data-scientist

Old Mutual Limited is a listed company on the Johannesburg Stock Exchange and has secondary listings on the London, Malawi, Namibia and Zimbabwe stock exchanges. As a Pan-African financial services company, we are focused on Africa, her needs and her people.

Together with you, we have educated our children, given more homes warmth and light, empowered small businesses and improved infrastructure in Africa. Our story will continue #WithAfricaForAfrica.

Old Mutual Limited

• Analysing data to draw insights, patterns and conclusions that will enable the business to improve products, services, processes or to develop new strategies.
• Handling large, complex datasets and developing and applying robust analytical processes including data cleaning, data interpretation models, forecasting, pattern identification and trend analysis.
• Creating well-defined backlog and prioritised road maps that align predictive analytics projects with business needs.
• Performing complex statistical analysis and utilizing mining, modeling, and testing techniques.
• Creating complex algorithms that identify patterns in unstructured and structured data.
• Planning all business and technical aspects of different data and analytics systems and platforms.

Data Scientist

Data Scientist responsible for analyzing data to improve products and services at Old Mutual. Focuses on data insights, predictive analytics, and complex statistical analysis.

P95 is a full-service Contract Research Organization (CRO) specializing in vaccine development and infectious diseases. With over 25 years of experience and a presence spanning five continents, P95 offers comprehensive clinical trial solutions from early to late phases. The company excels in epidemiology and real-world evidence with a strong focus on vaccines, infectious diseases, and emerging markets like Africa and LMICs. P95's services include clinical trial delivery, data management, biostatistics, safety management, and medical writing, aiming to advance vaccine development and positively impact global health.

P95 is a leading global provider of clinical and epidemiology research solutions with a specialty focus on vaccines and infectious diseases. With our European headquarters in Belgium, and regional hubs in the Netherlands, South Africa, Colombia, Thailand, and the USA, our full-service CRO solutions span across 5 continents with staff in over 20 countries.

Our services in a nutshell:
· Clinical Studies Phase I-IV
· Epidemiology and RWE
· Scientific and Clinical Development Consulting
· Study Start-up and Clinical Monitoring
· Sample Management
· Medical Monitoring and Pharmacovigilance
· Qualitative Research
· Medical Writing
· Data Management, Biostatistics and IT

P95 

• Serve as the primary study‑level Data Management (DM) lead or co‑lead, providing strategic direction for all DM activities.
• Provide day‑to‑day oversight and guidance to Clinical Data Managers, Clinical Data Coordinators, and/or Data Associates.
• Lead internal study team meetings and contribute to sponsor meetings.
• Track study progress, identify risks, and implement corrective and preventive actions.
• Support financial oversight by monitoring study budgets for DM activities and tracking deliverables against the Scope of Work (SOW).
• Ensure all DM deliverables meet internal quality standards, regulatory expectations, and contractual timelines.
• Collaborate with the programming teams to enhance efficiency, streamline processes, and support innovation initiatives.

Senior Clinical Data Manager

Senior Clinical Data Manager leading end-to-end clinical data management for global studies. Ensuring data quality and compliance, collaborating with stakeholders in a remote setup.

Learning Sandbox is a global educational technology consultancy based in Cape Town, South Africa. We specialize in crafting elegant, interactive content designed for today’s learners. By leveraging our deep expertise in online pedagogy and technology, we deliver creative and engaging educational experiences that resonate with diverse audiences across the globe.

Learning Sandbox is an education technology consultancy.  Our mission is to help you leverage the latest learning technologies in your educational institution, giving your students access to digital content that aims to empower, engage and inspire.

The heartbeat of our business is producing bespoke digital content while also offering strategic, pedagogical and digital asset research, design and production services.

Learning Sandbox

• Writing detailed content outlines for data and AI-related interactives
• Collaborating with Learning Design, Product and Faculty on ideas for robust data science education learning experiences
• Verifying accuracy of final content (no errors or misconceptions introduced)

Data Science Subject Matter Expert

Subject Matter Expert creating engaging educational content on data science and AI for high school students. Join a multidisciplinary team focusing on free science education globally.

Draslovka is a family-owned Czech company with over 100 years of history, specializing in sustainability-led technologies and chemical solutions. It focuses on three core areas: agricultural solutions, mining process solutions, and specialty chemicals, aiming to transform critical industries while prioritizing sustainable practices. The company is known for its innovative fumigation and agricultural products as well as its expertise in CN-group chemistry and glycine leaching technology (GLT). Draslovka's global operations are driven by an international team committed to safety and leading customer service, establishing the company as a leader in reimagining chemical applications for sustainable growth.

Draslovka has been reimagining what’s possible with the CN family of chemicals for more than 100 years. We are a Czech family company, driven by an international team working across the world with a conscious ambition to be the best at what they do.

Draslovka holds a strong market position in the CN - based specialty chemical industry through the roll-out of newly developed environmentally sustainable products including next-generation fumigants and biocides, supply chain optimization, and advanced application practices implemented based on consumer‘s needs.

Reliability, responsibility, and sustainability represent our core values which are consistently applied in all processes. Our goal is to build a comprehensive portfolio of chemical companies, with an interface that ensures synergy of production and services.

In its early days, the focus of the company lay in the production of hydrogen cyanide, but an extensive line of industrial products and services has since emerged. Today, Draslovka has three main business divisions: Specialty chemicals, Mining solutions and Agricultural solutions.

Draslovka

• Maintain, develop, and optimize advanced technologies, including sensor components, optics, mechanics, electronics, software, and digital signal processing algorithms
• Focus on raw signal processing for sensors such as spectrometers, machine vision cameras, and ultrasonic sensors
• Re-write and refactor old code to new industry standards
• Develop, test, and validate software/algorithms to ensure performance specifications are met
• Document and present research findings, technical advancements, and innovations to stakeholders
• Troubleshoot, analyse, and resolve challenges in sensor systems, algorithms, and associated technologies
• Conduct simulations and analysis to identify weaknesses in developed algorithms
• Drive research initiatives to identify technological gaps and propose innovative solutions
• Collaborate with cross-functional teams and lead junior engineers

Software Engineer maintaining and optimizing technologies for sensor processing in mining solutions at Blue Cube Systems. Collaborating with teams and driving innovation in sensor systems.

Kuunda is a company that provides tailored liquidity solutions aimed at empowering emerging economies. By addressing the liquidity challenges faced globally, Kuunda offers innovative financing products that help agents, micro, small, and medium enterprises (MSMEs), and consumers sustain their lifestyles and grow their businesses. With a focus on collaboration, Kuunda partners with various organizations to deliver effective financial solutions that enhance economic participation and resilience.

Kuunda builds dynamic, embedded financing solutions that create sustainable economic productivity by providing agent networks, small businesses, and consumers with access to liquidity products and services. Leveraging proprietary credit scoring algorithms, our dynamic borrower profiles are built off real-time behavioural data connected via our channel partners’ existing infrastructure and networks to provide insights into the transactional patterns of agents, small businesses, and consumers. Using the insights generated from these profiles, we enable our partner networks to distribute liquidity to their networks. To date, Kuunda’s algorithms have been utilised in the creation of both short-term, and medium-term lending solutions, spanning use cases from e-float financing and airtime advances, to working capital facilities and stock financing loans to enable small business growth. 

Kuunda

• Conduct in-depth exploratory data analysis using Python and statistical methods
• Design, build, and maintain interactive dashboards and analytical reports using Qlik
• Create and maintain clear documentation for data science models and analytical processes
• Assist senior data scientists with data preparation and feature engineering
• Execute data cleaning, transformation, and validation routines using SQL and Python
• Collaborate closely with product managers and business analysts to translate business questions into measurable analytical approaches
• Proactively stay current with data visualization best practices and emerging data science methodologies

Data Scientist role at Kuunda specializing in data analysis and financial innovation. Conduct exploratory data analysis and build dashboards for key performance indicators.

Zappi is a B2B SaaS consumer insights platform that combines AI and large-scale consumer data to help brands develop products, optimize advertising, and track brand performance. The platform provides continuous, real-time feedback loops, iterative product and ad testing, and standardized, high-quality survey data to guide launch decisions and improve marketing effectiveness for enterprise consumer brands.

Zappi is a leading consumer insights platform that connects brands with consumers. Through AI-powered software that delivers connected insights, Zappi empowers brands to make faster, smarter, and consumer-driven decisions by leveraging real-time, continuous consumer feedback. Trusted by over 350 brands worldwide, Zappi helps create successful products, develop impactful ads, and build winning brands by keeping the voice of the consumer at the heart of every decision.

Named the Best Marketing Insights Platform by the MarTech Breakthrough Awards in both 2023 and 2024 and recognized by Business Insider as one of the hottest martech companies, Zappi is setting industry standards. As a certified B-Corp, Zappi is committed to net-zero emissions, fostering an equitable workplace, and leveraging technology to benefit the communities we serve.

With over 300 employees across 13+ countries and offices in Boston, London, and Cape Town, Zappi’s culture has been celebrated by Fast Company, Comparably, Quirks, Great Place to Work, and more.

To learn more about Zappi, visit https://www.zappi.io/web, and to join our team, visit https://www.zappi.io/web/careers/.

**Please note: For your safety, apply only through Zappi’s official careers page. Any job postings outside this portal may not be legitimate. If you come across suspicious activity, please report it to both Zappi and the recruitment site to safeguard your information.

Zappi

• You'd own the modelling approach for one of three domains — Advertising (predicting ad effectiveness), Innovation (forecasting product success), or Tracking (brand health dynamics).
• You won't just be handed a dataset and told to find patterns. We're significantly investing in custom-designed surveys built specifically to train these models. You'd be shaping what data we collect, not just how we interpret it.
• That means thinking through questions like: What stimulus variations do we need to capture the full distribution of ad quality? How do we ensure proper category and demographic balance? What response patterns actually predict market outcomes? The data asset itself is part of what you're building.
• Validation frameworks. We need to know exactly how well our models perform, and more importantly, where they fail. You'd design how we measure this.
• Respondent-level synthesis. Most synthetic approaches just predict top-level scores. We're trying to generate full synthetic respondent profiles — hundreds of variables per individual. Architecturally quite different from regression to a mean.
• Cold start. How do you predict response to a genuinely novel product category or ad format? Where can we use transfer learning?
• Multimodal inputs. Video, images, text, brand context — figuring out what features actually matter for predicting human response.

Senior Data Scientist

Senior Data Scientist developing predictive models for consumer response to marketing campaigns. Shaping data collection and analysis to validate models in advertising, product innovation, and brand tracking.

Control Risks is a global specialist risk consultancy firm. It helps organizations navigate and succeed in a volatile world by providing strategic advice and services in areas such as security risk management, operational and protective security, organizational resilience, crisis response, digital risks, and more. The company offers insights into political and country risks, ethics, compliance, and governance, as well as forensic and ESG (Environmental, Social, and Governance) services. Control Risks aims to ensure that its clients are prepared for and can efficiently handle various risk factors impacting their business operations globally.

Control Risks exists to make our clients succeed.  We are a specialist risk consultancy that helps to create secure, compliant and resilient organisations in an age of ever-changing risk.

Working across disciplines, technologies and geographies, everything we do is based on our belief that taking risks is essential to our clients’ success. 

We provide you with the insight to focus resources and ensure you are prepared to resolve the issues and crises that occur in any ambitious global organisation.

We go beyond problem-solving and give you the insight and intelligence you need to realise opportunities and grow. From the boardroom to the remotest location, we have developed an unparalleled ability to bring order to chaos and reassurance to anxiety.

Control Risks

• To lead the development and implementation of AI-based solutions aimed at improving operational efficiency within Control Risks.
• The Applied AI Scientist will work within the broader Data Engineering team and focus on the use of advanced AI and machine learning techniques to build, analyze, and deploy scalable, enterprise-wide AI solutions


Applied Data Scientist

Applied Data Scientist leading AI-based solutions for operational efficiency at Control Risks. Collaborating with Data Engineering on advanced machine learning techniques for scalable enterprise-wide AI solutions.

Meltwater is a leading company specializing in media intelligence and social data analytics. Its platform provides businesses with tools to monitor media, understand consumer trends, and manage social media through AI-driven insights. Meltwater's comprehensive suite of services includes media relations, social listening, influencer marketing, and sales intelligence, aimed at empowering companies to make data-driven strategic decisions and improve marketing and PR outcomes. With a focus on providing robust data sets and transforming them into actionable insights, Meltwater supports global brands in navigating and thriving in the media landscape.

Meltwater empowers companies with a suite of solutions that spans media, social, consumer, and sales intelligence. By analyzing ~1 billion pieces of content each day and transforming them into vital insights, Meltwater unlocks the competitive edge to drive results. With 27,000 global customers, 50 offices across six continents, and 2,300 employees, Meltwater is the industry partner of choice for global brands making an impact.

Meltwater

• Help define and prioritize enrichment improvements based on product strategy and customer impact
• Translate model capabilities into product value by understanding where enrichment quality matters most in customer workflows
• Collaborate with Data Scientists to turn experiments and research findings into clear product iteration plans
• Monitor quality and usage: Design and maintain dashboards and evaluation frameworks that track performance, adoption, and impact
• Support rollouts and internal understanding through clear documentation, release notes, and internal enablement for teams that rely on enrichment outputs

Product Manager – AI & Data Science

Product Manager driving Meltwater’s next-generation AI enrichment capabilities. Collaborating closely with product leads and data scientists to translate developments into customer value.

Hybrid Data Scientists roles in South Africa

Browse 8 hybrid data scientists roles hiring in South Africa plus related opportunities such as data analyst and product analyst.

8 jobs found

Data Scientist

Old Mutual Limited

Senior Clinical Data Manager

P95

Data Science Subject Matter Expert

Learning Sandbox

Data Scientist

Draslovka

Data Scientist

Kuunda

Senior Data Scientist

Zappi

Applied Data Scientist

Control Risks

Product Manager – AI & Data Science

Meltwater