Data Scientist

Life Healthcare Group; Gauteng; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A healthcare solutions provider based in Gauteng is seeking a Data Scientist to drive analytical decision-making. You will leverage predictive and prescriptive analytics to support funder strategies and solve complex business problems. The ideal candidate will have a relevant degree and over 4 years of experience in an analytics environment. Strong skills in Python, SQL, and machine learning techniques are vital for success in this role along with a passion for continuous improvement and healthcare experience being a significant advantage.

Qualifications

• 4+ years of experience in an analytics environment.
• Experience using statistical and machine learning techniques.
• Healthcare experience is advantageous.

Responsibilities

• Support funder strategy through predictive and prescriptive analytics.
• Apply statistical and machine learning techniques to extract insights.
• Collaborate with data engineering team to integrate data sources.

Skills

Statistical analysis

Machine learning techniques

Python

SQL

Critical thinking

Communication skills

Problem-solving

Education

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Actuarial Science, Econometrics, or equivalent

Job description

Job Summary

A vacancy exists for a Data Scientist based at Life Healthcare Head Office reporting to Funders and Health Policy Executive. The successful incumbent will have the opportunity to utilize their natural curiosity for problem solving and technical expertise to ensure we are leveraging data effectively to drive decision-making within Life Healthcare.

Key Responsibilities

• Support the funder strategy and health policy development through the delivery of predictive and prescriptive analytics.
• Answer strategic questions and apply statistical and machine learning techniques to extract insights from structured and unstructured datasets to solve specific problems of business stakeholders.
• Work independently or collaboratively with other team members and the data and analytics team to develop relevant, actionable insights from data analyses.
• Partner with the data engineering team to identify areas of opportunity to effectively combine data from disparate sources.
• Provide technical expertise and data-driven support for engagements with funders.
• Demonstrate strong communication skills and an ability to present insights in a compelling and actionable way to a non-technical audience.

Qualifications

• Recommended Bachelors and preferably Honours-level degree in Computer Science, Data Science, Mathematics, Statistics, Actuarial Science, Economics or a cognate analytical field, or other equivalent qualifications.
• 4+ years of experience in an analytics environment, using statistical and machine learning techniques.
• Specific coding language experience (Python/SQL) would be an advantage.
• Deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail.
• Abstract thinker with the ability to solve complex problems in creative, sustainable ways.
• Strong critical thinking skills and ask relevant questions to improve processes and build efficiencies.
• Talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities.
• Proactive and self-motivated with the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight.
• Passion about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends.
• Healthcare experience will be a strong advantage.

Competencies

• Planning and organising.
• Analysis and problem-solving.
• Excellent communication skills.
• Ability to handle pressure.
• Presentation skills.
• Building relationships.
• Resilience.
• Managing deadlines.

Application Information

Internal applicants – Before making an application you are requested to discuss your application with your line manager. External candidates will also be considered.

Email: ****** – Closing date: Friday, November 28, ****

Life Healthcare is an Equal Opportunity Employer.

Thank you for your interest in this opportunity.

Kindly note that only shortlisted candidates will be contacted.

Applicants who have not been contacted within two weeks of the closing date of this advert should consider their application as unsuccessful.

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