103 Data Science jobs in South Africa

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Die sovanta AG optimiert den Einsatz von SAP mit Hilfe von Software Development, UX Design und künstlicher Intelligenz.

Du hast Lust in einem innovativen Arbeitsumfeld mit neusten Technologien zu arbeiten? Teamspirit, flexible Arbeitszeiten und eigene Projekte sind dir wichtig? Dann freuen wir uns auf deine Bewerbung!

Was dich bei sovanta erwartet

• Zukunftsorientiertes Arbeiten mit modernen Cloud- (AWS/Azure), SAP-, Web- und mobilen Technologien
• Du kannst nach individuellem Interesse eigene Projekte wählen und dabei einen dieser Schwerpunkte legen: Natural Language Processing, Predictive Analytics oder Computer Vision
• Bei sovanta bist du von Anfang an fester Bestandteil deines Teams und sammelst neben dem Studium wertvolle Berufserfahrung
• Dank unserem strukturierten Onboarding wirst du dich schnell bei uns zurechtfinden und lernst darüber hinaus auch andere Abteilungen kennen
• Beim Welcome Lunch lernst du direkt viele andere sovantees kennen
• Ein Mentor* steht dir ab Tag eins zur Seite und unterstützt dich bei allen fachlichen und organisatorischen Fragen
• Deine Arbeitszeiten passen wir gemeinsam mit dir flexibel an deine Studienveranstaltungen an
• Wir leben von einem engen Austausch und legen viel Wert auf unsere regelmäßigen Knowledge-Sharing-Sessions, Unit Meetings und Feedbackgespräche
• Sommerfeste, X-Mas Party oder Lunch Roulette – auf dich warten Company Events vom Feinsten, lass dich überraschen!
• Sei bei unseren Health Days dabei und sammle wertvolle Tipps für einen gesünderen Alltag oder drehe eine Runde mit den sovanta Bikes
• Werde Teil der sovanta-Familie – unser großartiges Team kann es kaum erwarten, dich schon bald zu begrüßen!
  
  

• Du unterstützt unsere Data Scientists* beim Umsetzen kleiner PoCs sowie komplexen Kundenprojekten
• Du unterstützt bei spannenden Aufgaben im Bereich Data Science und Machine Learning
• Bei innovativen Kundenprojekten wirst du eingebunden und arbeitest dort mit den neusten Technologien (z.B. GenAI)
• Du übernimmst die Recherche, Evaluation und Einbindung von state-of-the-art ML-Modellen und -Techniken
• Du trainierst und optimierst eigene, aufgabenspezifische Modelle
• Du begleitest Projekte im gesamten Entwicklungszyklus: von Anforderungsaufnahme über Design und Entwicklung bis hin zu Dokumentation und Deployment
  
  

• Du studierst im Bereich Data/Web Science, Informatik, Wirtschaftsinformatik oder vergleichbar und hast hervorragende Noten
• Du hast Zeit und Lust unser Team für mind. 14 Std. / Woche zu unterstützen
• Du kannst solide Grundkenntnisse von Methoden und Werkzeugen aus dem Bereich Data Science vorweisen
• Du hast bereits erste Erfahrungen in mindestens einer der nachfolgenden Programmiersprachen: Python, R oder Java
• Du brennst für das Arbeiten mit großen Datenmengen und Datenbanken
• Dich zeichnet eine kreative Herangehensweise an die immer komplexer werdende Geschäfts- und IT-Welt aus
• Gute Deutsch- und Englischkenntnisse runden dein Profil ab
  
  

• Seniority level Internship

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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Alberton, Gauteng, South Africa 1 week ago

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Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Experience: Over 3 years of experience in data analytics
• Technical Skills: Proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. A focus on Power BI experience.
• Dashboard Creation Expertise: Extensive experience in designing and implementing effective dashboards that provide real-time insights and enable the business to track performance and make informed decisions.
• Additional Knowledge: Experience in strategic planning using quantitative techniques, managing large data volumes, and advanced statistical techniques.
• Interpersonal Skills: Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
• Experience using Data Science algorithms and methods to solve business problems using R or Python
• Excellent capability in SQL to extract data from databases
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Utilities

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Department: Sales and Delivery Team - Empower

Industry: Information Technology & Services, Computer Software, Management Consulting

Location: South Africa

Experience Range :8+ years

Basic Qualification: Master/Bachelor of Engineering or Equivalent

Travel Requirements: Not required

Website :

Exusia, a cutting-edge digital transformation company, seeks a Data Scientist to join our global delivery team's Data Engineering & Analytics practice around the world.

What’s the Role?

The Data Scientist role will be part of our Data Engineering & Analytics practice and will be focused on delivering best of breed solutions to our clients leveraging Advanced Analytics & Machine Learning tools and techniques.The candidate will also be part of the practice team and contribute to Competency development, driving innovation through various internal initiatives within the company. Candidate should have more than 8 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning

Responsibilities:

• Work on client projects to deliver Data insights using AI, ML and Advanced analytics techniques
• Architect, Build & Deploy scalable Machine Learning models both on premise & on cloud platforms
• Work with the business stakeholders to Identify problem statement, check availability of data and identify appropriate solutions to provide insights to address the problems and deliver better outcomes
• Work closely with the data engineering teams to source and ingest data into data lakes
• Look at semi structured and unstructured data and propose solutions to translate them into structured data format to provide better insights
• Collaborate with S & D leadership to propose and execute ML POCs to deliver quick wins for the clients
• Providing mentorship to junior resources within the data scientist community

Mandatory Skills:

• Should have 6+ years of experience working in Business Intelligence, Analytics and Machine Learning
• Extensive hands-on experience analyzing data with SQL
• Experience in data mining of large data sets using tools like SAS / R / Python to identify patterns
• Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing & cleaning data
• Experience using BI tools like Tableau or PowerBI for self-service analysis and Visualization of data
• Collaborate with data engineering teams to ingest unstructured & semi structured data into data lakes
• Identify data sets, attributes and patterns to propose appropriate ML approach for a given problem
• Strong fundamentals in statistics and its application for building and validating ML models
• Understanding of Supervised, Unsupervised and Reinforcement learning approaches
• Strong experience in using Regression / Classification / Clustering algorithms and their application for appropriate use cases
• Build models using R, Python or Cloud native ML offerings from AWS, AZURE and GCP platforms
• Deploy ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve
• Problem-solving skills along with good interpersonal & communication skills

Nice-to-Have Skills

• Exposure to Azure, AWS and Google Cloud Platforms with hands on exposure to ML service offerings
• Experience working with teams located in multiple locations across the globe
• Knowledge and understanding of various Data repositories, Databases, ETL and BI tools and data assets hosted on Hadoop or cloud platforms
• Agile development experience & collaborating with data engineering teams
• Familiarity with Spark, Scala and distributed data processing platforms will be a big advantage
• Ability to work with tools like Jupyter / Databricks notebooks to interactively work with data sets

Exusia, Inc. is committed to maintaining a dynamic work culture. We offer an excellent compensation and benefits package to all employees.

About Exusia:

Exusia ( is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business outcomes and providing strategy and execution capabilities around digital, analytics and cloud solutions. The company has established its leadership position by solving some of the world's largest and most complex data engineering and analytical problems in the healthcare, financial, telecommunications, consumer products and high technology industries.

Exusia’s mission is to transform the world through the innovative use of information.

Over the past 3 years, Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world.Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia and Africa. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and it's entrepreneurship. The company is headquartered in Miami, Florida, United States with development centers in India.

Interested applicants should apply by forwarding their CV to:

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Business Consulting and Services

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City of Johannesburg, Gauteng, South Africa 2 days ago

Johannesburg, Gauteng, South Africa ZAR85,000.00-ZAR110,000.00 6 days ago

Johannesburg, Gauteng, South Africa 1 month ago

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Job Purpose:

To support the business in identifying opportunities for different segments, and work to use identified insights to design compelling, disruptive and commercially viable Client Value Propositions for the company Insurance offerings.

Job Responsibilities:

• Provide input on activities for relevant CX reports by collecting information on status and results.
• Co-ordinate tasks, resources and internal and external stakeholders to support the implementation of strategic objectives.
• Meet financial objectives by co-ordinating activities in line with budget/target requirements.
• Design and Develop Client Value Proposition (CVP) by ensuring that the CVP’s resonate with the customers’ needs and while aligning with commercial imperatives.
• Identify and engage with all stakeholders to ensure implementation of CVP activities.
• Build and maintain collaborative relationships with stakeholders to deliver on CVP objectives.
• Understand customer needs and market trends.
• Design and develop market leading customer value propositions that are based on customer needs, behaviour, and potential to optimize both customer value proposition and customer experience across our target segments and population groups.
• Ensure that the CVPs resonate with the customers’ needs and also with commercial imperatives.
• Monitor, analyse and articulate in detail competitor activity and emerging market trends to inform the CVPs and ensure the designs remain competitive and up to date.
• Leverage Analytics, MI & Customer Experience to build a fact-based understanding of customer needs and use these insights to support or disprove particular areas of prioritization, focus and courses of action.
• Ensure alignment with the segment customer value proposition.
• Monitor and provide feedback to enhance customer value proposition.
• Contribute to Segment and Proposition strategy.
• Lead and ensure the implementation of the CVP from end to end.
• Generate concise business plans in support of the CVPs.
• Work collaboratively with downstream colleagues with responsibility for building elements of the CVP to a definitive timetable.
• Contribute to a culture conducive to the achievement of transformation goals by participating in the company’s culture building initiatives (e.g. staff surveys, etc.).
• Participate and support corporate social responsibility initiatives for the achievement of key business strategies.
• Identify and recommend opportunities to enhance processes, systems and policies and support implementation of new processes, policies and systems.
• Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
• Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed, experience practiced and certification obtained and/or maintained within specified time frames.
• Ensure information is provided correctly to stakeholders by maintaining knowledge sharing with the team.

Essential Qualifications:

• Advanced Diplomas/National 1st Degrees

Preferred Qualification:

• Post Graduate Diploma: Marketing Management

Type of Exposure:

• Conducting root cause analysis
• Analysing situations or data that requires an in-depth evaluation of multiple factors
• Influencing stakeholders to obtain buy-in for concepts and ideas.
• Challenging the status quo with a view to improving the environment or people's understanding
• Communicating standards to others
• Working with a group to identify alternative solutions to a problem
• Interacting with diverse people

Minimum Experience:

• Overall 7 years + experience in Client Experience, Customer Value Propositions and Customer Insights.
• 5 years’ experience in developing, implementing and being accountable for crafting of CVP, take to market strategy and business plan.
• 6 years’ experience in roles within market insights, consumer research or product management.
• 4 years’ + experience in Insurance and/or financial service industry.

Technical / Professional Knowledge:

• Business terms and definitions
• Cluster specific operations
• Communication Strategies
• Governance, Risk and Controls
• Principles of financial management
• Principles of project management
• Research methodology
• Decision-making process
• Data and Business analysis
• Competitive Intelligence

Behavioural Competencies:

• Continuous Learning
• Customer Focus
• Work Standards
• Building partnerships
• Planning and Organizing
• Technical/Professional Knowledge and Skills

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Lead Data Science & Analytics – Drive Innovation!

Are you a data-driven leader ready to shape the future of analytics? We’re looking for a Data Science & Analytics Manager to lead a high-performing team and drive data-powered decision-making in a cutting-edge environment.

What You’ll Do:

• Build and lead a team of Data Scientists & Analysts.
• Develop and execute a strategic data science vision.
• Work with stakeholders to drive innovation through data.
• Implement machine learning & predictive analytics models.
• Ensure scalable, high-impact data solutions.

What You’ll Need:

• Degree/Masters/PhD in a quantitative field (Actuarial Science, Statistics, Computer Science, etc.).
• 10+ years of hands-on data science experience .
• Expertise in Python, SQL, Power BI, Azure, and ML frameworks .
• Strong background in big data, cloud infrastructure, and predictive modeling .
• Proven ability to bring data science solutions into production .

Why Join Us?

• Lead a data-driven transformation.
• Work with cutting-edge technologies.
• Collaborate with top industry experts.
• Competitive salary & growth opportunities.

Mid-Senior level

Full-time

Business Development and Other

Data Infrastructure and Analytics

• Collaborate closely with the data science manager to establish and execute the team's technical vision, strategy, and goals.
• Provide effective leadership to the data science team, fostering a collaborative and innovative environment that encourages creativity and growth.
• Guide and mentor team members, promoting their professional development and enhancing their skills in AI, data science, machine learning, and related technologies.
• Effectively manage and allocate resources, ensuring efficient project execution, and alignment with business goals.
• Continuously align delivery to the company and Development & Engineering team strategy and planning.

Delivery of AI and Data Science Solutions

• Lead and contribute to the end-to-end development of AI solutions using data science and machine learning, ensuring they address real-world challenges in telemetry, IoT, and Engineering domains, as determined by business.
• Ensure delivery of solutions on time, in budget, with the desired functionality, at the defined quality level in a sustainable way.
• Collaborate closely with cross-functional teams to gather requirements, design solutions, and integrate insights into operational processes.
• In collaboration with field experts, coordinate the design and implementation of generative models, contributing to enhanced vehicle tracking, recovery operations, and operational efficiency.

Best Practice Quality and Testing

• Uphold the highest standards of quality in AI and Data Science solutions by implementing best practices in data preparation, model development, validation, data quality, etc.
• Oversee rigorous testing methodologies to validate the accuracy, reliability, and effectiveness of developed models, ensuring they meet business requirements.

System Maintenance and Support

• Take responsibility for the ongoing maintenance and optimization of AI/DS products, services, models, and solutions, ensuring they remain effective and aligned with changing business needs.
• Collaborate with the IT and other engineering teams to address any technical issues, ensure system stability, and provide timely support when required.

Knowledge