Junior Data Scientist

2 weeks ago


Sandton, South Africa Discovery Ltd. Full time

**Business Unit**:Discovery Health**Function**:Data Sciences**Date**:07-Feb-2023- Discovery Health
Junior 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 own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.**About (Data Science Unit)**
- The Risk Intelligence team is responsible for the measurement and reporting of clinical experience for each of our client schemes, providing actuarial analytic support for managed care interventions, healthcare quality public reporting initiatives, provider contracting, and clinical profile reports of clinician utilisation patterns and adherence to evidence based clinical process measures.**Key Purpose**-
**Areas of responsibility may include but not limited to**
- Connecting with a multitude of stakeholders to understand the data in a healthcare and operational context
- Mining large datasets to find new insights to inform operational efficiency and ‘member
- delight’ interaction strategies
- You will be expected to deliver clear and reliable results on tight and high-pressured deadlines at times
- Use data to provide insights with predictive modelling, visualisations, advanced SQL scripts
- Present data and model findings in a way that provides actionable insights to business users

**Personal Attributes and Skills**
- Experience in 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 story telling
- Strong analytical and statistical knowledge
- 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)
- Self-starter
- Willingness to learn and grow exponentially
- A restless curiosity towards 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
- Positive, can-do attitude

**Education and Experience**
- Honours or Master’s degree in either Statistics, or Applied Mathematics
- Honours or Master’s degree in Computer Science with experience in statistical modelling, data mining and machine learning
- Other analytical qualifications will also be considered if accompanied by the relevant experience
- Analytical work experience in the financial or health services industry (advantageous)

**Employment Equity**

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
- EMPLOYMENT EQUITY
The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.


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