Data Scientist - Granting at Capitec Bank

Purpose Statement

• To assist in building and delivering the AI strategy to ensure Capitec is able to compete in a fast changing landscape. Data science will be a key strategic differentiator in the future.

• Data scientists will help automate and improve processes, create new products and services and assist with improved decision making based on data.

Experience

Level descriptors:

• DS 1-2 will work under close supervision to ensure best practices are followed. 

• DS 3-4 are expected to be able to co-ordinate and lead other data scientists to ensure successful starting trajectories of projects. Also expected to be able to present at required formal committees within the bank (e.g. MTSC, ECM, CCM, TAF, Data Steerco) to drive project delivery.

Proven experience in:

• 2+ years of experience in building machine learning models in Python/R 

• Business analysis and requirements gathering

• Reproducible coding experience and working with source control tools e.g. Git, Bitbucket

• Experience in deploying models into production

• Spark, Hadoop or similar big data coding experience 

• Working in remote environments, e.g. Docker, Linux

• Working in cloud environments, e.g. Azure, AWS

Qualifications (Minimum)

• Honours Degree in Data Science or Mathematics

Qualifications (Ideal or Preferred)

• Doctoral Degree in Data Science or Mathematics

Knowledge

Min:

Must have detailed knowledge of:

• Solution and experimental design for model development

• Machine learning development and underlying theory and assumptions of techniques. 

• Predictive modelling techniques (statistical and machine learning) and deployment

• Source control systems e.g. Git, Bitbucket, or Sourcetree

• Relational database technologies

• Data Science lifecycle and applicable skills within

Ideal:

• Data analysis 

• Solution and experimental design

• Machine learning model architecture (technical design and implementation processes)

• Specialist in one or more specific machine learning competencies, e.g. NLP, Deep Learning etc.

Solid understanding of:

• Underlying theory and application of machine learning models, must be able to understand underlying principles and theory and be able to teach others. 

• Best practices for data science 

• Ethical AI design principles

• Capitec Data Science lifecycle 

• Capitec DPLC

Skills

• Numerical Reasoning skills

• Attention to Detail

• Communications Skills

• Computer Literacy (MS Word, MS Excel, MS Outlook)

• Problem solving skills

• Analytical Skills

Competencies

• Working with People

• Delivering Results and Meeting Customer Expectations

• Achieving Personal Work Goals and Objectives

• Achieving Personal Work Goals and Objectives_Driving for Results

• Creating and Innovating_Displaying Creativity

• Delivering Results and Meeting Customer Expectations_Meeting Basic Work Expectations

• Analysing_Evaluating and Implementing Ideas

• Adhering to Principles and Values_Showing Community and Social Responsibility

• Adhering to Principles and Values_Acting with Integrity

• Delivering Results and Meeting Customer Expectations_Serving Customers

• Achieving Personal Work Goals and Objectives_Accepting Responsibility

• Adapting and Responding to Change_Acting as a Champion for Change

• Working with People_Resolving Conflict

• Creating and Innovating

• Relating and Networking_Establishing Relationships

• Applying Expertise and Technology_Displaying Technical Expertise

• Deciding and Initiating Action

• Adhering to Principles and Values

• Adapting and Responding to Change

• Applying Expertise and Technology

• Achieving Personal Work Goals and Objectives_Driving Continuous Improvement

• Analysing

• Learning and Researching

• Presenting and Communicating Information

• Writing and Reporting_Composing and Writing Text

• Adhering to Principles and Values_Demonstrating Beliefs and Principles

• Working with People_Teaching

• Applying Expertise and Technology_Using Computers and Technology

• Presenting and Communicating Information_Communicating Effectively

• Working with People_Demonstrating Self-Insight and Awareness

• Relating and Networking

• Working with People_Attentive Listening

• Writing and Reporting

• Learning and researching_Learning Quickly

• Deciding and Initiating Action_Making Accurate Judgments and Decisions

• Analysing_Thinking Broadly

• Presenting and Communicating information_Presenting and Public Speaking

• Analysing_Solving Complex Problems

• Delivering Results and Meeting Customer Expectations_Championing Customer Needs

• Analysing_Using Math

• Working with People_Sharing Information

• Adapting and Responding to Change_Adapting to Change

• Analysing_Working with Financial Information

• Relating and Networking_Managing Political Situations

• Learning and researching_Acquiring Information

• Relating and Networking_Creating and Maintaining Networks

• Working with People_Adapting to Others

• Working with People_Showing Caring and Understanding

• Analysing_Critical Thinking

• Relating and Networking_Interacting with People at Different Levels

• Adapting and responding to change_Working with Diverse Populations

• Delivering Results and Meeting Customer Expectations_Delivering High Quality Work

• Analysing_Testing and Troubleshooting

• Analysing_Reading Effectively

• Working with People_Demonstrating Appreciation

• Adapting and Responding to Change_Supporting Change

• Creating and Innovating_Developing Plans

• Achieving Personal Work Goals and Objectives_Pursuing Self-Development

• Working with People_Building and Supporting Teams

• Deciding and Initiating Action_Acting Decisively

• Working with People_Assessing and Understanding People

• Working with People_Managing from a Distance

• Working with People_Supporting Coworkers

• Adapting and Responding to Change_Working with Ambiguity

• Deciding and Initiating Action_Demonstrating Initiative

Conditions of Employment

• Clear criminal and credit record