Data Analyst - Rneg - Sandton The client based in Sandton is seeking a motivated individual with strong
Data Scientist Business Unit: Discovery Health Function: Data Analysis Date: 2 Oct 2023 Discovery Health Health Data Scientist About Discovery Discovery's core purpose is to enhance and protect people's lives Discovery's core assets is its large and diverse data, covering health, wellness, driving, investments teams make this happen. About the Data Science Lab The Group Data Science Lab applies predictive analytics analytics, machine learning, big data, and operations research skills to run and to support key projects
Proficient in Python programming, with experience using data analysis libraries such as Pandas, NumPy, and SciPy databases. Familiarity with Jupyter for interactive data analysis. Strong analytical skills with the ability translate complex data into actionable insights for non-technical stakeholders. Experience with data warehousing for their data lake and Superset for dashboarding. Nice to Have: Experience with handling data from market nature of data that they hold for customers and internally Use your knowledge of the business and data entities
Reporting & Data Analyst to help drive and deliver the data offering across our clients business to unlock the data insights that drive business. The individual will be part of a data team working to to deliver impactful and relevant data insights to the sales, finance and procurement teams and for the years practical experience in data analysis and reporting Knowledge on data visualisation tools are an advantage advantage Good understanding of Financial data will be advantageous
Job Title: Data Scientist Salary: R25 000 – R30 000 CTC. Closing date : End March 2024 The Data Scientist Scientist role is pivotal in optimizing data value through extraction, collection, analysis, and dissemination information from various sources. Leveraging Big Data/Data Science technologies, you'll design, develop, projects, employing machine learning techniques, data mining, and anomaly detection systems. Overview Overview of Roles and Responsibilities: Apply advanced data science techniques to solve complex problems in a
Job Title: Data Scientist
Salary: R25 000 March 2024
The Data Scientist role is pivotal in optimizing data value through extraction, information from various sources. Leveraging Big Data/Data Science technologies, you'll design, develop projects, employing machine learning techniques, data mining, and anomaly detection systems.
Overview Responsibilities:
and skilled Data Analyst to join our dynamic and diverse team of Data Specialists. As a Data Analyst, you play a crucial role in leveraging data to solve problems, turning data into valuable insights that drive career success. This position involves utilizing data analytics techniques to shape business strategy And/or Outputs • Source, cleanse, refine, and verify data integrity for analysis purposes. • Extract insights appropriate. • Integrate the company's data with third-party data sources, both structured and unstructured
skilled Data Specialist to join our CDS Team. The role requires a deep understanding of data pipelines ability to create them using our in-house developed data framework, built and maintained in Python. This
Data Scientist Business Unit: Discovery Health Function: Application Systems Date: 14 Mar 2024 Discovery Discovery Health Data Scientist About Discovery Discovery's core purpose is to make people healthier and to and meaningful change within our society. About (Data Science Unit) The Risk Intelligence team is responsible Discovery's vast clinical, demographic, and operational data. The successful applicant will be working within with a multitude of stakeholders to understand the data in a healthcare context Mining large structured
Elevate Your Career in Data Are you ready to embark on a data-driven journey that powers the backbone innovative Intermediate Microsoft Azure BI Developer / Data Engineer to join our client's team and revolutionise mile. If you're passionate about transforming raw data into actionable insights and thrive in the fast-paced Microsoft SQL Server, SSIS, SSAS, Power BI, Azure Data Factory, Azure Fabric, and TimeXTender. Experience implementing scalable and reliable data solutions in Azure. Solid understanding of data warehousing concepts, ETL