Posted on :
9 Sep, 2021
9 Sep, 2021
Telesure Investment Holdings (Pty) Ltd (TIH), is the holding company of some of
South Africa’s leading financial service providers. Our portfolio includes shortterm
insurers, a long-term insurer, health insurance as well as an insurance and
personal finance comparison platform. Our origins date back to 1 June 1985, and
we have since grown into a group of subsidiaries that includes some of South
Africa’s most loved and recognisable brands. We exist to continuously find better
ways to give people peace of mind, whether it is to protect what they own, their
loved ones or their greater ambitions and life plans. We bring customer-focused
innovation and service excellence to the financial services industry. We’re an
undivided team who believe in leading through technology and pushing past their
limits. TIH is owned by BHL (SA) Holdings Limited, which has a vast global
Job Title: Manager: Data Science
Location: Dainfern, Gauteng, South Africa
Reference #: MDS 2021
Contract Type: Permanent
Salary: Market Related
Manage a small team that is responsible for delivering Data Science related
objectives in collaboration with the TIH relevant business units, using
mathematical and data related methods (e.g. machine learning, statistical
analysis, optimisation, etc.). Responsible for designing, implementing,
maintaining, measuring the effectiveness of (e.g. ROI), and optimising models
within TIH. These models should drive strategic intent and operational
Advanced and Predictive Analytics:
Employ machine learning techniques and build predictive, descriptive, and
behavioral models to help achieve various business performance indicators and
to help identify business opportunities, linking insights to actionable
Manage the continuous optimisation cycle of these models including
implementation, automation, reporting, measuring effectiveness, considering
impact on behaviours, considering impact of external factors, redesigning, etc.
Monitor and quantify the impact of models on TIH business, its customers (e.g.
customer experience)and other stakeholders.
Data and Analytics Strategy:
Plan all business and technical aspects of different data and analytics systems
and platforms. Understand features and properties, ensure data integrity of new
and existing tracking of these systems and platforms.
Information and Business Advice
Provide specialist guidance on the interpretation and application of predictive
analytics, resolving complex or contentious queries and issues and enabling
others to take appropriate actions.
Present and communicate models, results, etc. up to group exco level.
Develop stakeholder engagement through identifying stakeholders, finding out
their needs/issues/concerns and reacting to these to support the communication
of business information and decisions.
Design and implement Predictive or Renumeration models in consultation with
stakeholders (e.g. operational or business units). Build key relationships and
collaboration across the business. Assist your Data Science team colleagues
across the different areas of Data Science (Data, Analytics, Business
Intelligence, Business Analysis, Campaigns) with thoughtful input on methods,
logic and reasoning. Equivalently and effectively leverage the assistance of your
Data Science colleagues.
Insights and Reporting:
Contribute to the design and creation of reporting strategies and templates.
Lead execution of complex reports, identifying and interpreting complex patterns
and trends. Present, and communicate high-impact data and analytics insights
and recommendations to critical internal and external stakeholders.
Calculate the ROI of the projects and models and present to key stakeholders.
Perform complex statistical analysis and utilize data mining, modeling, and
testing techniques to enable data analysis.
Understand the different business areas or critical business challenges/
Leadership and Direction:
Communicate the actions needed to implement the function’s strategy and
business plan within the team; explain the relationship to the broader
organisation’s mission, vision and values; motivate people to commit to these
and to doing extraordinary things to achieve local business goals.
Develop and propose own performance objectives; take appropriate actions to
ensure achievement of agreed objectives, using the organisation’s performance
management systems to improve personal performance.
Manage and report on team performance; set appropriate performance:
objectives for direct reports or project / account team members and hold them
accountable for achieving these, taking appropriate corrective action where
necessary to ensure the achievement of team / personal objectives.
Manage key aspects of the data management system with guidance from senior
colleagues. This includes being responsible for developing or operating key
elements of the system.
Review existing operations in own area of work and other business units and
implement innovation processes to generate new ideas and ensure the required
continuous improvement outcomes are delivered.
Manage a portfolio of projects while reporting to senior colleagues. Deliver on
project outcomes and manage timelines effectively.
Organisational Capability Building:
Use the organisation’s formal development framework to identify the team’s
individual development needs. Plan and implement actions, including continuing
professional development specified by professional or regulatory institutions, to
build their professional capabilities. Provide informal training or coaching to
others throughout the organisation in own area of expertise to enable others to
improve performance and fulfill personal potential.
Personal Capability Building:
Act as subject matter expert in an area of expertise and take responsibility for
personal development in areas including (but not limited to) data, modelling,
programming, behavioural analytics, industry and our business through
continuing professional development, attending conferences, and reading
Grade 12/ SAQA Accredited Equivalent (Essential)
3 year degree in Information Technology / Sciences / Informatics / Applied Mathematics / Statistics / Quantitative sciences / Actuarial sciences / Data Mining / Economics (Essential);
Master’s Degree in Information Technology / Sciences / Informatics / Applied Mathematics / Statistics / Quantitative sciences /
Actuarial sciences / Data Mining / Economics (Advantageous); Completion of MOOC’s (eg, EdX, Coursera) (Advantageous)
6 or more years working experience within an analytical, data science or computer science environment (Essential);
Experience in the Financial Services Industry, Short-Term Insurance (Advantageous)
2 – 4 years management team lead experience of a small team 2-6 people (Essential)
SAQA Accredited Equivalent – It is the onus of the applicant to provide TIH and
its subsidiaries with certified evidence that their qualification(s) meet the
equivalent NQF level required for this role at time of application. As a registered
Financial Service Provider, we are mandated to ensure that all our
representatives are and remain fit and proper at all times. By applying for this
role, you consent to having your relevant qualification and or accreditation or
confirm that you are working towards meeting the competency requirements.
You further consent to the relevant information being verified.
Application Deadline: 13/09/2021