Data Scientist

Posted 3 Days Ago
21 Locations
Remote
Mid level
Financial Services
The Role
The Data Scientist will analyze large data sets, develop machine learning models, and create data visualizations to support business decision-making in a banking context.
Summary Generated by Built In
Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions.

Qualifications

 

Experience Required

  • 3–4 years’ experience in Data & Analytics / Data Monetisation
  • Experience working with structured and unstructured data
  • Strong knowledge of data architecture, ETL and data flows
  • Experience in data mining and statistical analysis
  • Proficiency in SAS, R or Python and visualisation tools (Power BI, Tableau)
  • Experience in machine learning modelling and predictive analytics
  • Understanding of banking data, systems and products
  • Exposure to software engineering, BI and project delivery

Essential Functions

  • Develop and deploy machine learning and statistical models to solve business problems
  • Perform data preprocessing, cleansing and feature engineering to improve model performance.
  • Analyse large datasets to identify patterns, trends and insights for decision-making.
  • Design and maintain data pipelines and ETL processes to support analytics.
  • Translate business needs into data science solutions in collaboration with stakeholders.
  • Build and maintain predictive models (credit risk, churn, propensity).
  • Present insights through visualisations and reports to business stakeholders.
  • Support model deployment and integration into production systems and ensure performance.

Additional Information

Behavioural Competencies:

  • Articulating Information
  • Challenging Ideas
  • Examining Information
  • Interpreting Data
  • Meeting Timescales
  • Producing Output
  • Providing Insights

Technical Competencies:

  • Data Analysis
  • Database Administration
  • Data Integrity Management
  • Machine Learning & Modeling
  • Knowledge Classification
  • Research & Information Gathering

Skills Required

  • 3-4 years' experience in Data & Analytics / Data Monetisation
  • Experience working with structured and unstructured data
  • Strong knowledge of data architecture, ETL and data flows
  • Experience in data mining and statistical analysis
  • Proficiency in SAS, R or Python and visualisation tools
  • Experience in machine learning modelling and predictive analytics
  • Understanding of banking data, systems and products
  • Exposure to software engineering, BI and project delivery

Standard Bank Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Standard Bank Group and has not been reviewed or approved by Standard Bank Group.

  • Leave & Time Off Breadth Leave options span vacation, study, parental, compassionate/family responsibility, sick/short‑term incapacity, sabbatical, recognition and optional unpaid leave, subject to country practices. This breadth provides flexibility to manage family, study, health, and rest needs.
  • Healthcare Strength Core protection includes medical cover and death/incapacity insurance, with many markets offering permanent health insurance and optional life/funeral or gap‑cover add‑ons. Wellness and counselling programs further strengthen day‑to‑day health support.
  • Fair & Transparent Compensation Formal remuneration materials emphasize equal pay for work of equal value, structured market alignment, and pay‑equity analyses alongside clawback/forfeiture provisions. This governance signals predictable, fairness‑oriented pay practices.

Standard Bank Group Insights

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The Company
Johannesburg
63,856 Employees
Year Founded: 1862

What We Do

As a brand with a legacy of 161 years in Africa, we have a deep understanding and belief in the boundless opportunities that this continent presents. Our vision extends beyond mere geography; it encompasses a profound recognition of the potential for growth that resonates within our people, customers, entrepreneurs, and all who share our unwavering commitment and passion for investing in Africa. With a presence in 20 countries across sub-Saharan Africa, we have cultivated a diverse community of the most skilled, innovative, and creative minds in the industry. Our purpose is to drive Africa's growth, acting as a catalyst for inclusive and sustainable economic development in the regions we serve. We strive to improve the lives of our fellow Africans by conducting business in an ethical and responsible manner. As a trusted partner, we consistently set higher standards and aspire to become better with each endeavour. We are more than just a banking institution; we are a driving force behind Africa's growth. Join us on this transformative journey. Together, we have the collective power to propel Africa into the future, making tangible progress for all who proudly call Africa home.

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