159 Big Data Analytics jobs in South Africa

Get AI-powered advice on this job and more exclusive features. Senior Recruiting Recruitment specializing in placement of Actuarial and Analytical Professionals 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/Ph D 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. Seniority level Mid-Senior level Employment type Full-time Job function Business Development and Other Industries Data Infrastructure and Analytics #J-18808-Ljbffr

Beauparc Mogalakwena, Limpopo, South Africa

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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.
  
  

About The Role

Main Responsibilities:

• 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.
  
  

Requirements

• 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
  
  

About You

About Us

Join us on the journey….

Over the past 30 years, Beauparc has continued to grow and acquire businesses that all share a very similar vision and set of values. We’re now a group of almost 3000 people, all contributing to that growth and success.

Whilst Beauparc is the parent company to numerous brands, we all share an ambitious vision for the future. Our primary goal is to ensure the safety and wellbeing of our people and connected partners is front and centre. As a team, we’re safer together. We deliver our customers with a partnership approach to managing their resources responsibly. We constantly push the boundaries of innovation. What’s good today can be better tomorrow.

Beauparc is not just a company, it’s a resource recovery business. Over the past three decades we’ve grown and diversified significantly, we believe that great leadership is rooted in strong values. As leaders within this industry, we’re committed to shaping a better future for our friends, families and communities. Our philosophy remains unchanged, balancing customer satisfaction with environmentally sustainable practices. Exceptional customer service, and unwavering dedication to sustainability are the cornerstones of our business.

Our journey is dependent upon talented, passionate, and dedicated people that constantly strive and challenge each other for better outcomes.

Take the first step today and join us on the journey……….

Beauparc aims to attract and retain a skilled and diverse workforce that best represents the talent available in the communities in which our assets are located and our employees reside.

(DE&I Policy Statement)Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Utilities

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Beauparc Mogalakwena, Limpopo, South Africa Join or sign in to find your next job 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. About The RoleMain Responsibilities: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. RequirementsEducation: 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 About YouAbout UsJoin us on the journey….Over the past 30 years, Beauparc has continued to grow and acquire businesses that all share a very similar vision and set of values. We’re now a group of almost 3000 people, all contributing to that growth and success.Whilst Beauparc is the parent company to numerous brands, we all share an ambitious vision for the future. Our primary goal is to ensure the safety and wellbeing of our people and connected partners is front and centre. As a team, we’re safer together. We deliver our customers with a partnership approach to managing their resources responsibly. We constantly push the boundaries of innovation. What’s good today can be better tomorrow.Beauparc is not just a company, it’s a resource recovery business. Over the past three decades we’ve grown and diversified significantly, we believe that great leadership is rooted in strong values. As leaders within this industry, we’re committed to shaping a better future for our friends, families and communities. Our philosophy remains unchanged, balancing customer satisfaction with environmentally sustainable practices. Exceptional customer service, and unwavering dedication to sustainability are the cornerstones of our business.Our journey is dependent upon talented, passionate, and dedicated people that constantly strive and challenge each other for better outcomes.Take the first step today and join us on the journey……….Beauparc aims to attract and retain a skilled and diverse workforce that best represents the talent available in the communities in which our assets are located and our employees reside.(DE&I Policy Statement)Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Utilities Referrals increase your chances of interviewing at Beauparc by 2x Sign in to set job alerts for “Data Science Specialist” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Calling all AI explorers! Join a cutting-edge lab where your Gen AI models shape the future. From LLMs to data pipelines, you’ll help build intelligence that evolves . A leading tech-driven organisation is seeking a Generative AI/Data Science specialist to join their innovation lab. This role involves deep AI model development and strong data engineering fundamentals. You’ll focus on building and refining LLM-powered solutions , emphasizing RAG (Retrieval Augmented Generation) frameworks using tools like Lang Chain and Llama Index . You will partner with data engineers to ensure clean, scalable data pipelines , work on ETL processes and dimensional models, and deploy AI models into live environments with performance and scalability in mind. Additionally, you’ll experiment with new Gen AI techniques, support MLOps efforts, and communicate findings to both technical and non-technical stakeholders. Skills & Experience: 3+ years’ experience in AI/ML, with at least 1–2 years specifically in Generative AI Proficiency with Python , SQL , and libraries like Pandas and Num Py Practical experience with Lang Chain , Llama Index , or other LLM ecosystems Strong background in ETL , data engineering , and dimensional modelling Experience working across cloud platforms (AWS, Azure, or GCP) Familiarity with Docker , Kubernetes , and model deployment best practices Exposure to vector databases , Spark , or Hadoop is advantageous Confident communicator who can translate complex AI concepts into actionable insights Qualifications: Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related fields Preferred certifications (not required but advantageous): AWS Certified Machine Learning / AI Practitioner GCP Professional ML Engineer / Associate Cloud Engineer Microsoft Azure AI Engineer / Data Scientist If you’re ready to join a team where innovation thrives and your AI models will thrive , get in touch for a confidential chat. Because in this world, it’s not about surviving the data jungle—it’s about engineering the future of intelligence . Contact Kauthar Marcus at or , quoting the Ref: CTI005560 . Connect with us on and Register your CV to create a profile or view all our Jobs in Information Technology. We are one of the leading Developer Recruitment Agencies in Cape Town. Let us assist you with your IT careers, including roles for C# Developers, C++ Developers, Java Developers,. Net Developers, Angular Developers, and Full Stack Developers. #J-18808-Ljbffr

Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet.We're a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it's only right that we ended up with the name ‘Kuda' which means ‘love' in Shona, a language spoken in the southern part of Africa.We're giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices.We've raised over $90 million from some of the world's most respected institutional investors, and we're rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.Role OverviewAs the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also supporting various other business functions by providing data-driven insights and predictive capabilities.You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production in a way that supports live, real-time decisions, enhancing Kuda's ability to serve customers with speed and precision.Your role will require collaboration across multiple cross-functional teams, including product, business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science.Key to your success will be your ability to translate business challenges into data-driven solutions while balancing technical execution with strategic vision. Your leadership will help scale Kuda's impact, bringing high-quality, machine learning-based credit solutions to millions of customers across Nigeria and beyond.Key Responsibilities Team Leadership: Manage and mentor a team of data scientists, fostering a collaborative and innovative environment Model Development: Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and collections Cross-Functional Collaboration: Work closely with product, engineering, and compliance teams to integrate models into production systems Data Analysis: Analyze large, complex datasets to extract actionable insights and inform business strategies Model Monitoring: Oversee the performance of deployed models, ensuring they meet business objectives and regulatory standards Stakeholder Communication: Present findings and recommendations to senior leadership and other stakeholders Continuous Improvement: Stay abreast of industry trends and emerging technologies to continuously enhance model performance and team capabilities RequirementsEducation: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field Experience: Minimum of 6 years in data science, with at least 2 years in a leadership role managing teams and projects Technical Skills: Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, Tensor Flow, Py Torch). Strong knowledge of cloud environments and services (AWS, Google Cloud) Domain Knowledge: Experience in credit risk modeling, fraud detection, or financial services is highly desirable Leadership: Strong ability to lead teams, manage projects, and communicate effectively with both technical and non-technical stakeholders Regulatory Awareness: Understanding of financial regulations and compliance standards, particularly in the Nigerian context. BenefitsWhy join Kuda?At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:A great and upbeat work environment populated by a multinational teamPensionCareer Development & growthCompetitive annual leave plus bank holidaysCompetitive paid time off (Parental, Moving day, Birthday, Study leave etc)Group life insuranceMedical insuranceWell-fare package (Wedding, Compassionate and etc)Perkbox️Goalr - employee wellness appAward winning L&D trainingWe are advocates of work-life balance, working in a hybrid in office scheduleKuda is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.We don't regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know. #J-18808-Ljbffr

Beauparc Mogalakwena, Limpopo, South Africa Join or sign in to find your next job 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. About The RoleMain Responsibilities: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. RequirementsEducation: 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 About YouAbout UsJoin us on the journey….Over the past 30 years, Beauparc has continued to grow and acquire businesses that all share a very similar vision and set of values. We’re now a group of almost 3000 people, all contributing to that growth and success.Whilst Beauparc is the parent company to numerous brands, we all share an ambitious vision for the future. Our primary goal is to ensure the safety and wellbeing of our people and connected partners is front and centre. As a team, we’re safer together. We deliver our customers with a partnership approach to managing their resources responsibly. We constantly push the boundaries of innovation. What’s good today can be better tomorrow.Beauparc is not just a company, it’s a resource recovery business. Over the past three decades we’ve grown and diversified significantly, we believe that great leadership is rooted in strong values. As leaders within this industry, we’re committed to shaping a better future for our friends, families and communities. Our philosophy remains unchanged, balancing customer satisfaction with environmentally sustainable practices. Exceptional customer service, and unwavering dedication to sustainability are the cornerstones of our business.Our journey is dependent upon talented, passionate, and dedicated people that constantly strive and challenge each other for better outcomes.Take the first step today and join us on the journey……….Beauparc aims to attract and retain a skilled and diverse workforce that best represents the talent available in the communities in which our assets are located and our employees reside.(DE&I Policy Statement)Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Utilities Referrals increase your chances of interviewing at Beauparc by 2x Sign in to set job alerts for “Data Science Specialist” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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:

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Sign in to set job alerts for “Machine Learning Engineer” roles. Software Quality Assurance Engineer / Lead - Digital/AI/Data

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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Join to apply for the Head of Data Science role at Di O Rara Personnel

3 weeks ago Be among the first 25 applicants

Join to apply for the Head of Data Science role at Di O Rara Personnel

We have an exciting opportunity for a Head of Advanced Data Science role in an intelligence solutions company. Our client provides services and technologies to help organizations collect, analyze, and utilize data to gain insights and make better decisions. They are looking to hire an experienced candidate who will play an important role in shaping the future of their data science and AI strategy. The successful candidate’s work will be the cornerstone of innovation, transforming complex data into actionable insights that drive significant business impact for clients across various industries. This is more than just a leadership position; it’s an opportunity to pioneer the next generation of predictive and prescriptive analytics solutions.

Requirements

Qualifications: BCom/BSc Honors/MCom/MSc/PhD Statistics, Mathematics or computer science (must have proven machine learning building experience)

Experience: 10 years or more relevant analytical experience with at least 3 in ML/AI

Technical Skills

• Data Analysis: Exceptional ability to work with, analyse, interpret, and develop insights products on data.
• Machine Learning: Strong understanding and practical application of statistical concepts and machine learning techniques.
• Technical Proficiency: Expertise in Python, R & SQL required with experience in TensorFlow, Hugging Face, FastHTML, FastAPI, Flask and Django advantageous.
• Familiarity with Docker containers and predictive model deployment in Microsoft Azure or similar.
• Working with virtualised applications and programming environments.
• Adaptability: Ability to adjust to different programming environments based on the project needs.
• Professional approach to report writing, documentation and other written communications.
• Familiarity with Agile concepts and their application in a Data Science environment.
  
  

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If you have not received any response within two weeks from when you applied, please consider your application unsuccessful. However, your CV will be kept on our database for any other suitable positions.

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