Analytics Lead: Data Strategy & Ai Innovation
South Africa
Listed on 2026-10-10
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IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Analyst
Our client is seeking an experienced and visionary Lead Data Scientist to spearhead their advanced analytics initiatives in Tembisa
. This leadership role involves guiding a team of data scientists, defining the strategic roadmap for data-driven insights, and directly contributing to the development and deployment of sophisticated machine learning models. You will play a critical role in extracting actionable intelligence from vast datasets to inform business strategy, optimize operations, and uncover new growth opportunities. The successful candidate will possess a blend of technical expertise, strategic thinking, and leadership acumen, driving impactful data science projects from conception to production within our client's innovative environment.
the Role
Our client is seeking an experienced and visionary Lead Data Scientist to spearhead their AI and Machine Learning initiatives in Tembisa
. This pivotal role involves leading a team of data scientists and engineers to develop and implement sophisticated predictive models and intelligent systems that will revolutionize our client's core business operations. You will be instrumental in defining the data science roadmap, translating complex business problems into actionable data-driven solutions, and fostering a culture of innovation. This is a unique opportunity to make a significant impact in a growing organization, driving strategic decisions through advanced analytics and machine learning in a hands-on, collaborative setting.
- Lead the design, development, and deployment of advanced machine learning models and AI solutions to address key business challenges.
- Mentor and guide a team of data scientists, fostering their technical growth and ensuring high-quality project delivery.
- Collaborate with stakeholders across various departments to identify opportunities for data-driven insights and automation.
- Perform complex data analysis, feature engineering, and model evaluation to ensure accuracy and effectiveness.
- Stay abreast of the latest advancements in AI, machine learning, and data science, and advocate for their adoption.
- Communicate findings, insights, and recommendations clearly and effectively to both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7+ years of experience in data science, with a proven track record of leading successful ML projects.
- Expertise in statistical modeling, machine learning algorithms (supervised, unsupervised, deep learning), and experimental design.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Tensor Flow, PyTorch, scikit-learn).
- Strong experience with data manipulation and analysis tools (SQL, Spark) and big data technologies.
- Excellent leadership, communication, and stakeholder management skills.
- Highly competitive salary package with attractive bonuses.
- Full remote work flexibility with a generous home office stipend.
- Premium health, dental, and vision insurance plans.
- Significant opportunities for career advancement and leadership development.
- Access to state-of-the-art tools and technologies in a forward-thinking research environment.
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