Data Scientist (Intermediate)

In brief

**Overview** This role is for an Intermediate Data Scientist at Discovery. The position involves leveraging Discovery’s extensive clinical, demographic, and operational data to create opportunities that benefit customers. The successful candidate will work within a specialized and growing team focused on optimizing and improving client services for Discovery’s client schemes. **What you will do** Key responsibilities may include, but are not limited to: * Connecting with various stakeholders to understand data within a healthcare context. * Mining large structured and unstructured datasets to uncover new insights for healthcare efficiency and interaction strategies. * Researching and applying the latest machine learning algorithms and AI techniques. * Presenting data and model findings in a manner that provides actionable insights. * Implementing results for use in both internal and external environments. * Monitoring model performance. * Improving processes and databases when opportunities arise. **Requirements (from the original advert)** * **Technical Skills:** * Expertise in data science programming languages such as R, Python, and Scala. * Expertise in data manipulation skills, including SQL, for extracting, transforming, and loading data. * Experience in interactive data exploration and data-driven storytelling. * Understanding and application of Big Data and distributed computing principles (Hadoop, MapReduce). * 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 them. * Strong ability to communicate findings and recommendations effectively through visual, verbal, and written means. * Experience with production environment machine learning and AI. * Proficiency in version control systems such as Git for collaborative coding and maintaining code integrity. * Hands-on experience with Big Data systems (preferred). * **Education:** * Honours or Master’s degree in Data Science, Statistics, or Applied Mathematics, coupled with some experience in software engineering, computer science, or working with large disparate datasets; OR * Honours or Master’s degree in Computer Science or Software Engineering, with solid experience in statistical modeling, data mining, and machine learning. * Other analytical qualifications will be considered if accompanied by relevant experience. * **Experience:** * A minimum of 2-3 years’ work experience in a data science position. **Who should apply** The ideal candidate is motivated, productive, and works well within a team. They should possess a passion for data exploration and navigating complex healthcare environments. This role suits a self-starter with a willingness to learn and grow exponentially, along with a restless curiosity towards data and uncovering unknown correlations. The candidate must be able to work cohesively in a team, balance multiple priorities, and be capable of working alone without supervision when required. High levels of attention to detail, resilience, enthusiasm, energy, and drive are essential, as is a positive, can-do attitude and the ability to adapt to emerging technologies and tools. The candidate must be ethical, able to maintain confidentiality and manage boundaries, and align with Discovery’s values and core purpose. **Deadline** Not specified **Reference** Original posting: https://www.myjobmag.co.za/job/data-scientist-intermediate-discovery-limited-10 Source: myjobmag

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

• At least 2 years of experience.

• Python
• SQL
• Git

Extracted automatically from the advert; confirm requirements on the original listing.

Job description

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