185 Data Scientist jobs in Johannesburg

We are looking for a talented Data Scientist to join our team, responsible for analyzing and interpreting complex data to inform business decisions and drive growth. The successful candidate will have a strong background in data analysis, machine learning, and statistics, with a proven track record of delivering high-quality insights and recommendations. The Data Scientist will work closely with cross-functional teams, including product, engineering, and business development, to identify opportunities for data-driven innovation and develop strategic plans to execute on these opportunities.

• Analyze and interpret complex data to inform business decisions and drive growth
• Develop and maintain large-scale data systems, including data warehouses, data lakes, and data pipelines
• Collaborate with engineers to develop and implement data-driven products and solutions
• Work with product managers to develop product roadmaps and prioritize features and requirements
• Develop and maintain relationships with key stakeholders, including business leaders, product managers, and engineering teams
• Communicate complex data insights and recommendations to non-technical stakeholders, including business leaders and product managers
• Stay up-to-date with the latest advancements in data science, machine learning, and AI, applying this knowledge to drive innovation and improvement in data-driven products and solutions
• Develop and maintain predictive models and algorithms to drive business growth and innovation

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
• 3+ years of experience in data science, machine learning, or statistics, with a focus on data analysis and interpretation
• Strong background in data analysis, machine learning, and statistics, with expertise in areas such as predictive modeling, data visualization, and data mining
• Experience with data science frameworks and tools, such as Python, R, or SQL
• Strong programming skills in languages such as Python, R, or Java
• Experience with cloud-based technologies, such as AWS or Google Cloud
• Strong understanding of software engineering principles, including design patterns, testing, and version control
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Technical Skills:

• Machine learning: supervised, unsupervised, and reinforcement learning
• Cloud-based technologies: AWS, Google Cloud, Azure, etc.

Full time

Johannesburg

We are seeking a talented and intellectually curious Data Scientist to join our dynamic team. In this role, you will be at the heart of our decision-making process, transforming vast datasets into actionable intelligence. You will tackle some of our most challenging business problems, using statistical modelling and machine learning to uncover opportunities, optimise processes, and drive strategic growth. If you are passionate about telling stories with data and building solutions that have a real-world impact, we want to hear from you.

Key Responsibilities

• Model Development & Implementation: Design, build, and deploy robust statistical and machine learning models (e.g., for classification, regression, clustering) to predict outcomes and optimise key business metrics.
• Advanced Analytics: Dive deep into large, complex datasets to identify meaningful patterns, trends, and causal relationships that answer critical business questions.
• Data Storytelling & Visualisation: Translate complex analytical findings into clear, compelling narratives and visualisations for both technical and non-technical stakeholders using tools like Power BI, Tableau, or SAS Visual Analytics.
• Data Preparation & Engineering: Take ownership of the data lifecycle, including cleaning, pre-processing, and transforming raw data into high-quality, analysis-ready datasets.
• Experimental Design: Design and execute A/B tests and other experiments to validate hypotheses and measure the impact of new strategies.
• Cross-Functional Collaboration: Partner closely with business analysts, data engineers, and product managers to define project requirements, develop solutions, and integrate them into our operational workflows.
• Continuous Innovation: Stay current with the latest advancements in data science, machine learning, and AI, and champion the adoption of new technologies and methodologies within the team.

Skills & Qualifications

We believe the right candidate will have a blend of technical expertise, business acumen, and strong interpersonal skills.

Required:

• Education: A Master’s degree or PhD in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Engineering, or Econometrics.
• Core Programming: High proficiency in Python (including libraries like pandas, NumPy, scikit-learn) and/or SAS, paired with strong SQL skills for data extraction and manipulation.
• Statistical Foundation: A deep understanding of statistical concepts, experimental design, and modelling techniques.
• Machine Learning: Hands-on experience developing and deploying machine learning models using libraries such as scikit-learn, TensorFlow, or PyTorch.
• Communication: Exceptional ability to articulate complex technical concepts and findings clearly and concisely to diverse audiences.
• Problem-Solving: Strong critical-thinking and analytical skills with a proven ability to solve ambiguous problems with data.

Preferred:

• Data Visualisation: Demonstrable experience creating insightful dashboards and reports in tools like Power BI, Tableau, or SAS Visual Analytics.
• Big Data Technologies: Familiarity with distributed computing frameworks like Apache Spark or Hadoop.
• Cloud Platforms: Experience working with data services on cloud platforms such as AWS, Azure, or GCP.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology, Retail

Data Scientist position available in Johannesburg. Overview

Data Scientist position available in Johannesburg.

• Lead a skilled Java team
• Own full-stack delivery (UI, SQL, business logic)
• Architect scalable systems
• Drive CI/CD and testing strategies
• Ensure performance, compliance, and clean code

• 10+ yrs Java EE, 3+ yrs leading teams
• Spring Boot, EJB, Hibernate, SQL, Microservices
• Experience with MSSQL, Oracle, WebLogic/JBoss
• Strong design, integration, and stakeholder skills

Hello Future Data Scientist II

Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of the people who make it happen.

We are seeking a skilled and innovative senior data scientist to join our team, specializing in Conversational AI.

Our mandate is to provide the foundational support and enablement necessary for the bank to deliver superior conversational and search experiences, driving engagement and value for our customers.

In this role, you will be responsible for developing and enhancing language models by utilizing natural language processing and understanding skills. Your work will specifically involve advancing generative AI capabilities through the application of LLMs, ensuring intelligent and contextually relevant conversations within our conversational interfaces.

Are you someone who :

• Can identify and coordinate data-driven projects to enable enhanced business solutions and decision-making.
• Build data science integrated solutions that enable efficient communication between conversational systems and core banking systems.
• Can design and build algorithms that improve the accuracy of chatbots and search engines in understanding and responding to user queries.
• Have strong skills in data analysis, including preprocessing, feature engineering, and deriving meaningful insights from diverse datasets.
• Have an in-depth knowledge of statistical/machine learning algorithms and their applications, particularly in conversational AI.
• Can effectively communicate and work closely with cross-functional teams and articulate complex concepts to both technical and non-technical stakeholders.
• Stay current with the latest advancements in AI and quickly adapt to evolving technologies and methodologies.
• Can conduct research to gather and analyze information to support project objectives.
• Are interested in generative AI, natural language processing, and conversational AI.
• Can practically generate results leveraging statistical techniques and coding.
• Develop and apply statistical models to collect, organize, and summarize data to enable insights/trends for business stakeholders. Perform ad hoc exploratory statistics and data mining tasks on diverse datasets.

You will be an ideal candidate if you :

• Hold a minimum qualification of Honours BSc in Mathematics, Statistics, Computer Science, Actuarial Science, Business Mathematics, or Informatics.
• Have at least 3 years of relevant experience.
• Proficient in Python and SQL.
• Possess strong statistical skills.
• Have experience in NLP (Natural Language Processing).
• Have a good understanding of the LangChain module.
• Have practical experience in NLP applications.
• Possess strong problem-solving skills.
• Are motivated and proactive.

You will have access to :

• Working on ground-breaking, current generative AI technology.
• Opportunities to network and collaborate.
• A challenging work environment.
• Opportunities to innovate.

We can be a match if you are :

• Curious & creative — driven by a desire to learn more and brave enough to explore new ideas.
• Obsessed with mastery — committed to becoming proficient and constantly improving.
• Self-driven.

Interested in taking the next step? We look forward to engaging with you further. Apply now!

Post

LI-NH1

Job Details

Please note that applications will not be accepted after 21/11/24 . Kindly submit your application before the closing date.

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. Candidates may voluntarily disclose their disability information, which will be kept confidential unless required by law.