Senior Data Scientist

Location Cape Town
Discipline: IT & Telecoms
Job type: Permanent
Contact name: Jacqui Dill

Contact email: jacqui@networkersint.co.za
Job ref: 38906
Published: 3 days ago

Overview:

Got a knack for turning messy data into magic? Our client is looking for a Senior Data Scientist who can build smart models, uncover hidden insights, and help drive real business impact. If you speak fluent Python, think in algorithms, and dream in dashboards—this ones for you.

Responsibilities:

  • Create and deliver data-driven solutions that add business value

  • Formulate business problems to enable statistical modeling and select the right statistical tools and techniques

  • Identify and develop predictive and prescriptive models to enable better decision-making

  • Delve for insights in data and processes to help improve the business

  • Contribute to the development of differentiated, superior solutions that meet stakeholder and business requirements

  • Model and frame business scenarios that impact critical business processes and decisions

  • Collaborate with business stakeholders to identify problems and opportunities that may be addressed with statistical modeling or machine learning

  • Prepare the data for analysis and modeling, including data cleaning, standardization, transformation, dimension reduction, and feature engineering

  • Interpret results and translate findings into clear and actionable insights

  • Communicate findings to business with various skill levels and roles

  • Assist with monitoring and reporting on model accuracy after it has been embedded in operations

  • Assist with monitoring and managing cloud expenditure and budget

  • Lead and mentor team members and collaborate in problem-solving

  • Lead projects and manage delivery expectations

Qualifications:

  • Postgraduate degree in qualitative disciplines with significant exposure to mathematics, statistics, and computer science

  • Degree in mathematics, statistics, engineering, computer science, or other quantitative field

  • 4+ years of data science experience and more than 3 years of experience in software/cloud development

  • Extensive experience with at least one programming language (e.g., Python), business analytics software (e.g., SAS), statistical package (e.g., R)

  • Deep theoretical understanding of statistical methods and machine learning techniques

  • Understanding of artificial intelligence solutions and techniques

  • Industry experience in insurance

  • Competencies in business acumen, drive for results, change and innovation, numeric and analytical skills, attention to detail, process skills, and communication skills

Day-to-day:

The Senior Data Scientist will be responsible for formulating business problems, identifying and developing predictive and prescriptive models, preparing data for analysis and modeling, interpreting results, communicating findings to business stakeholders, and leading and mentoring team members.

Ready to turn data into decisions? If this sounds like your kind of challenge, we’d love to hear from you.