Job Vacancies at Badger Holdings (Pty) Ltd

Key Responsibilities

• Prepare and clean data for machine learning tasks (e.g. transformation, feature engineering).
• Conduct exploratory data analysis (EDA) to guide model development.
• Support the retraining and improvement of live models.
• Participate in model validation and performance evaluations.
• Monitor deployed models for performance issues or data drift.
• Assist in maintaining and troubleshooting ML pipelines and deployments.
• Help document data processes, models, and system workflows.

 What We’re Looking For

Essential Qualifications & Skills:

• Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or Actuarial Science.
• A curious, analytical mindset with a passion for working with data.
• Self-driven with strong initiative to learn and contribute meaningfully.

 Nice to Have (Advantageous):

• Internship or project experience in the insurance or financial services sector.
• Hands-on experience with ML or data analysis (academic or practical).
• Familiarity with Python, R, SQL, Snowflake, or ML platforms.

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What You’ll Do:

• Act as the key liaison between data science teams and various business units.
• Gather, define, and document both technical and business requirements for ML initiatives.
• Evaluate and report on the performance and impact of ML models on the business.
• Communicate insights to non-technical stakeholders in a clear, compelling way.
• Ensure that operational teams understand and make the most of ML outputs.
• Design intuitive dashboards and reporting tools to track model KPIs and outcomes.

Requirements

What You Bring:

Essential Qualifications & Skills:

• Degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or Actuarial Science.
• Strong capability to interpret model outputs and distill them into actionable business strategies.
• Excellent communication and stakeholder engagement skills.
• Solid understanding of data-driven decision-making.
• Experience in requirements gathering for data or ML projects.
• Ability to assess and articulate business value derived from ML solutions.

Preferred (Not Mandatory):

• Background in the insurance or financial services sector.
• Hands-on experience working with analytics or data science teams.
• Exposure to ML concepts and lifecycle.
• Familiarity with BI tools (e.g. Power BI, Tableau, Qlik Sense).
• Technical exposure to Python, R, SQL, or cloud platforms like Snowflake

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What You’ll Be Doing

• Build and maintain user-friendly Qlik application interfaces.
• Conduct and document data integrity checks across multiple models.
• Collaborate with data developers to troubleshoot and resolve data issues.
• Optimize dashboards and reports for performance, usability, and clarity.
• Handle ad hoc reporting and data requests from business users.
• Prioritize and manage incoming BI requests efficiently.
• Translate business needs into clear BI specifications and design briefs.
• Perform testing and validation of outputs for alignment with business expectations.
• Work closely with internal departments to support ongoing BI initiatives.
• Manage administrative tasks linked to BI project workflows.

What You Bring to the Team

Required:

• Minimum 1 year experience with Qlik or similar BI tools (e.g. Qlik Sense, Power BI, Tableau).
• Analytical mindset and problem-solving capabilities.
• Strong verbal and written communication skills.
• Meticulous attention to detail with a focus on data accuracy.
• Excellent time management and ability to juggle multiple priorities.
• Self-starter with the ability to work both independently and collaboratively.
• Enthusiastic about continuous improvement and innovation in BI practices.