Junior Data Scientist

Full job description

Job Classification

Job Requisition - 137324

Closing Date - 31 March 2025

Location - Johannesburg

Cluster - Nedbank Wealth - Division - Insurance

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

Job Responsibilities Continue

People Specification

Essential Qualifications - NQF Level

Advanced Diplomas/National 1st Degrees

Preferred Qualification

BSc Statistics and Applied Mathematics, BSc Computer Science (with Statistical computing skills) or relevant statistical/quantitative based field of study

Essential Certifications

Preferred Certifications

Minimum Experience Level

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

Industries: Information Technology & Services

Function: Data Science