Data Scientist Full Time Permanent

Data Scientist – Cape Town

A Data Scientist position is available in Cape Town, Western Cape, South Africa.

PBT Group has an opportunity for a Data Scientist to build and implement (ML) models to improve business processes resulting in efficiencies and cost savings.

Develop data driven insights to help identify trends and opportunities and provide solutions based on these insights.

Provide in depth analysis of data using data mining and profiling techniques to understand current business challenges and predict future needs.

Effective communication of results to stakeholders.

Duties – Data Scientist:

Develop information driven insights to identify trends and opportunities and provide solutions based on these insights:

• Manage data analysis and interpretation including modelling and simulation.
• Drive the advanced analytics capability within the team and company.
• Devise and promote creative data visualization to derive actionable intelligence.
• Forecast the performance of data relative to business needs.
• Develop recommendations based on data interpretation and analysis to transform behaviours.
• Develop automated tools and dashboards with IT team to provide real-time insights to business data.
• Design data integration from multiple systems into manageable data warehouses and analytic data models.
• Utilize strong research or technical skills to conduct business or industry-wide analysis of current and emerging best practices that support analytics engagement.
• Proactively improve analytic approaches, methodologies, data and reporting capabilities.
• Translate data analytics findings into actionable business insights.
• Critically evaluate information gathered from multiple sources and reconcile conflicts.
• Develop and deliver compelling presentation using data and graphics to communicate insights and implications for decision making.
• Provide subject matter expertise for all data related processes and analysis.
• Actively participate and influence continuous improvement to the organisations data warehousing and Business intelligence solutions with a motive for eliminating redundant and manual data extraction and processing.
• Extract meaning from complex data relationship and develop reports to enable effective use of the resulting knowledge.

Develop information driven insights to identify trends and opportunities and provide solutions based on these insights:

• Manage data analysis and interpretation including modelling and simulation.
• Drive the advanced analytics capability within the team and company.
• Devise and promote creative data visualization to derive actionable intelligence.
• Forecast the performance of data relative to business needs.
• Develop recommendations based on data interpretation and analysis to transform behaviours.
• Develop automated tools and dashboards with IT team to provide real-time insights to business data.
• Design data integration from multiple systems into manageable data warehouses and analytic data models.
• Utilize strong research or technical skills to conduct business or industry-wide analysis of current and emerging best practices that support analytics engagement.
• Proactively improve analytic approaches, methodologies, data and reporting capabilities.
• Translate data analytics findings into actionable business insights.

Drive change methodology and ensure implementation across all projects:

• Work with business to develop and implement change management strategies and plans that maximize user adoption and proficiency and minimize resistance by increasing benefit realization, value creation, ROI and the achievement of business results and outcomes.

Continuous improvement to ensure effective service:

• Ensure statutory and legislative knowledge is always current in order to resolve customer complaints, to advise the business on corrective solutions to mitigate risks and to improve the customer experience whilst complying with governance requirements.
• Ensure adherence to organisational policies, practices and procedures.
• Identify solutions to enhance cost effectiveness and increase operational efficiency.

Service delivery to ensure customer satisfaction:

• Maintain service, quality and desired outputs across the business process by ensuring compliance to tactical policies, procedures and standards.
• Establish productive operational relationships with key stakeholders in the various channels and administrative teams.
• Develop work routines in line with operational plans / schedules in order to manage achievement of service delivery goals.
• Share knowledge on, and participate in the creation of new standards, control systems and procedures to maintain service delivery.

Ensure cost efficiency through financial and corporate governance:

• Contribute to the development and implementation of fit for purpose budgets.
• Manage supplier relationships, and budgets associated with projects.

Manage quality people practices:

• Align own behaviour with the organisation culture and values.
• Share and transfer product, process and systems knowledge to colleagues.
• Collaborate and work with the HR and IT teams to deliver required service levels.
• Actively share information with other team members regarding successes, issues, trends and ideas.

Experience – Data Scientist:

• Data science experience
• 5 – 8 years’ experience applying analytical methods to business problems, including build and implementation of models (machine learning, GLM, etc.)
• Experience working in the general insurance industry will be advantageous
• Knowledge of SAS, SQL, PYTHON and HADOOP
• Strategic: Is able to understand, identify and acts on broader opportunities in order to drive longer term, value-adding change. Applies judgement effectively. Identifies and acts on market and/or competitor trends/opportunities
• Customer: Putting the customer at the heart of business decisions and driving to improve value for customers.
• Collaboration: Creates trust, respect and builds meaningful relationships. Able to handle a wide range of relational challenges to ensure collaboration across boundaries.
• Leading with Influence: Influences and rallies people behind common goals; actively supports growth and inspires others to exceed expectations. Communicates clear strategies and objectives for own function.
• Innovation: Generates creative/out of the box solutions. Challenges the status quo and/or demonstrates ability to relate to challenges from a range of diverse but relevant perspectives.
• Willing to take calculated risks when introducing novel ideas.
• Personal Mastery: Learns and actively works to build self-awareness; develop through experience and feedback from others. Copes effectively with stress and has the resilience to take on stretching and challenging assignments. Adjusts effectively to work within new work structures; processes; requirements and cultures.
• Executing: Displays consistent energy, drive and perseverance in order to deliver results.
• Demonstrates a willingness to take calculated risks to achieve stretch performance goals.

Qualifications / Certification – Data Scientist:

• Bachelor’s / Honours degree in either Mathematics / Statistics, Actuarial Science, Computer Science, or Information systems.

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