205 Data Scientists jobs in Johannesburg

THE WORK : Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions and contribute in providing solutions to work related problems. Let's create a brighter future together!

Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights.

Develop brand tracking systems and convert data into relevant KPI dashboards.

Utilize analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.

BONUS POINTS IF YOU HAVE:

• Advanced proficiency in Generative Design
• Advanced proficiency in Machine Learning

HERE'S WHAT YOU WILL NEED:

• Expert proficiency in Data Science.
• Advanced proficiency in Data Analytics.
• A minimum of 1 year of experience in relevant related skills.
• Bachelor's Degree in relevant field of studies

BONUS POINTS IF YOU HAVE:

• Advanced proficiency in Generative Design
• Advanced proficiency in Machine Learning

THE WORK
: Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions and contribute in providing solutions to work related problems. Let's create a brighter future together

Use existing research methods and develop new approaches to discover anthropological, ethnographical and sociological insights.

Develop brand tracking systems and convert data into relevant KPI dashboards.

Utilize analytical methodologies, mathematical modeling or optimization techniques to develop intellectual property.

BONUS POINTS IF YOU HAVE:

Advanced proficiency in Generative Design

Advanced proficiency in Machine Learning

HERE'S WHAT YOU WILL NEED:
Expert proficiency in Data Science.

Advanced proficiency in Data Analytics.

A minimum of 1 year of experience in relevant related skills.

Bachelor's Degree in relevant field of studies

BONUS POINTS IF YOU HAVE:
Advanced proficiency in Generative Design

Advanced proficiency in Machine Learning

About The Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case.

About The Role
This permanent role offers the opportunity to develop and maintain internal AI tools for our legal content team. This role is ideal for someone passionate about problem-solving, operational efficiency, and driving automation and AI development through code. You'll work closely with AI developers, internal lawyers, paralegals, commissioning editors and product leaders to build innovative AI-powered solutions that deliver tangible internal business impact for our teams.

Responsibilities

• Working with cross-functional legal content teams to identify pain points and propose intelligent, scalable solutions.
• Rapidly prototype, test, and iterate solutions in collaboration with end users and internal stakeholders.
• Participating in automating build, testing, and deployment processes across development, staging of AI and automation solutions.
• Contributing to operational improvements by automating repetitive manual tasks and proactively managing recurring issues.
• Applying a creative and analytical thinking to evaluate problems and communicate technical solutions effectively.
• Operating within an agile development environment, contributing to sprints, standups, and reviews.

Requirements

• Be proficient in at least one of the following programming languages: Python, Java, C#, React, Typescript and be familiar with LLM integration, including APIs
• Have experience in prompt engineering, RAG (Retrieval-Augmented Generation), or vector databases
• Understand software deployment pipelines and CI/CD tools.
• Be comfortable debugging and resolving moderately complex AI bugs.
• Have prior experience in a Software Engineering role or AI developer role within an agile environment.
• Have strong interest in emerging trends in AI, automation, and software development.
• Demonstrate the ability to explain complex technical problems to non-technical audiences.
• Show enthusiasm for learning, experimentation, and continuous improvement.

Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for You
Benefits
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Medical Aid
• Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
• Modern family benefits, including adoption and surrogacy
• Study Leave

About The Business
LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

About the Role

Our client is looking for a hands-on Data Science & Enablement Lead to execute the organisation’s data vision and priorities. This role focuses on operationalising Master Data Management (MDM), data governance, data quality, architecture, and enabling AI, advanced analytics, and data science. You will ensure that enterprise data is accurate, governed, and integrated to support business operations, compliance, and innovation. This includes collaborating across Architecture, Operations, Risk, Governance, and IT to build a scalable, science-ready data ecosystem, integrating data from systems such as Oracle E-Business Suite.

1. Enterprise Data Execution
   • Execute enterprise data strategy aligned with transformation, compliance, and AI/data science goals.
   • Champion data standards, governance processes, and quality metrics across functions.
   • Lead governance forums and implement policies, standards, and procedures.
   • Develop and maintain an enterprise data platform using Microsoft Azure, Microsoft Fabric, or similar.
   • Enable business teams with structured, accessible, and trusted datasets.
2. Master Data Management (MDM)
   • Implement MDM framework across master data domains (items, customers, suppliers, etc.).
   • Harmonize master data for consistency across systems and support analytics/AI.
   • Monitor and improve data quality in terms of completeness, accuracy, and timeliness.
3. Data Integration & Platform Development
   • Design and operate a central data lake according to best practices.
   • Lead data integration from systems, including Oracle E-Business Suite and others.
   • Design and implement secure data access controls using Active Directory groups, ensuring authorised data access.
   • Ensure data is accessible, secure, classified, and ready for AI, analytics, and data science.
4. Governance, Stewardship & Quality
   • Implement data ownership, stewardship, and accountability models.
   • Support stakeholders in compliance with governance controls.
   • Monitor data quality metrics and address issues within SLAs.
   • Ensure data meets ethical standards and is suitable for automated and algorithmic use.
5. Cross-Functional Delivery
   • Collaborate with Operations, Supply Chain, and Data Science teams to deliver integrated, reliable data.
   • Work with Risk & Governance teams to maintain compliance, audit, and AI-risk policies.
   • Enable analytics and data science by supporting structured, interoperable data pipelines.

• Secure & Scalable Data Lake: Implement and maintain a centralized repository for business-critical data with AD/role-based access.
• Integrated Data Pipelines: Implement reliable and secure pipelines from Oracle and other platforms.
• MDM Framework: Deploy MDM for critical entities (customers, products, vendors) to ensure data accuracy and consistency.
• AI/ML Enablement: Support the design and deployment of ML models for predictive analytics, anomaly detection, segmentation.
• Data Access Architecture: Implement security frameworks based on Active Directory and role-based security.
• AI Infrastructure & Insights: Build infrastructure for model deployment, performance monitoring, and automated reporting.
• Team Collaboration: Lead efforts with business units to discover AI/data opportunities and refine models.

Essential

• 8–10+ years in data management, including MDM, governance, integration, and quality initiatives.
• Experience in the full development lifecycle of a Data Lake in a mid to large enterprise.
• Expertise in Oracle E-Business Suite and integrating data from multiple systems.
• Deep knowledge of MDM best practices and AI/ML model building.
• Experience with Microsoft Azure, Microsoft Fabric, or similar platforms.
• Strong project management skills for complex data initiatives.
• Proficiency in Python, SQL, Spark, cloud ETL, and orchestration tools.
• Experience in designing secure AD/role-based access control systems.
• Experience with streaming data integration tools like Apache Kafka or Azure Event Hubs.

Desirable

• Familiarity with data governance frameworks (e.g., DAMA, DCAM).
• Experience with data cataloging/metadata tools.
• Experience in regulated industries such as finance, healthcare, or manufacturing.
• Background in FMCG, manufacturing, retail, or other data-intensive sectors.

• Bachelor's degree in IT, Computer Science, Data Science, or a related field.
• Postgraduate qualifications in data, analytics, or BI are advantageous.

• Skilled in Azure Data Factory, Synapse, Purview, Microsoft Fabric, etc.
• Familiar with Oracle EBS data structures and integration approaches.
• Hands-on experience with MDM tools, ETL platforms, and governance frameworks.
• Strong knowledge of AI/data science needs: labeling, versioning, ethics.
• Proficient in operationalizing analytics pipelines for BI, AI, and ML.
• Experienced with AD-based security and role-based access control.
• Skilled in real-time data streaming solutions (e.g., Kafka, Event Hubs).

• Strategic thinking and end-to-end solution ownership.
• Strong analytical and problem-solving capability.
• Excellent communication and stakeholder engagement skills.
• Leadership and mentorship abilities.
• Results-driven with a strong focus on quality and delivery.

Who are we?
We made Miway to change the way insurance works, to make it work your way, protecting what matters to you and making life a whole lot easier.

Why Miway?We know what it's like to be in an early morning accident on the way to work, to watch helplessly as water floods your business premises, or have your most precious possessions stolen, to lose a truckload of costly stock, or be stranded a long way from home.

So, we created products that put you first, that help you get back on your feet, that make a difference when you're down and dealing with a loss. That's insurance the way it should be. Insurance your way.

That's Miway.You may want to be part of that. Insurance the way it should be. Built around you.It's about you - not about us.

Why Join Us?
This is a rare opportunity to lead at the frontier of actuarial innovation - where data science, machine learning, and software engineering create real-world impact. As Data Science Manager: Telemetry Solutions, you'll help shape the future of insurance.

• Lead actuarial and data science initiatives across telematics, claims, and operational intelligence.
• Work with rich, real-time datasets from connected vehicles and IoT platforms to unlock insights and build predictive systems.
• Collaborate with cross-functional teams - including product, development, and claims - to integrate analytics into key decision-making processes.
• Apply and grow your technical skills across AI, machine learning, and production-grade systems in a dynamic environment.
• Join a forward-looking team that values innovation, ownership, and continuous learning.

If you're technically strong, strategically curious, and passionate about using data science to tackle bold, modern challenges - this is your opportunity to lead the change.

What will you do?
The Data Science Manager: Telemetry Solutions is a future-focused leadership role that bridges actuarial science, data science, machine learning, and engineering. You will lead a multidisciplinary team that leverages telematics and alternative data to deliver intelligent solutions across usage-based insurance (UBI), claims innovation, product development, and dynamic risk assessment.

This role offers a unique opportunity to operate at the intersection of data, strategy, and technology - driving meaningful transformation in how insurance products are developed, risks are understood, and operations are optimised.

Key Responsibilities

• Architect and deploy scalable, real-time systems for ingesting, processing, and analysing high-frequency vehicle sensor and telemetry data.
• Develop and maintain robust APIs and automation tools in Python and C# to support internal platforms and customer-facing applications.
• Oversee the creation and deployment of AI models - including computer vision and large language models (LLMs) - to enhance claims automation and document intelligence.
• Champion innovation within the actuarial domain by blending traditional methodologies with modern MLOps, software engineering, and streaming analytics.
• Manage end-to-end machine learning pipelines using tools like MLflow, ensuring reproducibility, governance, and performance monitoring.
• Collaborate closely with Product, IT, Data Engineering, and Claims teams to embed intelligent analytics into core business processes and customer experiences.
• Mentor and grow a high-performing team of data scientists, and software engineers.
• Provide technical insight and data-driven narratives to support strategic decision-making through dashboards, models, and actuarial reporting.

Qualifications

• Degree in Actuarial Science, Data Science, Statistics, Computer Science, or a related field (Honours or Master's preferred).

Experience

• Minimum of 5 years' experience in data science, or data engineering roles, preferably in a telematics-driven insurance environment.
• Proficient in Python and C#, with a solid foundation in object-oriented programming and API development.
• Advanced SQL skills, including data processing, database management, and query optimisation (Essential).
• Practical experience using Git for version control and collaboration(Essential).
• Hands-on experience with machine learning libraries and frameworks such as XGBoost, spaCy, Hugging Face, TensorFlow, or PyTorch.
• Proven ability to deploy and monitor models using MLflow and related MLOps tools.
• Experience with large-scale datasets, ideally from IoT or telematics sources.
• Working knowledge of Docker for containerisation (Intermediate to Advanced – Advantageous).
• Exposure to messaging systems such as RabbitMQ (Advantageous).
• Strong understanding of software engineering principles, including object-oriented design and clean code practices.
• Solid business acumen with the ability to translate technical work into strategic outcomes.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Demonstrated leadership experience and a passion for mentoring cross- functional teams.
• Strong analytical and problem-solving skills, with the ability to extract insights from high-volume, high-dimensional data

Knowledge And Skills
Actuarial Problem Solving

Issues management

Business knowledge

Business analysis

Personal Attributes
Self-development - Contributing independently

Interpersonal savvy - Contributing independently

Nimble learning - Contributing independently

Tech savvy - Contributing independently

Core Competencies
Cultivates innovation - Contributing independently

Customer focus - Contributing independently

Drives results - Contributing independently

Collaborates - Contributing independently

Being resilient - Contributing independently

Build a successful career with us
We're all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.

Turnaround time
The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.

Deadline to apply: 19 September 2025.
Our commitment to transformation
At MiWay we believe in cultivating a positive and dynamic working environment that gives you freedom and opportunity to succeed. MiWay is committed to transformation and embracing diversity. This is what drives us to achieve a multicultural workplace with employment equity as a key goal to create an inclusive workforce, reflective of the demographics of our society.

Lead Strategic AI Vision & PropTech Innovation

Earn R100,000/month | Hybrid or Remote | SA Citizens

Pioneer future-ready AI for the African real estate sector. As a Specialist AI Developer (3-5yrs exp), you'll shape PropTech's autonomous, intelligent agent roadmap—adding value across property management, leasing, sustainability, and client experience.

The role blends advanced AI solution development (C#, MS SQL), public thought leadership, and partnerships to keep our platforms at the innovation frontier.

Your tech vision will directly drive industry-leading PropTech solutions, collaborating with top innovators, AI labs, and leading edge partners.

Apply now or refer a genuine AI trailblazer who thrives on making real

Preffered Requirements: Associate or Bachelor’s degree in Artificial Intelligence or related field. At least 3-5 years of experience in designing and developing AI software. Strong knowledge of AI algorithms, techniques and technologies. Proficiency in coding languages such as Python, C++, Java, etc. Required specialist soft skills: Excellent problem solving and analytical skills. Strong communication, collaboration and interpersonal skills. Ability to work independently and in a team environment. Highly organized and detail oriented. Creative and innovative mindset. Core Competencies: Advise stakeholders and executives on a broad range of technology, strategy, and policy issues associated with AI Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation Manage a team in conducting assessments of the AI and automation market and competitor landscape Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation (SEND CV IN PDF FORMAT)