Data Scientist (Junior)

Data Science

  • AvailabilityPermanent
  • Experience3+ Years
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Data Scientist (Junior)

Data ScienceGauteng

A leader in the Insurance space, based in Midrand has a vacancy for a Junior Data Scientist. The Junior Data Scientist contributes to the organisational goals by extracting quantifiable insights from data assets by using machine learning, AI and statistical analysis to deliver valuable business insights that helps with strategic decisions.

Job Responsibilities:

  • Business problem identification
  • Relationship building across the business
  • Data gathering (internal and external)
  • Follow instructions from manager and meet timelines
  • Sign-off work from peers and manger
  • Some instances piece of work to form part of larger project.
  • Deliver on project outcomes and timelines management
  • Data cleaning
  • Responsible for upskilling in data, modelling and business knowledge
  • Feature extraction and design
  • Machine learning algorithms
  • Presentation and communication of results up to exco level
  • Implementation of models/data products
  • Monitoring and quantification of model/data product's effects

Requirements:

  • Focussing on customer needs and satisfaction
  • Sets high standards for quality and quantity; Monitors and maintains quality and productivity; Consistently achieves project goals; Works in a systematic, methodical and orderly way.

  • Gains clear agreement and commitment from others by persuading, convincing and negotiating; Makes effective use of political processes to influence and persuade others; Promote ideas on behalf of oneself or others; Makes a strong personal impact on others; Takes care to manage one's impression on others; Effectively exploring alternatives and positions to reach outcomes that gain the support and acceptance of all parties and builds collective support or agreement.

  • Applying specialist and detailed technical expertise; Uses technology to achieve work objectives; Develops job knowledge and expertise (theoretical and practical) through continual professional development; Demonstrates an understanding of different departments and functions.

  • Takes responsibility for actions, projects and / or people; Initiates  and generates activity and introduces changes into work processes; Makes quick, clear decisions which may include tough choices or considered risks; Applies sound judgement; Comparing data from different sources to draw conclusions, using effective approaches for choosing a course of action or developing appropriate Solutions

  • Analyses numerical data and all other sources of information, to break them into component parts, patterns and relationships; Probes for further information or greater understanding of a problem; Makes rational judgements from the available information and analysis; Demonstrates an understanding of how one issue may be a part of a much larger system.

Essential:

  • Grade 12 (Standard 10) with University Entrance (NQF4)
  • 3-year degree in Information Technology / Sciences / Informatics / Applied Mathematics / Statistics / Quantitative sciences / Actuarial sciences / Data Mining

Desirable:

  • Master’s Degree in Information Technology / Sciences / Informatics / Applied Mathematics / Statistics / Quantitative sciences / Actuarial sciences / Data Mining

Skills:

  • Deep knowledge of Statistics
  • Programming (SAS/R/SQL)
  • Basic business and accounting principles
  • Basic database knowledge
  • Machine learning techniques
  • Presentation tools (Powerpoint)
Skills
  • Machine Learning
  • Data Science
  • SAS
  • R Language
  • SQL
  • Quantitative Science
  • Actuarial Science
Requirements
  • Education Tertiary Diploma
  • Experience 3+ Years

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