• Application Deadline:
• Position: Data & Analytics Lead (Africa)


• Job Type Full Time


• Qualification BA/BSc/HND , MBA/MSc/MA


• Experience 10 years


• Location Lagos


• Job Field Data Science / Research 
  

Job Summary

At KPMG, you’ll find a world of opportunity, where our people give clients and communities the insights, they need to build a sustainable future. We seek an experienced individual with a strong track record in building AI, ML and Deep Learning algorithms to help our clients harness the power of data. This is a Pan Africa role with responsibility for leading a team across the continent. This resource will be based in either Joburg, Nairobi or Lagos.

Responsibilities

Strategy

• Provide technical data & analytics support to the Africa digital transformation team 


• Leverage regional alliances with technology partners (e.g. Microsoft, Oracle, IBM, AWS, Google, etc) to drive proactive leads generation, joint pitch, pipeline management and conversions as they relate to data analytics


• Work with relevant functional areas and service lines across the Firm to deliver on client engagement and sales initiatives 


• Leverage local and global KPMG artefacts, SMEs, and other network assets to advance the firm’s data & analytics agenda


• Manage, coach and grow the ML engineering and data science team


• Embed data & AI in everything we do – meaning that you will also be responsible for exploring and improving collaboration with different competences within KPMG

Client Impact

• Drive business growth of the Data & Analytics business across Africa through expansion of ML engineering pipeline and wins at leading clients


• Oversee data management, warehousing, integration, and migration; business intelligence; analytics; and delivery across advisory and technical projects


• Lead the development and implementation of data and advanced analytics strategies for clients across Africa


• Develop ML and Deep Learning algorithms that help clients improve their predictive capabilities significantly


• Design, develop, maintain and improve machine learning algorithms for the clients' products


• Help clients to employ machine learning principles in making business decisions


• Test and evaluate machine learning models and algorithms on real-world data sets


• Collaborate with the D & A team to build data pipelines, implement and train models based on results of experiments


• Interact with business leaders and functional experts to understand current and future business challenges and needs and help with solutioning.


• Provide subject matter expertise on data-related topics as well as consultative guidance for data management and governance


• Develop data models that improve processes and add strategic value to the client’s business


• Stay up to date with industry trends and emerging technologies in data and analytics to ensure we provide clients with the latest and most effective solutions


• Work closely with clients to understand business needs and develop tailored solutions


• Strengthen KPMG’s share of mind in the D & A space through impactful thought leadership 

Finance

• Deliver on targets and goals (including sales goals)


• Provide annual budget input for the area of responsibility for approval and integration into service line/ growth area budget


• Manage the annual budget, including costs for designated area

Requirements

• Bachelor’s or Master’s degree in a relevant field such as computer science, statistics, mathematics, or related fields


• A minimum of 5 O’ Level credits (including English and Mathematics)


• Minimum of 10 years’ experience in AI and ML engineering with a proven track record of delivering successful projects


• Deep knowledge of programming languages and frameworks such as Python, Java, C++, R, and SQL


• Deep hands-on experience with modern Data & AI Platforms such as Azure, AWS or GCP 


• Practical experience with tools like Git/Github for version control, Jenkins for continuous integration, and Docker for containerization.


• Deep understanding of data and analytics technologies, including data warehousing, data integration and data visualization


• Good understanding of statistics, probability theory, and computer science fundamentals like algorithms and data structures


• Pre-sales experience with OEMs or consulting experience will be an added advantage


• Being a self-starter and able to work independently including across multiple priorities and complex matrixed roles and responsibilities 


• Confident, tactful and able to effectively influence others and deal effectively with senior leaders


• Strong communicator, including listening skills with an ability to translate insights across business and technology teams and to develop and present new ideas and conceptualize new approaches and solutions


• Strong team and work ethic, comfortable with ambiguity, change and challenge


• Interested in the bigger picture and able to think broader than own capabilities


• Ability to connect with the right complimentary people in KPMG to tackle new and complex business problems with a data flavour.


• Enthusiastic, driven and proactive

Closing: 10, June 2023