A registered financial service provider with a dedicated, diverse team of innovative thinkers and doers is looking for a dynamic data scientist. Our mission is to leverage technology to drive change and lead with innovation. If you’re passionate about planning, building, optimising, and implementing quantitative analytical methodologies and advanced models to uncover actionable insights, this role could be an excellent fit for you.
Responsibilities
Data analysis: Analyse complex datasets to identify trends, patterns, and insights to guide business strategies and decisions
Model development: Build and implement predictive and prescriptive models using machine learning algorithms and statistical techniques
Data exploration: Conduct data preprocessing to ensure data quality, completeness, and suitability for analysis
Hypothesis testing: Design and execute experiments to test hypotheses and assess business initiatives’ impact
Visualisation: Create engaging data visualisations and dashboards to present findings and insights to stakeholders
A/B testing: Design and analyse A/B tests to optimise product features, user experience, and marketing campaigns
Qualifications and experience
Degree in data science, computer science, statistics, or a related field
Proven experience as a data scientist with at least five years of experience in data analysis and predictive modelling
Proficiency in data manipulation and analysis tools like Python or R
Strong knowledge of machine learning algorithms and statistical techniques
Experience with data visualisation tools such as Matplotlib, Seaborn, or Tableau
Proficiency in SQL for data extraction and manipulation
Familiarity with big data technologies and distributed computing (e.g., Hadoop, Spark) is advantageous
Strong problem-solving and critical-thinking skills
Contract details
Reference number: NG59734
Duration: Twelve-month contract position
Location: Johannesburg
Rate: R400 to R600 per hour, negotiable based on experience
For more information, please email Nokuthula at az.oc.egrem-e@galuhtukon or give her a call at 011 463 3633 to discuss this role and other opportunities.
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