Senior Data Scientist - Data Analytics

Deloitte6; Midrand; On-site; ZAR 700,000 - 1,200,000; Full time

Job summary

Deloitte is building the next generation of AI and data solutions within the Assurance Data Team in South Africa. This hands-on role focuses on developing data-driven solutions with an audit and assurance lens across client environments.

You will work across data engineering, ML, and Generative AI to deliver scalable, explainable, and audit-ready analytics. Expect collaboration with audit teams and ongoing mentoring of junior colleagues.

Qualifications

• Bachelor or higher in a data/analytic discipline.
• 3–6 years of data science, analytics, or related field.
• Strong Python and SQL proficiency.

Responsibilities

• Design and develop analytics, ML models, and AI solutions for continuous assurance.
• Build and maintain data pipelines, models, and reporting outputs.
• Apply ML and Generative AI to real-world audit/use cases.
• Monitor and improve model performance, explainability, and reliability.
• Create dashboards for reporting with actionable insights.
• Collaborate with audit and client teams to deliver practical solutions.
• Stakeholder management across business and client engagements.
• Manage self and junior team members in solution development.
• Train junior team members in delivery.

Skills

Python

SQL

Power BI

Generative AI

Education

Degree in Data Science / Statistics / Mathematics / Computer Science / Engineering

Tools

Azure

AWS

GCP

Job description

Join our Assurance Data Team and help build the next generation of AI and Data solutions. This is a hands-on role focused on developing data-driven solutions with an Audit and Assurance lens, across client environments. You'll work across data engineering, machine learning, and Generative AI to deliver scalable, explainable, and audit-ready analytical solutions.

Key Responsibilities

• Design and develop analytics, machine learning models, and AI solutions for continuous assurance.
• Build and maintain data pipelines, models, and reporting outputs.
• Apply machine learning and Generative AI to use cases such as anomaly detection, risk monitoring, document intelligence, and pattern recognition.
• Monitor and improve model performance, accuracy, explainability, and reliability.
• Create dashboards for reporting that translate complex analytics into actionable insights.
• Integrate and model data from multiple source systems.
• Collaborate with various audit and assurance teams and the client teams to deliver practical, business-focused solutions.
• Stakeholder management across the business and client engagements, including translating technical outputs into audit-ready narrative.
• Effective project and task management of self and junior team members
• Managing and training of junior team members in solution development and client delivery.

Qualifications

• Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
• 3-6 years' experience in data science, analytics, or a related quantitative field.
• Strong Python, SQL skills.
• Experience applying machine learning to real-world business problems.
• Exposure to Generative AI and Large Language Models (LLMs).
• Experience with Power BI or similar visualization tools.
• Cloud experience (Azure, AWS, or GCP) is advantageous.
• Experience in audit, risk, controls and compliance is advantageous.

Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.

At Deloitte, we want everyone to feel they can be themselves and to thrive at work-in every country, in everything we do, every day.

We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities.

We are committed to employment equity and building a diverse and inclusive workplace across the African continent.

Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act.

Preference may be given to candidates from designated groups.

We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace.

We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive.

If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know.

We are happy to make adjustments to suit your individual needs.