Jobs at Pineapple

Role Summary:

• Selling and upselling policies.

Responsibilities & Requirements:

• Persuade clients to buy policies
• Ensure you follow compliance when contacting clients
• Meeting all sales targets set
• Ensure you capture the correct risk information
• Address uncertainties around the App
• Explain policy or App features
• Address concerns
• Upselling to existing customers
• Setup of systems for the call centre, including but not limited to the process of getting leads, managing the leads, tracking progress and implementing of appropriate measurements and targets
• Ensure that all communication to customers is on appropriate standards – achieving a balance between being professional, friendly and courteous while maintaining the informal and relaxed Pineapple culture

Preferred Experience/Skills:

• Minimum Matric
• Certificate in Sales Advantageous
• 2+ Experience in sales
• DOFA under 2 years, no RE
• Having an RE will be advantageous
• Team player
• Detail oriented
• Problem solver
• Lead generation
• Solutions orientated
• Customer relationship management

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We are currently seeking a highly skilled and experienced Claims Agent with a focus on short-term motor insurance to join our growing team. If you are passionate about delivering exceptional service and making a real difference in the lives of our customers, we want to hear from you!

Key Responsibilities:

As a Short-Term Motor Insurance Claims Agent, you will be responsible for:

• Managing and processing motor insurance claims in a timely and efficient manner.
• Assessing and validating claim information, including reviewing documentation and conducting investigations to determine coverage and liability.
• Collaborating with internal departments and external stakeholders, such as repair facilities, assessors, and legal counsel, to ensure claim resolution.
• Communicating with policyholders and claimants to gather information, provide updates, and answer questions related to the claims process.
• Maintaining accurate records and documentation throughout the claims process.
• Identifying and escalating potential fraudulent activities or discrepancies for further investigation.
• Ensuring compliance with regulatory and company guidelines and procedures.
• Contributing to the continuous improvement of claims processes and customer experience through feedback and innovative solutions.
• Participating in training and development opportunities to enhance industry knowledge and professional skills.

Requirements:

• A minimum of 3 years of experience in claims handling, specifically in short-term motor insurance.
• In-depth knowledge of the South African insurance market, regulations, and industry trends.
• Strong analytical, problem-solving, and decision-making skills.
• Exceptional communication and interpersonal skills, with the ability to empathise with customers and provide clear explanations.
• Detail-oriented and highly organised, with the ability to manage multiple claims simultaneously.
• Proficiency in Microsoft Office or Google Suite and experience with claims management software.
• A commitment to providing excellent customer service and upholding Pineapple's values and mission.
• Relevant insurance qualifications (e.g., RE5: Short-Term Insurance COB training or higher) are highly desirable.

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Job Responsibilities

• Lead the actuarial functions focusing on short-term personal lines insurance, especially motor insurance.
• Develop and implement sophisticated risk assessment, pricing, underwriting, and reserving methods.
• Utilize data science abilities to scrutinize data, providing valuable insights that influence crucial business decisions.
• Create models to evaluate potential scenarios and opportunities, furnishing strategic advice to the executive team.
• Contribute significantly to product development and strategic initiatives, leveraging both actuarial and data science skills.
• Play an instrumental role in defining the structure of actuarial functions within the company.
• Remain informed about the latest AI and tech developments and identify opportunities to incorporate them into the company’s actuarial operations.

Preferred Certifications

• Bachelor's degree in Actuarial Science, Statistics, or a similar field. Professional actuarial qualifications are strongly preferred.
• Significant experience in actuarial work, preferably within the short-term personal lines insurance sector.
• In-depth knowledge of risk assessment, pricing, underwriting, and reserving methodologies.
• Demonstrated experience in data analysis and predictive modelling.
• Proficiency in programming languages, such as Python or R.
• A proactive interest in AI and technology, along with a commitment to keeping abreast of recent advancements in these areas.
• Exceptional communication and leadership abilities, with proven experience in providing strategic advice to senior management.

Minimum Experience Level

• 3 years+

Behavioural Competencies

• Decision Making
• Influencing
• Building Trusting Relationships
• Managing Work and Quality Orientation
• Stress Tolerance

Candidate Profile :

• Strong analytical skills and attention to detail.
• Excellent communication and interpersonal skills.
• Ability to work independently and collaboratively with cross-functional teams.

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The role of a Junior Machine Learning Engineer within the short-term motor insurance industry is centred around supporting the Data Science and Machine Learning team in designing, developing, and deploying machine learning models, ensuring high performance and alignment with business goals.

Responsibilities:

Model Development:

• Assist in the design and development of machine learning algorithms and models.
• Experiment with new algorithms and techniques in machine learning and deep learning.
• Participate in prototyping and validation of models to meet business objectives.

Data Management:

• Collaborate with the data engineering team to understand and utilize company data sources.
• Preprocess and clean data to ensure optimal performance of machine learning models.
• Explore datasets to understand patterns, anomalies, and data quality.

Implementation & Deployment:

• Work closely with software engineers to integrate machine learning models into products, services, and workflows.
• Monitor model performance and accuracy in real-world applications.
• Assist in model updating and maintenance procedures.

Collaboration & Communication:

• Collaborate with interdisciplinary teams, including data engineers, software developers, and business analysts.
• Communicate findings, ideas, and progress effectively to both technical and non-technical stakeholders.
• Continuous Learning:
• Stay updated with the latest trends, techniques, and best practices in machine learning.
• Participate in internal and external training sessions, workshops, and conferences.

Qualifications:

Education:

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. A Master's degree is a plus.

Technical Skills:

• Proficiency in Python, with experience using libraries like TensorFlow, Keras, PyTorch, and scikit-learn.
• Familiarity with SQL and relational databases.
• Basic understanding of cloud platforms like AWS, Google Cloud, or Azure.
• Experience with version control systems, preferably Git.

Experience:

• 0-2 years of experience in machine learning, data analysis, or a related field.
• Experience in solving analytical problems using quantitative approaches.
• Experience with deep learning is a plus.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Good communication skills, both written and verbal.
• Ability to work in a fast-paced, collaborative environment.
• Curiosity and eagerness to learn.

Preferred (but not required):

• Exposure to big data technologies like Spark, Hadoop.
• Experience with machine learning deployment tools such as Docker, Kubernetes, or MLflow.

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In the rapidly evolving insurance landscape, data stands as a critical asset to drive informed decisions, enhance customer experiences, and optimize processes. Pineapple Tech PTY LTD is looking for a dedicated Junior Data Engineer with a penchant for transforming intricate datasets into actionable insights. This role will lay the groundwork for extracting valuable information from raw data sourced from various channels using tools like MongoDB, Google Big Query, AWS, and Snowflake.

Responsibilities:

Insurance Data Handling:

• Extract, transform, and load (ETL) insurance-related data such as policy details, claims data, customer profiles, and more.
• Transform nested collections from MongoDB into structured data suitable for our insurance data lake.

Database Management & Integration:

• Manage and query data using platforms like Google Big Query, AWS, and Snowflake, ensuring data is accessible and actionable for insurance analysts and stakeholders.
• Optimize data flow and integration between core insurance systems, CRM platforms, and external data providers.

Data Quality & Compliance:

• Ensure all processed data adheres to insurance industry regulations and data protection standards.
• Regularly audit data pipelines and storage solutions to ensure data quality and accuracy.

Collaboration & Support:

• Work alongside insurance actuaries, underwriters, and claims specialists to provide data essential for risk assessments, pricing models, and claims processing.
• Collaborate with the data science team to develop predictive models and analytics dashboards.

Professional Development:

• Engage in continuous learning, especially around insurance-specific data needs and trends.
• Stay updated with best practices in insurance data management and data privacy regulations.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Experience with MongoDB and knowledge of data extraction from nested collections. Familiarity with cloud solutions like Google Big Query, AWS, and Snowflake.
• Proficient in SQL and scripting languages such as Python.
• Basic understanding of insurance concepts, products, and services.
• Strong analytical mindset and attention to detail.
• Excellent communication skills, both verbal and written.

Skills and Knowledge:

• Previous experience in the insurance sector or exposure to insurance data.
• Knowledge of insurance regulatory and data compliance standards.
• Certification in MongoDB, AWS, Google Cloud, or Snowflake.