Please Note: Preference will be given to applicants from Underrepresented Groups
Job Family
IT
Career Stream
Data Science
Leadership Pipeline
Manage Self: Professional
FAIS Affected
Job Purpose
We are looking for a Junior Data Scientist that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data manipulation techniques for large datasets, doing statistical and predictive analysis, developing and implementing machine learning techniques and building high quality recommendation systems integrated with our products to discover and communicate trends and insights.
Job Responsibilities
Learn and implement appropriate programming language (R; Python; SQL) to investigate and solve business problems through data
Represent and communicate findings/results through data visualisation techniques
Derive actionable insights from preliminary client data investigations in an agile manner
Perform clustering techniques to subset client data into demographics useful to business
Fitting appropriate machine learning models to obtain distributions of products and identify impactful factors
Use classification techniques and predictive strategies to pre-empt future client behaviours
Utilize optimization techniques to enhance decision making (e.g. profit maximization), and implementing the above using qualitative data to enhance client experience
Dashboards - building frameworks to make metrics available to non-analytical business units
Creating automated anomaly detection systems and constant tracking of its performance
Develop interpersonal and business communication skills
Doing ad-hoc analysis and presenting results in a clear, insightful and actionable manner
To remain agile/versatile as business needs may change and develop rapidly
BSc Statistics and Applied Mathematics, BSc Computer Science (with Statistical computing skills) or relevant statistical/quantitative based field of study
0 - 3 years of quantitative analytics/data science experience
Technical / Professional Knowledge
Affirmative action guidelines
Applicant tracking software
Brand marketing
Budgeting
Business Acumen
Business administration and management
Capacity planning
Change management
Client service management
Industry trends
Interviewing techniques
Principles of project management
Recruitment and selection
Resource allocation principles
Business writing skills
Behavioural Competencies Building Partnerships
Initiating Action
Stress Tolerance
Work Standards
Continuous Improvement
Planning and Organizing
- Please contact the Nedbank Recruiting Team at +27 860 555 566
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