Data Scientist - AI

Remuneration:	R80000 - R80000 per month cost-to-company
Location:	Midrand
Education level:	Honours
Job level:	Mid/Senior
Own transport required:	Yes
Travel requirement:	Often
Type:	Permanent
Reference:	#FP171
Company:	Finding Personnel

Job title: Data scientist (AI)
Location: Midrand, Gauteng
Industry: Information technology and AI services
Salary / CTC: R80 000 (Depending on current earnings, qualifications, and experience)
Reporting to: General manager – AI and services

Job summary:

The data scientist (AI) will focus on developing and implementing AI-driven solutions to address complex business challenges. This role requires a blend of strong analytical skills, technical expertise, and a passion for leveraging data to create impactful AI models and insights.

This role will need to collaborate with product design and engineering teams to develop an understanding of needs, research and devise innovative statistical models for data analysis, and communicate these findings to all stakeholders. They will be required to enable smarter business processes by using analytics for meaningful insights and keeping current with technical and industry developments.

Key responsibilities:

• Design, build, and deploy machine learning and AI models to solve business problems and drive decision-making processes.
• Analyse large and complex datasets to uncover trends, patterns, and insights that support business objectives and strategic initiatives.
• Develop and optimise algorithms to enhance model performance, accuracy, and scalability.
• Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products.
• Clean, preprocess, and engineer features from raw data to prepare it for modelling and analysis.
• Work closely with cross-functional teams, including data engineers, software developers, and business analysts, to integrate AI solutions into existing systems and workflows.
• Stay current with the latest advancements in AI and data science, exploring new techniques, tools, and methodologies to improve model effectiveness and innovation.
• Execute analytical experiments to help solve problems across various domains and industries.
• Create and present clear, compelling visualisations and reports to communicate findings and recommendations to both technical and non-technical stakeholders.
• Analyse data for trends and patterns, and interpret data with clear objectives in mind.
• Perform rigorous testing and validation of models to ensure their robustness and reliability in real-world scenarios.
• Devise and utilise algorithms and models to mine big-data stores; perform data and error analysis.

Experience and knowledge:

• Minimum of three years of experience as a data scientist or in a similar role, with a focus on AI and machine learning.
• Two or more years of project management experience.
• Experience with data manipulation and analysis tools (e.g., SQL, RAG, Splunk, Databricks, Elastic, Spark, etc.).
• Knowledge of industry-based AI platforms (e.g., Nvidia, Intel, OpenShift AI, Kubernetes, etc.), models (e.g., HuggingFace, Nvidia, Llama, GPT, TensorRT, etc.), frameworks (e.g., Nvidia AI Enterprise, Intel, Cuda, Morpheus, NeMo, etc.), and AI infrastructure (e.g., DELL AI Factory, SuperMicro, Nutanix AI, etc.).
• Advanced knowledge of statistical and algorithmic models as well as fundamental mathematical concepts, such as linear algebra and probability.

Skills and education:

• Bachelor’s degree in data science, computer science, mathematics, statistics, or a related field. An advanced degree (Master’s or PhD) is preferred.
• Relevant certifications in AI/ML or data science.
• Vendor-specific professional-level certification is an advantage (Huawei, Alcatel-Lucent, Ruckus, DELL, Nutanix).
• Proficiency with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python, Java, SQL, R, or similar languages.
• Ability to analyse and interpret complex data sets to extract actionable insights and drive strategic decisions.
• Strong problem-solving skills with a track record of developing innovative solutions to complex data challenges.
• Excellent verbal and written communication skills, with the ability to present technical information in a clear and understandable manner.

Personal attributes and qualities:

• Ability to work flexible hours and respond to deployment emergencies outside of regular business hours as needed.
• Mature, outgoing, positive individual.
• Self-managed, proactive and takes accountability.
• Enjoys and is able to engage with diverse people, including different cultures, religions, and belief systems.
• Ability to work as part of a team and collaborate effectively.
• High level of energy.
• Motivated and driven.

Compliance competencies:

• Perform all duties with integrity, to the highest ethical standards, and in compliance with all relevant legal, contractual, and other requirements as mandated by the company code of conduct.
• Keep up to date with changes in applicable compliance obligations, controls, and measures relevant to the role.

Extras:

• Travel required: Yes
• Driver’s licence and vehicle: Yes
• Grooming: Must be well-groomed and present a positive corporate image.
• Languages: English

Posted on 15 Aug 09:13, Closing date 14 Oct