<p data-start="286" data-end="572">We are looking for a highly analytical and commercially minded Data Scientist to join our team. The ideal candidate will have strong experience in financial modeling, forecasting, and data visualization, with the ability to turn complex financial data into actionable business insights.</p><p data-start="574" data-end="743">This role requires an expert-level Power BI user with experience working within finance teams and a solid understanding of actuarial principles and statistical analysis.</p><p data-start="745" data-end="921">As part of the recruitment process, shortlisted candidates will be required to complete and submit a Power BI dashboard assessment using financial data provided by the company.</p><hr data-start="923" data-end="926" /><h2 data-section-id="18w7bso" data-start="928" data-end="951">Key Responsibilities</h2><ul data-start="953" data-end="1684"><li data-section-id="coqlnk" data-start="953" data-end="1042">Develop, maintain, and optimize financial dashboards and reporting tools using Power BI</li><li data-section-id="1sqsfo1" data-start="1043" data-end="1112">Analyze large datasets to identify trends, risks, and opportunities</li><li data-section-id="1nl279g" data-start="1113" data-end="1209">Build and maintain financial models and forecasting tools to support strategic decision-making</li><li data-section-id="13n6boa" data-start="1210" data-end="1314">Work closely with finance and operational teams to improve reporting accuracy and business performance</li><li data-section-id="1twwwhh" data-start="1315" data-end="1410">Interpret complex financial and operational data into meaningful insights and recommendations</li><li data-section-id="1d3svpt" data-start="1411" data-end="1485">Create automated reporting solutions and improve existing data processes</li><li data-section-id="y4mcx1" data-start="1486" data-end="1534">Extract, manipulate, and manage data using SQL</li><li data-section-id="fd4vn" data-start="1535" data-end="1594">Ensure data integrity, governance, and reporting accuracy</li><li data-section-id="1ouulq0" data-start="1595" data-end="1684">Present findings and recommendations to stakeholders in a clear and professional manner</li></ul><hr data-start="1686" data-end="1689" /><h2 data-section-id="w1j6vz" data-start="1691" data-end="1714">Minimum Requirements</h2><ul data-start="1716" data-end="2394"><li data-section-id="bhjebz" data-start="1716" data-end="1865">Bachelor&rsquo;s Degree in:<ul data-start="1742" data-end="1865"><li data-section-id="1qonj7w" data-start="1742" data-end="1756">Data Science</li><li data-section-id="81m808" data-start="1759" data-end="1778">Actuarial Science</li><li data-section-id="wt3kb1" data-start="1781" data-end="1793">Statistics</li><li data-section-id="rnalek" data-start="1796" data-end="1809">Mathematics</li><li data-section-id="14a7y0w" data-start="1812" data-end="1821">Finance</li><li data-section-id="n5uyxn" data-start="1824" data-end="1842">Computer Science</li><li data-section-id="2307tl" data-start="1845" data-end="1865">or a related field</li></ul></li><li data-section-id="1qd5fcc" data-start="1866" data-end="1944">3&ndash;8 years&rsquo; relevant experience in a Data Science or Financial Analytics role</li><li data-section-id="xquggu" data-start="1945" data-end="2001">Proven experience working within a finance environment</li><li data-section-id="6fk4fa" data-start="2002" data-end="2120">Strong track record in:<ul data-start="2030" data-end="2120"><li data-section-id="wyv5vy" data-start="2030" data-end="2050">Financial modeling</li><li data-section-id="1jj6utv" data-start="2053" data-end="2066">Forecasting</li><li data-section-id="xhi0kq" data-start="2069" data-end="2084">Data analysis</li><li data-section-id="1ohmcl1" data-start="2087" data-end="2120">Business intelligence reporting</li></ul></li><li data-section-id="pj2xjr" data-start="2121" data-end="2194">Advanced Power BI skills (dashboard development and data visualization)</li><li data-section-id="yj5h1u" data-start="2195" data-end="2232">Strong SQL knowledge and experience</li><li data-section-id="luzwin" data-start="2233" data-end="2290">Actuarial background or exposure is highly advantageous</li><li data-section-id="hgajh6" data-start="2291" data-end="2337">Strong analytical and problem-solving skills</li><li data-section-id="1ttki8p" data-start="2338" data-end="2394">Excellent attention to detail and communication skills</li></ul><p>Please send your CV to <a href="mailto:*****@*****.co.za">*****@*****.co.za</a>&nbsp;</p>

<p>We are looking for a skilled and forward-thinking <strong>Data Scientist</strong> to join our team and help design, build, and deploy intelligent solutions across modern cloud and agent-based ecosystems. This role will focus on developing scalable AI-driven applications, working across data, backend services, and user-facing solutions to support business innovation and decision-making.</p><p>The ideal candidate will have strong experience in applied AI and machine learning, with exposure to modern agentic platforms and cloud AI tooling such as <strong>Copilot Studio, Azure AI Foundry, Amazon Bedrock, Claude Code, Gemini, and BMAD</strong> for building and embedding agents. The environment is technology-flexible, and the team is not limited to a specific programming language, as long as the candidate is comfortable working in modern object-oriented ecosystems.</p><p>What youll do</p><ul><li>Design, develop, and deploy data science and AI solutions to solve business problems and improve decision-making.</li><li>Build and embed intelligent agents using modern AI platforms and tools.</li><li>Develop and operationalise machine learning, generative AI, and agent-based solutions in enterprise environments.</li><li>Work closely with engineering teams to integrate AI capabilities into backend services and digital platforms.</li><li>Contribute to the design of scalable backend services using a microservices architecture.</li><li>Collaborate with frontend teams where needed to support AI-enabled web applications.</li><li>Translate business requirements into data science models, AI solutions, and production-ready services.</li><li>Participate in solution design, experimentation, testing, and continuous improvement of AI products.</li><li>Ensure solutions are secure, scalable, maintainable, and aligned to architectural standards.</li><li>Support the deployment and optimisation of AI solutions across cloud-native environments.</li></ul><p>Technical environment</p><p><strong>AI / Agent Tooling</strong><br />Experience with one or more of the following is advantageous:</p><ul><li>Copilot Studio</li><li>Azure AI Foundry</li><li>Amazon Bedrock</li><li>Claude Code</li><li>Gemini</li><li>BMAD</li></ul><p><strong>Backend / Microservices</strong><br />Experience with one or more of the following:</p><ul><li>Java with Spring Boot</li><li>Python</li><li>Go</li><li>Rust</li></ul><p><strong>Frontend</strong></p><ul><li>Angular for web development</li></ul><p><strong>Architecture</strong></p><ul><li>Backend services implemented as microservices</li></ul><p>Your expertise</p><ul><li>Experience in <strong>Data Science</strong>, <strong>Machine Learning</strong>, and applied AI solution delivery.</li><li>Good understanding of <strong>LLMs, AI agents, prompt design, and intelligent automation</strong>.</li><li>Experience building or supporting <strong>AI-enabled applications</strong> in a production environment.</li><li>Strong coding ability in at least one modern object-oriented or backend language.</li><li>Experience working in <strong>microservices-based architectures</strong>.</li><li>Ability to work across technical teams including engineering, architecture, and frontend delivery.</li><li>Understanding of cloud-based AI platforms and modern enterprise solution design.</li><li>Strong problem-solving skills and the ability to convert complex business challenges into practical technical solutions.</li></ul><p>Qualifications</p><ul><li>Relevant qualification in <strong>Data Science, Computer Science, Engineering, Mathematics, Statistics</strong>, or a related field.</li><li>Relevant AI / cloud / machine learning certifications would be advantageous.</li></ul><p>Competencies</p><ul><li>Strong analytical and problem-solving ability.</li><li>Comfortable working in a fast-paced, evolving technical environment.</li><li>Able to work across multiple technologies and adapt to new tools quickly.</li><li>Strong communication and collaboration skills.</li><li>Innovative mindset with a passion for emerging AI technologies.</li><li>Results-driven, curious, and solutions-oriented.</li></ul>

Job Description: Build advanced statistical, econometric, and machine learning models in Python or R Translate complex data into clear, actionable business insights Partner with senior stakeholders to define metrics, solve enterprise-level challenges, and unlock new revenue opportunities Apply deep learning, predictive modelling, text analytics, and automation to real-world problems Ensure ethical, compliant, and privacy-first use of data while operating within approved modelling frameworks Your work wont sit on a shelf it will be productionised, maintained, and embedded into core business operations. Skills & Experience: Have 5 years experience in a senior data science role, ideally with exposure to AI or platform-driven transformation Hold a degree in Mathematical Sciences, Statistics, Engineering, Computer Science, Econometrics, Physics, or Actuarial Science (postgraduate qualification preferred) Love mentoring others and contributing as a subject matter expert Are curious about emerging technologies and passionate about innovation Excel at stakeholder engagement , turning technical insights into business value Proactive, solutions‑focused mindset Apply now!

We are looking for a highly analytical and commercially minded Data Scientist to join our team. The ideal candidate will have strong experience in financial modeling, forecasting, and data visualization, with the ability to turn complex financial data into actionable business insights. This role requires an expert-level Power BI user with experience working within finance teams and a solid understanding of actuarial principles and statistical analysis. As part of the recruitment process, shortlisted candidates will be required to complete and submit a Power BI dashboard assessment using financial data provided by the company. Key Responsibilities Develop, maintain, and optimize financial dashboards and reporting tools using Power BI Analyze large datasets to identify trends, risks, and opportunities Build and maintain financial models and forecasting tools to support strategic decision-making Work closely with finance and operational teams to improve reporting accuracy and business performance Interpret complex financial and operational data into meaningful insights and recommendations Create automated reporting solutions and improve existing data processes Extract, manipulate, and manage data using SQL Ensure data integrity, governance, and reporting accuracy Present findings and recommendations to stakeholders in a clear and professional manner Minimum Requirements Bachelors Degree in: Data Science Actuarial Science Statistics Mathematics Finance Computer Science or a related field 38 years relevant experience in a Data Science or Financial Analytics role Proven experience working within a finance environment Strong track record in: Financial modeling Forecasting Data analysis Business intelligence reporting Advanced Power BI skills (dashboard development and data visualization) Strong SQL knowledge and experience Actuarial background or exposure is highly advantageous Strong analytical and problem-solving skills Excellent attention to detail and communication skills

PBT Group is seeking a Senior Data Scientist to spearhead the development of retail Analytical Data Assets (ADA) and associated strategies for key 'Use Cases' using data analysis, predictive modeling, simulation, and optimization techniques to identify trends, opportunities, and risks. Responsibilities: Drive the evolution of Retail ADA strategy development, implementation, analysis, and tracking. Provide forecasting and regular ADA Management Information (MI), ensuring accurate reporting to track ADA performance. Lead Analytical Projects, ensuring timely and quality implementation, and contribute to quality and governance standards. Manage stakeholders effectively, align ADA implementations with resourcing requirements, and coach team members as needed. Required Skills and Experience: Extensive knowledge of the Retail Industry and ADA techniques. Strong proficiency in Python or equivalent analytical programming languages. Experience in strategy development and implementation using advanced data analytics. Proficiency in statistical concepts, data processing tools like Spark or Hadoop, and Microsoft Office. At least 5 years of analytical experience on consumer portfolio datasets. Qualifications/ Certification: University degree in quantitative fields or equivalent industry training and experience. * In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent

This is an exciting opportunity for someone who is passionate about machine learning, AI, and data-driven problem solving , and who thrives in an environment where innovation and business collaboration go hand in hand. Key Responsibilities: Manage end-to-end data workflows, from extraction and preparation to analysis Build dashboards and visualisations to communicate insights effectively Develop and deploy machine learning and statistical models Design AI-driven solutions for complex business challenges Translate business needs into structured analytical approaches Work within AWS and SAS Viya environments for scalable solutions Collaborate closely with business teams to deliver impactful insights Present findings clearly to both technical and non-technical stakeholders What Youll Need: Qualifications: Degree in a quantitative field (e.g. Data Science, Statistics, or Applied Mathematics) Strong foundation in statistical modelling Experience: Proven experience in data preparation, wrangling, and analysis Hands-on experience with SAS, Python, and SQL Exposure to machine learning or statistical modelling Experience working in cloud environments (preferably AWS) Experience with data visualisation tools (e.g. SAS Visual Analytics or similar) Skills: Strong analytical and problem-solving ability Ability to take ownership and work independently Excellent communication and storytelling skills Naturally curious with a willingness to experiment and learn Strong collaboration skills across technical and business teams Why Join?: Work on cutting-edge AI and data science solutions Collaborate with a dynamic, innovative team Exposure to modern platforms like AWS and SAS Viya Opportunity to make a real impact in a data-driven business Apply Now! For more exciting finance opportunities, visit:

Data Scientist / AI Developer Cape Town | Contract Opportunity We are looking for a skilled Data Scientist / AI Developer to join a high-performing retail technology environment focused on cutting-edge AI and LLM-driven solutions. This opportunity is ideal for a mid- to senior-level developer with a strong software engineering foundation and hands-on experience building intelligent applications using modern AI frameworks and OpenAI technologies. Requirements ✔️ BSc in Computer Science / Software Engineering ✔️ Strong Python development experience ✔️ Hands-on OpenAI API development experience ✔️ Experience with: Prompt Engineering Context Engineering LangGraph LangChain What Were Looking For Strong problem-solving and analytical capability Experience building AI-powered applications and workflows Ability to work in a fast-paced, collaborative environment Passion for emerging AI technologies and innovation Nice to Have Experience working with LLM orchestration frameworks Exposure to retail or enterprise-scale environments API integration and backend development experience If youre passionate about AI, Generative AI solutions, and building next-generation intelligent systems, wed love to hear from you. DataScientist AIJobs PythonDeveloper OpenAI LangChain LangGraph PromptEngineering CapeTownJobs TechJobs Datonomy