Talent Pool - Senior Data Scientist

Discovery Limited; Gauteng; On-site; ZAR 60 000 - 100 000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to join their innovative Data Science Lab. This dynamic role involves utilizing predictive analytics and machine learning to tackle challenges in health and insurance sectors. You will collaborate with a team of experts to develop models that drive business decisions and promote healthier lifestyles among clients. Ideal candidates will possess a Master's or PhD in relevant fields and demonstrate proficiency in Python, R, and SQL. Join a forward-thinking company that values creativity and results-driven professionals in a supportive environment.

Qualifications

• 2-5 years of experience in data science with a focus on machine learning.
• Proven ability to build and deploy models to solve business problems.

Responsibilities

• Develop predictive models for risk and sales.
• Analyze large datasets to inform business strategies.
• Present insights to stakeholders.

Skills

Machine Learning

Data Analysis

Python

R

SQL

Statistical Modeling

Behavioral Science

Education

Master's in Data Science

PhD in Statistics

Bachelor's in Computer Science

Tools

Microsoft Office

Big Data Tools

Job description

Discovery Health Senior Data Scientist

About Discovery

Discovery's core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose values align with Discovery's. Our dynamic environment enables smart, self-driven people to excel. As global thought leaders, we are passionate about innovation to achieve financial success and to ignite positive societal change.

About the Data Science Lab

The Group DS Lab is expanding, with available positions. The lab applies predictive analytics, machine learning, big data, and operations research to support key projects across the Group and its business units. We work in clinical, wellness, financial, sales, operational, people, and behavioral areas, utilizing modern analytics tools on large datasets within a big data architecture. We also explore new data sources and applications beyond traditional data science realms.

Key Purpose

The Data Science Lab is a specialized team addressing challenges in health, life, and short-term insurance, as well as cross-group projects. We seek individuals with 2-5 years of experience for projects including:

1. Risk management via behavioral science and intervention design.
2. Combining traditional and novel data sources innovatively.
3. Assisting with experimental design for products, marketing, and engagement.
4. Advising on model deployment in local markets.
5. Applying advanced techniques to real business scenarios.
6. Shaping new projects to promote healthier lifestyles among insurance customers.

Responsibilities

• Develop models to predict risk, sales, and savings.
• Present insights and findings to stakeholders and executives.
• Analyze large structured and unstructured data to inform various business strategies.
• Ensure model implementation leads to business adoption.
• Monitor and improve model performance.
• Enhance data collection and processing processes.
• Conduct scientific experiments for model evaluation.
• Produce customer and business-focused analytical work.

Personal Attributes and Skills

We seek a creative, enthusiastic individual with the ability to prioritize, communicate effectively, and align with Discovery's values. Results-driven, curious, autonomous, and team-oriented professionals are ideal.

Education and Experience

A Master's or PhD in Data Science, Actuarial Science, Statistics, Operations Research, Computer Science, Applied Mathematics, or Engineering. Proven experience in building and deploying machine learning models to solve business problems, with proficiency in Python, R, SQL, and familiarity with advanced algorithms like Gradient Boosting, Random Forests, or Neural Networks. Knowledge of Microsoft Office tools is required.

Advantages

Experience with big data tools and a keen interest in healthcare, behavioral science, and risk management are advantageous.

Employment Equity

We consider our Employment Equity Plan and Targets in recruitment and encourage applicants with disabilities to apply.