Data Scientist Health Fraud

1 week ago

Johannesburg, South Africa Option Consultancy Services Full time

A renowned team with a strong global footprint seeks an experienced Data Scientist Health Fraud & Risk Analytics

**Education and Experience**

Honors or Masters degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR

Honors or Masters degree in Computer Science or Software Engineering with solid experience in statistical modeling, data mining and machine learning

Other analytical qualifications will also be considered if accompanied by the relevant experience

A minimum of 3 years work experience in a Data Science position

**Key Purpose**

In this role, you will be involved in creating opportunities that delight our customers by leveraging Discoverys vast clinical, demographic and operational data. Using this data with predictive modeling and machine learning techniques you will have a direct impact on strategic initiatives to support Discoverys world-class operations

**Areas of responsibility may include but are not lim**ited t**o**

Connecting with a multitude of stakeholders to understand the data in healthcare and operational context

Mining large structured and unstructured datasets to find new insights to inform operational efficiency and member-delight interaction strategies

Present data and model findings in a way that provides actionable insights to business users

Monitoring model performance

Improve processes and databases where opportunities arise

**Personal Attributes and Skills**

Expert in data science programming languages such as R, Python, Scala

Expert in data manipulation skills including SQL to extract, transform and load data

Experience in interactive data exploration and data-driven storytelling

Hands-on experience with Big Data systems will be preferred

Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data

Ability to formulate problem statements and develop a plan for tackling the problem

Strong ability to communicate findings and recommendations from data (visual, verbal, and written)

Integration and implementation experience

A passion for data exploration and analytics

Self-starter

Willingness to learn and grow exponentially

A restless curiosity toward data and uncovering unknown correlations

Ability to work cohesively in a team environment and balance multiple priorities

A team player who can work alone when required and without supervision

High level of attention to detail, resilience, enthusiasm, energy, and drive

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