104 Model Evaluation jobs in South Africa

SWATX Cape Town, Western Cape, South Africa

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

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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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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