Fresh Jobs at Deloitte

Job Description

• We are looking for a passionate and motivated Tax Senior Consultant to join our Global Employer Services (GES) practice, specialising in expatriate tax and personal tax, delivering quality tax compliance and advisory services to High Net Worth Individuals (HNWI) and global mobility clients.

Role Requirements:

Support our Managers and Senior Leaders with growing the GES practice and offer exceptional tax advisory and compliance services to our HNWI and global mobility clients:

• Client Delivery: Manage end-to-end tax compliance and advisory projects for HNWI as well expatriate tax personal income tax returns. Ability to provide expert guidance on double taxation agreements and cross-border tax issues.
• Technical Expertise: Apply in-depth knowledge of South African tax legislation, SARS processes, and global mobility trends. Advise clients on the implications of recent and upcoming tax law changes.
• Relationship Management: Build and sustain strong relationships with clients, industry bodies, and internal stakeholders. Handle challenging conversations with professionalism and escalate appropriately.
• Team Leadership: Mentor and coach junior staff, fostering a culture of excellence and continuous development. Contribute to team vision and align efforts with broader business strategy.
• Innovation & Technology: Identify opportunities to leverage technology and automation to improve client service and operational efficiency.

Qualifications

• BCom or equivalent, plus a postgraduate qualification in Taxation (Honours or Masters in Tax is preferred).

Experience:

• More than 3 years’ experience in tax compliance and tax advisory, in a client-facing role, focused on HNWI and/or expatriate personal tax.
• Exposure to global mobility, expatriate tax, double taxation agreements, and cross-border tax advisory.
• Tax dispute resolution and risk management expertise

Technical Skills:

• In-depth knowledge of South African tax legislation, particularly personal income tax and familiarity with SARS practice and filing processes.
• Strong grasp of tax compliance, tax dispute resolution, and risk management.

Behavioural Competencies:

• Exceptional communication, analytical, and problem-solving skills.
• Resilience, adaptability, and a commitment to quality.
• Proven ability to mentor, coach, and develop others. Team player.

go to method of application »

Main Purpose of Job

• To support service / business area leadership in the implementation of strategic plan through the effective management of team/s. To support the Partner in delivery of services to / at client premises on specific delegated engagements / project.

Specialized Competencies

• Delivering on challenging audit engagements in the Public Commercial industry
• Sustain Profitability
• Proactively contribute to the business strategies of the firm in all aspects
• Talent Management
• Risk and quality Management

Qualifications
Qualifications & experience required

• CA (SA)
• A year post articles experience
• Experience in a client facing management role.
• Extensive audit experience in particular: Financial Institution Audit Client experience 

Key Performance areas

• Strategic Impact: Supports the Senior Manager on delivery of designated engagement / project, managing the implementation of the agreed deliverables.
• Client Impact: External/Internal: Manages and maintains oversight of deliverables of team on client engagements.
• Operational Effectiveness: Communicates detail of Audit Engagement Agreement to teams and maintains level monitoring of adherence by all parties.
• Development/Growth of Team: Shares expertise and knowledge with team members and counselees on an ongoing basis.
• Budgets / Profitability: Manages engagement budget through accurate budgeting,  cost control and profitability management.

 Differentiators for this specific role

• Wining Business: Contributes to the regional and business areas winning business opportunities and targets, including contribution to Industry Manager initiatives and cross service line selling and collaboration.

Leadership Capabilities

• Living our Purpose - Acts as a role model, embracing and living our purpose and values, and recognizing others for the impact they make.
• Talent development - Develops high-performing people and teams through challenging and meaningful opportunities.
• Performance drive - Delivers exceptional client service; maximizes results and drives high performance from people while fostering collaboration across businesses and borders.
• Influence - Influences clients, teams, and individuals positively, leading by example and establishing confident relationships with increasingly senior people.
• Strategic direction - Understands key objectives for clients and Deloitte, aligns people to objectives and sets priorities and direction.

Technical and Professional Capabilities

• Stakeholder Focus: Leverages a deep understanding of audit and risk advisory services and stakeholder needs to deliver high quality engagement.
• Become experts in risk assessments and audit responses: Takes an independent view and contributes heavily in developing and challenging the risk assessment and controls testing strategy and designing appropriate audit responses for risks.
• Integrate engagement teams and manage referred work: Collaborates effectively across Deloitte functions to deliver a seamless audit that is responsive to stakeholder needs.
• Make appropriate use of tools, guidance and methodology: Provides appropriate guidance to the audit team in relation to the application of tools, guidance and methodology in delivering the audit.
• Manage project plans to optimize engagements: Proactively manages the project plan through efficient use of resources and tracking delivery of assigned tasks, guiding team members’ prioritization.
• Formulate reasonable judgements and conclusions in order to deliver informative and timely outputs: Uses judgement and consults appropriately when dealing with complex matters, applying an appropriate level of professional scepticism.
• Apply Ethical and Professional Standards: Understands their business security, ethical and compliance responsibilities, displaying best practice and actively encouraging appropriate behaviours of engagement teams.

go to method of application »

Job Description

• Manage Multiple Projects within Data Science and Data Engineering space. Perform Stakeholder and Business Engagement and manage the end-to-end delivery to client by leading teams of Data Engineers and Data Scientists. 

Qualifications

• Bachelor’s Degree in Data Science, Computer Science, Engineering or other related Degrees 

Additional Information

• Deliver and manage the execution of Data Engineering and Data Science projects. 
• Produce intelligent, scalable, and automated solutions by leveraging Data Science and Data Engineering teams. 
• Develop a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs. 
• Design and manage the end-to-end Data Science and Data Engineering Solutions. 
• Work with Technology teams on the development of new data capabilities & architecture to define requirements and priorities. 
• Develop, continuously improve, and execute an efficient framework to identify, organize and structure the team to deliver quality products/services to client. 
• Support where required in developing product specification documents, scope of Work documents, Code of Conduct document with regards to project needs. 
• Implement best practise pipeline framework adhering to (KDD,CRISP) and deployment of use cases identified in products & services by using ML techniques 
• Establish and meet required SLAs and TAT for requirements 
• Ability to understand business processes, risk and controls. 
• Ability to understand and frame client problem statements and put forward a data analytics or digital solution to meet client requirements. 
• Ability to utilise industry technologies to apply data analytics solutions including data analysis tools; business intelligence solutions; data science and data engineering tools. 
• Ability to apply SDLC methodologies to solution developments 
• Ability to work with minimal supervision. 
• Ability to manage multiple engagements and projects simultaneously. 
• Excellent interpersonal skills. 
• Management and leadership skills. 
• Problem Solving Skills. 
• Drive an willingness to mentor and train junior members of the team. 
• Prior Business Engagement and Stakeholder Management experience. 

go to method of application »

Job Description

• Manage Multiple Projects within Data Science and Data Engineering space. Perform Stakeholder and Business Engagement and manage the end-to-end delivery to client by leading teams of Data Engineers and Data Scientists. 

Qualifications

• Bachelor’s Degree in Data Science, Computer Science, Engineering or other related Degrees 

Responsibilities:

• Deliver and manage the execution of Data Engineering and Data Science projects. 
• Produce intelligent, scalable, and automated solutions by leveraging Data Science and Data Engineering teams. 
• Develop a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs. 
• Design and manage the end-to-end Data Science and Data Engineering Solutions. 
• Work with Technology teams on the development of new data capabilities & architecture to define requirements and priorities. 
• Develop, continuously improve, and execute an efficient framework to identify, organize and structure the team to deliver quality products/services to client. 
• Support where required in developing product specification documents, scope of Work documents, Code of Conduct document with regards to project needs. 
• Implement best practice pipeline framework adhering to (KDD,CRISP) and deployment of use cases identified in products & services by using ML techniques 
• Establish and meet required SLAs and TAT for requirements 
• Ability to understand business processes, risk and controls. 
• Ability to understand and frame client problem statements and put forward a data analytics or digital solution to meet client requirements. 
• Ability to utilize industry technologies to apply data analytics solutions including data analysis tools; business intelligence solutions; data science and data engineering tools. 
• Ability to apply SDLC methodologies to solution developments 
• Ability to work with minimal supervision. 
• Ability to manage multiple engagements and projects simultaneously. 
• Excellent interpersonal skills. 
• Management and leadership skills. 
• Problem Solving Skills. 
• Drive an willingness to mentor and train junior members of the team. 
• Prior Business Engagement and Stakeholder Management experience. 

go to method of application »

Job Description

• We are looking for  a Data Analyst to make an impact in our team and at the clients.
• This role will support the AI and Data team in delivery of services to clients on engagements and projects to service within Data Analytics.

The job role entails the following:

• Data exploration and analysis
• ETL and data preparation capabilities
• Solve intricate data integration problems
• Accountability for deliverables and feedback to manager and stakeholders
• Interact with clients and business stakeholders
• Proficiency in at least two or more of the following tools:  SQL Server, SAS, Python and PowerBI
• Functional experience in cloud analytics is advantageous

Qualifications

• Certifications or Advanced degrees in Computer Science, Data Analytics, and technology specific certifications other relevant any qualifications (e.g. certifications in analytics technology platforms and techniques)

Minimum Experience

• 3+ years’ relevant work experience

Technical Competencies

• SQL
• Python
• Analysis
• Power BI
• Consulting skills

Behavioural Competencies:

• Continuous learning mindset
• Curiosity
• Excellent communication skills, both written and verbal
• Consistently delivers high quality work
• Ability to meet deadlines (reliable and dependable)
• Able to multi-task
• Proven application of providing guidance to junior members of the project team
• Demonstrates readiness to take decisions
• Displays initiative and takes accountability for delivery of own work
• Monitors adherence to deadlines for self
• Ability to prioritize competing responsibilities as per their urgency and importance

go to method of application »

Job Description

• To support the Partner and lead in the delivery of audit services at Insurance clients on premises of specific delegated engagements / projects. 

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, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential.

Qualifications

• Qualified CA (SA)
• Minimum 3 to 5 years in an Audit Manager role
• Ideally 2+ years as a Senior Audit Manager
• Desired 5 years in a client facing management role
• Extensive audit experience - alignment to Insurance industry.

Competencies

• Delivering on challenging audit engagements across the insurance industry
• Sustain Profitability
• Proactively contribute to the business strategies of the firm in all aspects
• Talent Management
• Risk and quality Management

go to method of application »

Job Description
Role Summary

• We are seeking a Manager – Customer Value Management (CVM) to join our high-performing AI & Data consulting practice, with a sharp focus on the telecommunications industry. In this role, you will lead the design and deployment of data and AI-powered CVM strategies that enable Telcos to drive measurable customer lifetime value (CLTV), churn mitigation, and revenue acceleration.
• You will act as a strategic bridge between AI, data, and commercial outcomes, helping our clients turn analytical insights into personalized offers, real-time engagement, and monetizable actions across the customer lifecycle. Consulting experience is a strong advantage.

Key Responsibilities

AI-Enabled CVM Strategy

• Lead CVM strategy development embedded within AI & data transformation programs
• Build customer intelligence frameworks powered by ML/AI (propensity scoring, churn prediction, CLTV modelling, segmentation)
• Collaborate with data scientists to define Next Best Offer/Action strategies based on behavioural signals and inferred intent

Data-Driven Execution

• Design and deploy AI-enabled CVM engines (campaigns, decisioning logic, feedback loops) across acquisition, upsell, and retention
• Operationalize models into automated, scalable CVM campaigns with measurable revenue and margin impact
• Champion experimentation (A/B testing, causal impact modelling) to optimize CVM offers and treatments

Client Engagement & Capability Building

• Serve as a trusted advisor to CxO and CVM executives at Tier 1 Telcos
• Lead cross-functional client teams to implement data-powered CVM roadmaps that scale across B2C/B2B2C environments
• Drive internal capability uplift for client teams on AI-enabled CVM techniques and tools

AI & Data Integration

• Collaborate with platform and engineering teams to ensure data pipelines, model deployment, and campaign orchestration are integrated and production-ready
• Work across martech/adtech ecosystems and CVM stacks (e.g., Unica, Salesforce, Flytxt, SAS, Adobe Campaign)
• Translate data models into commercial value with executive-ready storytelling, impact sizing, and benefit tracking

Qualifications
Minimum Qualifications

• Master's degree in Engineering, Computer Science, or related field (MBA advantageous)
• 5–8+ years’ experience in Telco CVM, customer analytics, or commercial data science roles
• Strong exposure to AI and data-driven decisioning in a Telco context (propensity modelling, segmentation, churn prediction)
• Hands-on leadership of CVM execution engines that translate AI insights into offer design, targeting, and execution
• Deep commercial acumen – must demonstrate tangible business outcomes delivered (revenue uplift, margin impact, churn reduction)

Preferred (Nice to Have)

• Consulting experience at Tier 1 / Tier 2 firms or specialist consulting houses
• Experience with AI/ML pipelines and interaction with data science/engineering teams
• Familiarity with real-time decisioning platforms, customer data platforms (CDPs), or AI personalization engines
• Strong understanding of data governance, model deployment lifecycles, and campaign analytics