We are a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories serves four out of five Fortune Global 500® companies.

About the Division

The value that our Risk Advisory Africa creates for organisations is synonymous with operational excellence. The Digital team helps our clients to use data to drive business strategy and performance. The Digital team applies a range of approaches and solutions, from looking backward to evaluate what happened in the past, to looking forward to conduct scenario planning and predictive modelling.

We turn everyday information into useful and actionable insights by understanding the decision-makers’ roles to maximise value. We assist our clients in solving a wide variety of business problems through analytics, artificial intelligence, automation and the creation of digital solutions.

The Digital team’s offerings draw on a broad list of capabilities which include machine learning, deep learning, RPA, automation and descriptive analytics. This helps us to help our clients to identify insights, ignite innovation, define strategy, create experiences, amplify brands, optimise operations, deliver platforms, enable the enterprise and protect from cyber attacks.

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, this is where you’ll find unrivalled opportunities to succeed and realise your full potential.

Job Description

The main purpose of the job is to support the engagement team in delivery of services to clients on delegated engagements or to build fee-generating assets for the Digital team.

Technical competencies:

• Foundational technical skills requirements above
• Proficient in MS Office suite
• Elementary business acumen

Behavioural Competencies:

• Good communication skills, both written and verbal
• Interpersonal and relationship building skills
• Desire to develop self
• Client delivery focus
• Proactive
• Adaptable
• Attention to detail
• Focus on quality
• Problem solving ability
• Analytical

Qualifications Minimum Qualification

• BSc Computer Science
• BSc Honours Computer Science
• BSc Maths / Statistics
• BEng (all disciplines).

Desired Qualification

• Masters or PhD degrees in one or more of the following areas: Computer Science, Maths, Statistics, Engineering.

Experience:

• 0 – 2 years relevant experience
• 2 years’ Machine learning and AI experience in developing and implementing models
• Experience with Python, AWS, Angular, Java Script

Please note this job opportunity is currently open to South African citizens or permanent residents only.