Risk Advisory – Data Analytics – Senior Data Scientist (Manager)

  • Full-time

Company Description

Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax, and related services. With more than 150 years of hard work and commitment to making a real difference, our organization has grown in scale and diversity approximately 286,000 people in 150 countries and territories, providing these services yet our shared culture remains the same. Click here to read more about Deloitte.

About the Division

The value that Deloitte Risk Advisory Africa creates for organisations is synonymous with operational excellence. Our five business areas work in unison to provide integrated solutions unique to the organisational requirements of any business.

Click here to read more about our Risk Advisory practice.

Deloitte Analytics is the practice of using data to drive business strategy and performance. It includes a range of approaches and solutions, from looking backward to evaluate what happened in the past to looking forward, to do scenario planning and predictive modelling.

The analytical insights team forms part of Deloitte Analytics and is a unique collection of data scientists and data engineers from different backgrounds that use advanced data modelling, Machine Learning, visualisation, rapid prototyping techniques and software development skills to provide new value embedded in customers’ existing data, with a focus on Artificial Intelligence and cognitive computing.

By utilising a combination of tools, processes and frameworks, we are able to combine diverse sources of structured and unstructured data into a data-comb that exposes hidden relationships and linkages required to address critical business and strategic questions from our stakeholders.

Job Description

We are looking for enthusiastic, proactive and passionate individuals, who have a keen interest to transform the future of Deloitte and our clients with profound and impactful data insights using Artificial Intelligence and Machine Learning, to create a distinct competitive edge.

The job will expect you to:

  • Communicate effectively and build relationships with stakeholders to understand their business and identify data solutions using Artificial Intelligence and Machine Learning.
  • Deliver on both client and strategic internal engagements.
  • Provide expertise on specific predictive modelling techniques and/or software solutions.
  • Understand the fundamentals of Machine Learning and other advanced techniques.
  • Design overall predictive modelling/Machine Learning project approach from data sourcing to deployment including data architecture that will be required to execute project.
  • Perform sophisticated model development analyses.
  • Write programs to import data into various technology tools and to scrub, manipulate, and analyse data.
  • Report on all findings from analytical programs written in various technology tools
  • Understand how to translate technical complexities and solutions into business insights in order to create value for our clients.
  • Understand the fundamentals of software development lifecycle and how to make it practical when developing advanced Machine Learning solutions.
  • Travel locally and internationally.

Experience and Technical Competencies:

  • 4-6 years management experience
  • 10 years in data/ data science experience
  • Consulting experience is advantageous 
  • Experience in solving routine and complex business problems
  • In-depth knowledge of Data Analytics and Data Science
  • Experience in working on multiple projects
  • Programming languages: Python, R, JavaScript
  • Frameworks and libraries: Tensorflow, PyTorch, Kafka, Spark, Hadoop, Big Data, D3, Docker, Kubernetes. 
  • Cloud Technologies: AWS, Google Cloud Platform, MS Azure
  • Experience in model building and developing AI, using different technologies (R, Python, etc.)
  • Proficiency in Excel, Word, Access, and PowerPoint
  • Able to understand the fundamentals of programming and Machine Learning, the techniques and building blocks.

Behavioural Competencies:

  • Excellent written and oral communication skills
  • Ability to present yourself in a competent and professional manner to the client at all times
  • Active participation and proactive attitude to service delivery
  • Ability to prioritise competing responsibilities
  • Demonstrate a broad approach to problem solving
  • Work effectively with minimal oversight and within a team environment
  • Ability to provide recommendations and guidance to the client for communicating data insights based on experiences and industry leading practices.
  • Ability to support management and mentor junior staff  
  • Show enthusiasm towards learning
  • Ability to pay attention to detail
  • Independent, self-motivator and adaptable
  • Strong analytical skills. 
  • Strong business acumen

Qualifications

  • BSc Data Science
  • BSc Statistics
  • BSc Financial Mathematics
  • BSc IT / Computer Science
  • Preferred: Master’s in data science/ ML

Additional Information

*Please note that this job advertisement provides a summary of the capabilities required and all candidates shortlisted will receive a full list of capabilities.

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