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Data Science Head

firstrand
Johannesburg
ZAR 1 200 000 - 1 800 000
Description du poste

time left to apply End Date: May 20, 2025 (5 days left to apply)

job requisition id R33372

Job Description

The Head of Data Science is a strategic leadership role focused on leveraging data to drive business decisions and innovation. This involves leading a team of Data scientists, developing and implementing data science strategies, ensuring data quality and governance, and aligning data initiatives with the bank's overall goals.

The role also requires collaboration with various departments and staying up to date with the latest advancements in Data science technologies.

Role Purpose:

This role is within FNB Retail CDAO, supporting the Retail Customer Segments, with Private Segment being the focus. We are responsible for defining and producing contextual customer features and models that support the business to make data-driven, customer-centric decisions. We collaborate with multiple stakeholders in designing and implementing customer strategies. The successful candidate will be empowered to think creatively, take ownership of their work, and be accountable for their teams' performance. They will generate actionable insights and recommendations that influence change, create efficiencies, and optimize outcomes for customers and the business.

Key Responsibilities:
  • Strategic Leadership: develop and execute a data science strategy that aligns with the bank's strategic objectives, including defining data goals, establishing data governance policies, and identifying relevant data sources.
  • Team Leadership: manage and mentor a team of data scientists, ensuring their professional development and providing them with the necessary resources and tools.
  • Solution Development: oversee the development and implementation of data-driven solutions, such as predictive models, analytics dashboards, and data-powered applications, to address specific business challenges.
  • Collaboration: work closely with other departments, including business units, IT, data governance, and other supporting data disciplines, to understand business needs, translate them into data science projects, and ensure alignment with organizational goals.
  • Data Governance: ensure data quality, accuracy, security, and compliance with regulatory requirements, including data privacy and data security policies.
  • Technology Management: stay abreast of the latest advancements in data science technologies and tools and make recommendations for their adoption within the bank.
  • Performance Management: evaluate the performance of data science projects and initiatives, identifying areas for improvement and making necessary adjustments.
Qualifications and Experience:
  • Minimum Qualification: A relevant bachelor's degree in Statistics, Data Science, Econometrics, Actuarial Science, Applied Mathematics, or Computer Science.
  • Preferred Qualification: Honours Degree.
  • Experience: A minimum of 5 years' relevant experience within Data Science.
  • A minimum of 2 years proven leadership experience in managing and mentoring Data Science teams, setting strategic direction, and driving results.
  • Strong knowledge of Data Science principles, methodologies, and tools including Machine learning, Statistical modelling, and Data visualization.
  • Deep domain knowledge of the banking industry, business processes, and financial concepts is preferred.
  • Strong analytical and problem-solving skills. Able to analyze complex data, identify patterns and trends, and develop data-driven solutions.
  • Excellent communication and interpersonal skills to effectively collaborate with stakeholders and present data insights to diverse audiences.
  • Solid Project management skills and experience to oversee the development and implementation of Data science projects.
  • End-to-end Model development experience (predictive and prescriptive analytics).
  • Intermediate to advanced level of proficiency in SAS, SQL, or Python.
  • Intermediate to advanced working knowledge of advanced analytical techniques, i.e., statistical methodologies, segmentation, optimization, and experimental design.
Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

20/05/25

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. Candidates can disclose their disability information voluntarily. The Bank will keep this information confidential unless required by law.

time left to apply End Date: May 20, 2025 (5 days left to apply)

Introduce Yourself

Introduce yourself to our recruiters, and we will get in touch if there's a role that seems like a good match.

Should you have any queries, please log it via MyQ.

About Us

Serving retail and commercial customers, FNB offers life and short-term insurance, innovative savings and investment products, and a digital universe of solutions. It has a market-leading app and a globally recognized rewards system in eBucks. FNB has won multiple awards, including the Strongest Banking Brand in the World in the Brand Finance Banking 500 2023 report. FNB provides opportunities for a rewarding career, especially if you want to make a meaningful impact on people's lives.

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