

Solution Discovery & Architecture

·   
Run technical discovery, translate business goals into AI/ML solution designs, and define success metrics/KPIs.

·   
Architect data and model pipelines on Snowflake-centric platforms (Snowpark, Streams/Tasks; Cortex Search for semantic/retrieval use cases).

Modeling & GenAI Engineering

·   
Build, evaluate, and iterate on classical ML and LLM-powered solutions (classification, forecasting, recommendations, NLP; RAG for domain grounding).

·   
Implement embeddings and vector search; design prompts, guards, and evaluation strategies for reliability and safety.

MLOps & Delivery

·   
Productionize models with CI/CD, experiment tracking, model registry, and serving (e.g., MLflow), containerization, and scalable inference.

·   
Establish monitoring (drift/latency/quality), alerting, and rollback strategies; document and hand over runbooks.

Client Advisory & Enablement

·   
Act as a trusted advisor: present options/trade-offs, guide adoption (governance, security, cost), and lead stakeholder workshops.

·   
Coach client teams in best practices for MLOps, GenAI safety, and analytics enablement.

Team Leadership

·   
Lead small delivery squads; mentor engineers; contribute to internal accelerators, templates, and reference architectures.

Qualifications & Experience

Must-haves

·   
Masters Degree in Data Science, Engineering, Computer Science or Statistics.

·   
3-4 years delivering production ML/AI solutions.

·   
Strong Python and SQL; solid understanding of statistics/ML fundamentals and evaluation.

·   
MLOps proficiency with at least 1-2 years hands-on experience.

·   
Practical GenAI experience (LLM integration, RAG, prompt design, grounding/eval).

Nice-to-haves

·   
1-2 years client facing/consulting experience.

·   
Hands-on with experience with Snowflake (Snowpark; familiarity with Cortex and vector embeddings a plus).

·   
Hands-on experience with BI tools (Power BI/ThoughtSpot/Sigma)

What Success Looks Like (first 6–12 months)

·   
Deliver 2–3 client projects end-to-end with measurable impact (e.g., accuracy uplift, cost reduction, time-to-insight).

·   
Stand up a reusable MLOps baseline adopted by at least one client team.

·   
Contribute patterns for Snowflake-native AI (e.g., Cortex Search starter, embedding/RAG accelerator).

Job Title: Senior Python Software Engineer – AI/ML

About Us:

FrostByte (Pty) Ltd, established in 2013, is a proudly South African, 100% BEE-owned technology company specializing in
custom software development, quality assurance solutions, and consulting services
across a wide range of technology platforms and niche sectors.

We have built trusted partnerships with leading organizations, including
Discovery, Edge, MultiChoice, BME, and Irdeto
, by consistently delivering innovative and scalable technology solutions.

Our subsidiary,
Frost Technica Private Limited
, based in India, strengthens our delivery capabilities by providing specialized offsite development services and niche skillsets, enabling us to offer cost-effective, high-quality solutions to the South African market.

Overview

We are seeking a highly skilled Senior Python Software Engineer – AI/ML to join our team. The ideal candidate will bring deep expertise in Python and end-to-end AI/ML product delivery, with strong experience in Large Language Models (LLMs), data engineering, and MLOps frameworks. Hands-on exposure to Databricks, Data Foundry, MLflow, Prefect, and Azure ML tooling will be highly advantageous.

Key Responsibilities

• Design, develop, and deploy AI/ML systems into production environments.
• Orchestrate and manage scalable data pipelines with a focus on quality, reliability, and efficiency.
• Own the full AI/ML lifecycle:
• Data ingestion, preprocessing, and validation
• Model training, fine-tuning, validation, and optimization
• Deployment, monitoring, and scaling in production
• Continuous evaluation and improvement
• Implement scalable and maintainable code aligned with modern development practices (CI/CD, testing, reviews).
• Develop APIs and microservices to integrate AI/ML solutions into enterprise platforms.
• Work with containerization and orchestration technologies (Docker, Kubernetes) to enable cloud-native AI solutions.
• Collaborate cross-functionally to deliver business-focused AI capabilities.

Core Competencies & Requirements

AI/ML Expertise

• Proven experience in delivering production-grade AI/ML systems.
• Strong understanding of
  LLMs
  (fine-tuning, embeddings, integration, and deployment).
• Familiarity with NLP techniques and advanced ML workflows.

Software Engineering

• Advanced proficiency in
  Python
  for AI/ML applications.
• Skilled in scalable, maintainable code design and architecture.
• Experience with
  CI/CD pipelines
  , automated testing, and modern development best practices.

Data Engineering

• Hands-on experience with
  Databricks, Data Foundry
  , and
  Apache Spark
  for large-scale data processing.
• Ability to build and maintain ETL/ELT pipelines with strong validation and governance.
• Knowledge of pipeline orchestration frameworks such as
  Prefect
  (or Airflow).

MLOps & Frameworks

• Practical experience with
  MLflow
  for tracking, orchestration, and reproducibility.
• Strong knowledge of MLOps best practices and deployment strategies.

Cloud Platforms & Infrastructure

• Hands-on experience with
  Azure ML services
  (Data Factory, ML Studio, Synapse).
• Azure certification
  will be considered an advantage.
• Exposure to
  AWS
  or
  GCP
  is beneficial.
• Experience with
  Docker
  and container orchestration (Kubernetes).

API Development & Microservices

• Proven ability to design RESTful APIs and microservices.
• Experience integrating AI models into production workflows.
• Familiarity with observability best practices (metrics, logging, tracing).

Qualifications

• Bachelor's degree
  in
  Computer Science, Computer Engineering, Software Engineering, or related field
  (BSc required).
• Honours or Master's degree
  in a relevant field will be an
  advantage
  .
• 7+ years of professional software engineering experience, with at least 3+ years focused on AI/ML.
• Strong experience with ML frameworks such as
  TensorFlow, PyTorch, and Scikit-learn
  .
• Agile methodology experience and strong collaboration skills.

We are seeking a highly skilled Senior Python Software Engineer – AI/ML to join our team. The ideal candidate will bring deep expertise in Python and end-to-end AI/ML product delivery, with strong experience in Large Language Models (LLMs), data engineering, and MLOps frameworks. Hands-on exposure to Databricks, Data Foundry, MLflow, Prefect, and Azure ML tooling will be highly advantageous.

Responsibilities

• Design, develop, and deploy AI/ML systems into production environments.
• Orchestrate and manage scalable data pipelines with a focus on quality, reliability, and efficiency.
• Own the full AI/ML lifecycle:
• Data ingestion, preprocessing, and validation
• Model training, fine-tuning, validation, and optimization
• Deployment, monitoring, and scaling in production
• Continuous evaluation and improvement
• Implement scalable and maintainable code aligned with modern development practices (CI/CD, testing, reviews).
• Develop APIs and microservices to integrate AI/ML solutions into enterprise platforms.
• Work with containerization and orchestration technologies (Docker, Kubernetes) to enable cloud-native AI solutions.
• Collaborate cross-functionally to deliver business-focused AI capabilities.

Core Competencies and Requirements: AI/ML Experise

• Proven experience in delivering production-grade AI/ML systems.
• Strong understanding of
  LLMs

(fine-tuning, embeddings, integration, and deployment).
- Familiarity with NLP techniques and advanced ML workflows.

Software Engineering

• Advanced proficiency in
  Python

for AI/ML applications.
- Skilled in scalable, maintainable code design and architecture.
- Experience with
CI/CD pipelines

, automated testing, and modern development best practices.

Data Engineering

• Hands-on experience with
  Databricks, Data Foundry

, and
Apache Spark

for large-scale data processing.
- Ability to build and maintain ETL/ELT pipelines with strong validation and governance.
- Knowledge of pipeline orchestration frameworks such as
Prefect

(or Airflow).

MLOps and Frameworks

• Practical experience with
  MLflow

for tracking, orchestration, and reproducibility.
- Strong knowledge of MLOps best practices and deployment strategies.

Cloud Platforms and Infrastructure

• Hands-on experience with
  Azure ML services

(Data Factory, ML Studio, Synapse).
- Azure certification

will be considered an advantage.
- Exposure to
AWS

or
GCP

is beneficial.
- Experience with
Docker

and container orchestration (Kubernetes).

API Development and Microservices

• Proven ability to design RESTful APIs and microservices.
• Experience integrating AI models into production workflows.
• Familiarity with observability best practices (metrics, logging, tracing).

Qulaifications

• Bachelor's degree

in
Computer Science, Computer Engineering, Software Engineering, or related field

(BSc required).
- Honours or Master's degree

in a relevant field will be an
advantage

.
- 5+ years of professional software engineering experience, with at least 3+ years focused on AI/ML.
- Strong experience with ML frameworks such as
TensorFlow, PyTorch, and Scikit-learn

.
- Agile methodology experience and strong collaboration skills.

Not for First Time Job Seeker

Important:
This role requires all 12 listed skills.

Please ensure your CV clearly reflects each of these with traceable experience and references. Candidates missing any of the required skills will not be considered.

JOB ROLE - DATA SCIENCE/ AI/ML Engineers:-

Educational qualifications

• Bachelor's degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Master's or PhD in Machine Learning, Applied Mathematics, Econometrics, or AI (strongly preferred).

SKILLS:

Machine learning engineering

Azure databricks

Business acumen

Python

SQL

Version control and collaboration tools (git, azure repo)

Strong communication with non-technical stakeholders

Cloud platform knowledge (azure)

Model deployment (CI/CD pipelines, model monitoring)

Understanding of rag pipelines and autonomous agents

Feature and ml data engineering (advanced big data wrangling)

Understanding of project management and agile methodologies

Relevant experience

• 8–12 years of experience in data science, machine learning, or advanced analytics roles, with at least 3 years in a leadership or managerial capacity.
• Proven delivery of AI/ML models in production environments—preferably in Fintech, Banking, or Telecoms.
• Experience translating complex data science solutions into measurable business outcomes (e.g., credit scoring, fraud detection, churn prediction).
• Exposure to cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI)."

Required certifications

Preferred: TensorFlow, AWS ML Speciality, Microsoft AI Fundamentals

Key responsibilities

• Lead and scale a high-performing team of data scientists and ML engineers.
• Define and execute the data science roadmap, aligned to business priorities and monetisation opportunities.
• Oversee the end-to-end model lifecycle—from ideation, exploration, development, validation, to monitoring.
• Partner with Product, Risk, and Engineering to integrate models into digital and operational channels.
• Establish standards for model governance, explainability, and ethical AI practices.
• Drive innovation by exploring emerging techniques in generative AI, reinforcement learning, and real-time scoring.

Work location

Hybrid

Contract Position

Job Description
Hello Data Science Manager. Welcome to FNB, the home of the #changeables. We design for the shapeshifters and the game changers. As part of our talent team at FNB Personal Core Banking, 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.

The Personal and Private Core Banking Pricing team is a centre of excellence for FNB. They perform the formulation and execution of pricing strategies across the various business units including Personal Core Banking, Private Core Banking, Credit Card, Home Loans, FNB Channel Islands and Broader Africa. This crucial function engages many senior stakeholders including our CEOs, CFOs and Product Heads to collaboratively drive revenue and income statement growth. The team consists of passionate driven individuals who are invested in the team's success and work together to drive towards outcomes that exceeds expectations.

We're looking for a seasoned Data Science Manager to revolutionize our data utilization. You'll be responsible for building, optimizing, and implementing innovative quantitative analytical methodologies, procedures, products, and advanced mathematical models for our Business Pricing Model. You'll provide analytical support and interpret insights to address business opportunities and problems and implement business strategy with minimal guidance. You'll manage an analytics team, streamline processes, and ensure compliance with privacy requirements. Your role includes integrating analytics into operations, developing core capabilities, and driving performance. Join us to lead data-driven strategies and enhance our business outcomes.

Are You Someone Who Can

• Manage Quantitative Analytics and Modelling team (5 + team members)
• Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.
• Establish goals and strategies for area of accountability in collaboration with senior data analytics management.
• Ensure ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.
• Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
• Ensure reporting of any Information Privacy Incidents and drive resolution of Privacy and Protection Audit.
• Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
• Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.
• Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.
• Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
• Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.
• Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.
• Ensure analytics productionization in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.
• Analyse information requirements, availability and quality of data to feed into Data and information management function and forums for resolution.
• Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
• Integrate analytics into operational processes to improve efficiency and client experience.
• Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.
• Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.
• Serve as SME for analytics applying own understanding of the operations of the business product or service.
• Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.
• Address business problems and opportunities through robust underlying analytics.
• Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.
• Ensure accurate development and application of analytical algorithms and methods to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision making.
• Provide requirements to Business Information.
• Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.
• Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.
• Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk.
• Maintain ownership and oversee the implementation of models.
• Monitor output and accuracy of models.
• Ensure the documentation and auditing of relevant models, projects and processes.
• Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.
• Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.
• Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization.
• Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.
• Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.
• Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.
• Model and drive a data driven culture that values data as an asset with business value.
• Lead relevant change and communications functions to drive functional maturity.
• Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence.
• Prevent wastage and identify process improvements to contain and reduce costs.
• Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.
• Ensure implementation of relevant policies, governance and practice standards across the business.
• Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements.
• Ensure compliance is adopted in terms of systems and procedures as laid out by business.
• Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks.
• Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.
• Engage in cross-functional relationships to obtain and to provide work support.

You Will Be an Ideal Candidate If You Have

• Mathematical/Analytical/Actuarial Science B.Sc. degree or B. Com degree with:
• 5 – 8 years' experience in an analytical and/or modelling position
• 3 years in a management role leading a team (Non-Negotiable)
• Data science and big data knowledge preferable
• Pricing experience, added advantage
• Good communication skills
• Quantitative and analytical skills
• Financial modelling skills
• SAS, Python, SQL, Teradata, PowerBI programming preferable
• Good interpretation skills

You will have access to

• Opportunities to network and collaborate
• A challenging working environment
• Opportunities to innovate

We can be a match if you are / have

• Analytical
• Adaptable and curious
• Thrive in a collaborative environment
• Conceptual and Big Picture Thinking
• Strategic Thinking

Apply now if you are interested in taking the next step. We look forward to engaging with you
All appointments will be made in line with FirstRand Group's Employment Equity plan. The bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfil this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

*Job Details
Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below. *
25/09/25

All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

At
X, bigly labs
, we're Dis-Chem's high-performance innovation hub, where bold ideas meet data, design, and radical customer focus. Our mission is simple:
power the future of healthcare
by lowering costs, improving outcomes, and unlocking new possibilities. We're driven by one big question:
How do we use data + technology today to create healthier lives tomorrow?
Here, we don't just imagine the future,
we build it
. From cutting-edge digital solutions to smarter, patient-focused experiences, we're reimagining health tech to make breakthroughs possible.

Welcome to
X, bigly labs.
This is healthcare, reimagined.

From retail and pharmacy to clinics, insurance and beyond, we're applying machine learning and smart systems to reimagine healthcare pathways and create personalised experiences at scale. Here, your work doesn't sit in a notebook or on a whiteboard. It becomes real. It shapes decisions. It improves lives. And we do it all the Bigly way, questioning, challenging, and building audaciously, together.

The
Data Science Lead
will spearhead the development and deployment of advanced analytics and machine learning solutions across the organisation. This role is responsible for driving data-driven decision-making, leading a team of data scientists, and ensuring scalable, secure, and efficient implementation of models using cloud-native technologies.

WHAT WE'RE LOOKING FOR?
Minimum

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 8+ years of experience in data science, with at least 3 years in a leadership or senior technical role.
• Proven experience in designing, developing, and deploying machine learning models in production environments.
• Extensive hands-on experience with cloud-native tools and platforms (e.g., AWS SageMaker, Azure ML, Google Cloud AI Platform).
• Strong proficiency in Python, R, SQL, and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow).
• Solid understanding of data engineering principles and cloud data architectures.
• Excellent communication and stakeholder management skills.

Advantageous

• Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience in developing and deploying pre built models (e.g. Large Language Models).
• Experience in healthcare, retail, or insurance data ecosystems.

WHAT YOU WILL BE DOING?

• Model Development & Deployment
• Accelerate Analytics and AI Adoption
• Collaboration & Stakeholder Engagement
• Innovation & Research
• Team Leadership and Capability Building

WHO YOU ARE?

• Analytical mindset with attention to detail.
• Comfortable working in fast-paced, evolving environments.
• Willingness to pivot strategies based on feedback and results.
• Passion for exploring new technologies and methodologies.
• Encourages experimentation and creative thinking.
• Commitment to responsible AI practices and data privacy and upholds transparency and fairness in model development and deployment.

Our values aren't just ideals, they're the through-lines in how we think, build, and make decisions that impact real lives. From bold experimentation in digital solutions to platforms built on integrity, we're shaping a culture designed for
progress that lasts
. It's a culture that
designs for the future
, asks better questions, and answers them with care, urgency, and systems that scale.

Think you've got the energy, the curiosity, and the guts? Stay close
b
igly things are ahead.

Job Description

The Pricing Manager will lead strategic pricing for Transact interest and facility fees, driving revenue and profitability through data‑driven decision making. This role implements Analytics standards across assigned business units and converts data into monetisation opportunities by developing and deploying advanced mathematical models and commercial frameworks. The Pricing Manager uncovers hidden patterns and associations in customer and transaction data to shape pricing strategy, optimise channel design, and predict client behavior for improved product performance and customer outcomes.

• Ensure adoption and localization of appropriate model building policies, standards, frameworks, and governance process and integration of business modelling and analytics value chain.
• Establish goals and strategies for area of accountability in collaboration with senior data analytics management.
• Ensure ethical usage of information that complies to restrictions applied for privacy and sensitivity classification.
• Understand and ensure implementation and adherence to Privacy business requirements, legislation and policy.
• Ensure reporting of any Information Privacy Incidents and drive resolution of Privacy and Protection Audit.
• Findings, Complaints, Incidents, Investigations and Privacy and Protection Assessments.
• Provide and use data and analytic insights to improve customer experience through a better understanding of the customers context to identify monetization opportunities.
• Manage analytics team in the creation of high-quality analyses for all functions of the business, across area of accountability.
• Create tactical plans for achievement of outputs / deliverables in collaboration with business stakeholders to understand information requirements for strategy delivery and define metrics that track performance.
• Drive team performance of analytics solutions; drive and enhance data systems and streamline business processes to impact overall business results while keeping costs in check.
• Analyse available data to identify information commercialization opportunities that have not been explored to address business needs and revenue options.
• Ensure analytics productionization in the approved FirstRand architecture by translating technical data information into practical business information that addresses identified needs.
• Analyse information requirements, availability and quality of data to feed into Data and information management function and forums for resolution.
• Oversee the appropriate manipulation and analysis of data for to meet needs of the business for the purpose of future work and to ensure high information-quality and reliability across the business.
• Integrate analytics into operational processes to improve efficiency and client experience.
• Ensure development of core analytical capabilities or model libraries using advanced statistical, quantitative or econometric techniques.
• Manage overall project dependencies management and long-term prioritization of the business's overall analytical needs and opportunities.
• Serve as SME for analytics applying own understanding of the operations of the business product or service.
• Define the business questions for Business unit that need be answered; define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.
• Address business problems and opportunities through robust underlying analytics.
• Translate business requirements into tangible solutions or models utilizing own understanding of business value and interrelated nature of projects, models and processes.
• Ensure accurate development and application of analytical algorithms and methods to build, test and implement advanced mathematical models and analytical solutions that address business problem, opportunities and improve business outcomes i.e. reduced risk and costs, increased profitability, optimized efficiency and to facilitate strategic decision making.
• Provide requirements to Business Information.
• Management Function as Supplier or Owner of Data to ensure data is prepared for consumption as an organizational asset.
• Create team tactical plans for achievement of outputs or deliverables in collaboration with Technology stakeholders to ensure the effective implementation of analytical solutions and models to support business requirements.
• Ensure governance and compliance rules are followed in application and implementation of predictive models to enable the business to manage risk.
• Maintain ownership and oversee the implementation of models.
• Monitor output and accuracy of models.
• Ensure the documentation and auditing of relevant models, projects and processes.
• Provide input into business strategies through data analysis that proactively improve efficiency, identify risks, save costs and drive innovation.
• Lead business through efforts that drive business performance and potential by using the existent and new data sources and techniques.
• Enable business unit to understand its own health, finds growth levers, and identify opportunities for optimization.
• Create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization and addressing unanswered business issues in a proactive manner.
• Ensure validation and interpretation of analytical results and creation of reports and presentations for data analytics management, departmental heads/management, and relevant stakeholders.
• Collaborate with numerous departments across the business to assist in the proper use of data that ensure delivery of desired operational results.
• Model and drive a data driven culture that values data as an asset with business value.
• Lead relevant change and communications functions to drive functional maturity.
• Manage people by executing management responsibilities and create an environment that encourages employee growth and performance excellence.
• Prevent wastage and identify process improvements to contain and reduce costs.
• Take all necessary actions to ensure compliance with relevant statutory, legislative, policy and governance requirements in area of accountability.
• Ensure implementation of relevant policies, governance and practice standards across the business.
• Maintain expert knowledge on relevant legislative amendments, industry best practices and business's internal compliance procedures and requirements.
• Ensure compliance is adopted in terms of systems and procedures as laid out by business.
• Implement and provide input into the development of governance and compliance procedures and processes within area of specialization and identify risks.
• Build relationships that allow for the managing of expectations; the sharing of knowledge and diverse insights; and the creation of buy-in.

Additional requirements

• Relevant BSC Degree / Actuarial Science
• Minimum of 5 years' experience in a Data Science role
• Relevant Pricing Experience
• Experience Managing a team

Additional requirementEngage in cross-functional relationships to obtain and to provide work support

Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

23/10/25

All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.