Current Jobs at Badger Holdings (Pty) Ltd

What You’ll Do:

• Strategise and Execute Campaigns: Design and implement digital marketing campaigns across Google, Meta, LinkedIn, and programmatic platforms.
• Drive Results: Use data and insights to continuously optimise campaign performance, enhancing ROI and meeting KPIs.
• Collaborate and Lead: Work closely with the digital team to align campaigns with business objectives, work with senior digital marketing specialists, and foster knowledge-sharing.
• Data-Driven Insights: Produce detailed campaign performance reports, turning analytics into actionable recommendations.
• Innovate: Stay ahead of industry trends, bringing fresh ideas to the table and driving continuous improvement in campaign strategies.

 What You’ll Need:

• Experience: A minimum of 3 years managing digital campaigns, including B2C products.

Skills:

• Expertise in Google Ads, Meta, LinkedIn, and programmatic tools.
• Proficiency in analytics platforms (Google Analytics, HubSpot, etc.).
• Strong analytical and problem-solving skills.
• Exceptional attention to detail and organisational ability.

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What You'll Do

As a Process & Automation Specialist, you’ll:

• Drive transformation within our Digital Roadmap by digitising and scaling operations.
• Identify improvements: Analyse processes, recommend scalable automation aligned with long‑term strategy.
• Optimize operations: Boost lead handling, query resolution, contact centre efficiency, and customer experience.
• Lead tech evaluation: Collaborate with IT, Data, Softsure, and business units on vendor selection and tech integration.
• Track performance: Design KPIs, monitor workflows, and refine based on real‑time data.
• Champion automation: Work with AI specialists to map and implement data flow automation across departments.
• Reengineer processes: Engage cross‑functionally, redesign workflows, and ensure automation fits overall company goals.

Your Experience

We’re looking for someone who:

• Has 2+ years in process improvement or automation roles.
• Holds a formal qualification in Industrial Engineering, Information Systems, Computer Science, Business Management, or equivalent.
• is naturally solutions-driven, proactive, and excels at collaborating across teams.
• Loves simplifying complexity while maintaining service excellence, the very spirit of Dotsure’s values.

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What You’ll Do

Lead & Inspire

• Manage, mentor, and grow a team of Data Scientists into a powerhouse of delivery.
• Build a culture where experimentation, collaboration, and results thrive.

Design & Deliver

• Oversee the creation, testing, and deployment of machine learning models that solve real business problems.
• Measure, quantify, and communicate the commercial impact of analytics solutions.
• Keep models relevant, accurate, and laser-focused on business goals.

Bridge Tech & Business

• Be the go-to liaison between data science and decision-makers.
• Translate complex analytics into plain, actionable English
• Ensure operational teams adopt and use model outputs effectively.

Drive Excellence

• Gather, refine, and document requirements for analytics projects.
• Push for best practices, smarter modelling approaches, and continuous process improvement.

Requirements

What You’ll Need to Bring

Essential:

• Degree or Honours in Actuarial Science.
• 7+ years’ experience in insurance or financial services (short-term insurance? Even better).
• Proven track record in building statistical/machine learning models.
• Skill in turning model outputs into business gold.
• Leadership experience in Data Science, Analytics, or Actuarial teams.
• Experience with claims modelling & survival analysis in insurance.
• BI tool mastery (Power BI, Qlik Sense, Tableau, etc.).
• Exceptional stakeholder engagement and communication skills.

Preferred:

• Hands-on skills in Python, R, SQL, and cloud platforms like Snowflake.
• Experience shaping both technical and business requirements.
• Strong grasp of data-driven decision frameworks.

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What you’ll own:

• Prepping, cleaning & shaping raw data into machine-learning gold
• Finding hidden patterns no one else sees
• Building, validating & deploying ML models into production
• Keeping an eagle eye on model performance (and spotting drift before it drifts too far)
• Retraining and upgrading models so they stay sharp
• Designing intuitive dashboards & tools that make complex results look effortless

Requirements

You’ll thrive here if you:

• Have a Degree or Honours in Data Science or Actuarial Science
• Have 3+ years in insurance or financial services (short-term insurance = bonus points)
• Have 3+ years taking ML projects from raw data to deployment
• Can wrangle Python or R, SQL or Snowflake like a pro
• Have hands-on claims modelling, survival analysis & statistical modelling chops
• Understand time series forecasting like the back of your hand
• Are curious, independent, and allergic to “good enough”

Extra street cred for:

• Experience with ML platforms
• Power BI, Qlik Sense, Tableau wizardry