Senior Data Scientist (Advanced Coding Focus)

Posted 5 Hours Ago
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Johannesburg, Gauteng, ZAF
In-Office
Senior level
Financial Services
The Role
Design, develop, and deploy scalable machine learning models and production-ready data pipelines. Work with large datasets, optimize algorithms, and collaborate with cross-functional teams to turn data into actionable business insights. Maintain data infrastructure and improve model performance and scalability.
Summary Generated by Built In
Empowering Africa’s tomorrow, together…one story at a time.

With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary

We are seeking a highly skilled and innovative Data Scientist with a strong coding background to join our dynamic team. This role is ideal for a problem-solver who thrives on turning complex data into actionable insights and building scalable data-driven solutions. Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or related field . 7+ years’ experience in a Data Scientist or similar role. Strong programming skills in Python, R, or similar languages Proven experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Solid understanding of data structures, algorithms, and software engineering principles Experience working with SQL and large-scale data platforms (e.g., Hadoop, Spark) Ability to write efficient, scalable, and maintainable code

Job Description

We are seeking a highly skilled and innovative Data Scientist with a strong coding background to join our dynamic team. This role is ideal for a problem-solver who thrives on turning complex data into actionable insights and building scalable data-driven solutions. Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or related field . 7+ years’ experience in a Data Scientist or similar role. Strong programming skills in Python, R, or similar languages Proven experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Solid understanding of data structures, algorithms, and software engineering principles Experience working with SQL and large-scale data platforms (e.g., Hadoop, Spark) Ability to write efficient, scalable, and maintainable code

Key Responsibilities

  • Design, develop, and deploy advanced machine learning models and statistical solutions

  • Write clean, efficient, and production-ready code for data pipelines and models

  • Work with large, complex datasets to extract insights and support decision-making

  • Collaborate with cross-functional teams to translate business needs into technical solutions

  • Optimize algorithms and improve model performance and scalability

  • Build and maintain data infrastructure and automation processes

  • Key Competencies
    • Strong analytical and problem-solving skills

    • High attention to detail and data accuracy

    • Ability to communicate complex concepts clearly

    • Self-driven with a passion for continuous learning

  • Advantageous
    • Experience in cloud platforms (AWS, Azure, GCP)

    • Exposure to MLOps and model deployment pipelines

Education

Bachelor's Degree: Mathematics, Master's Degree: Data Science (Required)

Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised

Skills Required

  • Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or related field
  • 7+ years experience in a Data Scientist or similar role
  • Strong programming skills in Python or R (or similar languages)
  • Proven experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Solid understanding of data structures, algorithms, and software engineering principles
  • Experience working with SQL and large-scale data platforms (Hadoop, Spark)
  • Ability to write efficient, scalable, and maintainable production-ready code
  • Strong analytical and problem-solving skills
  • High attention to detail and data accuracy
  • Ability to communicate complex concepts clearly
  • Self-driven with a passion for continuous learning
  • Experience in cloud platforms (AWS, Azure, GCP)
  • Exposure to MLOps and model deployment pipelines

Absa Group Compensation & Benefits Highlights

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

  • Healthcare Strength Medical aid, group life, disability, and funeral cover are described as comprehensive, with features such as terminal‑illness advances and beneficiary grocery benefits. Wellness and assistance offerings support overall financial and personal wellbeing.
  • Retirement Support A pension fund and group retirement arrangements are positioned as core benefits within fixed remuneration. Retirement coverage is embedded alongside other protections as part of standard employment.
  • Equity Value & Accessibility Employee share‑ownership (eKhaya) and equity‑linked awards broaden wealth‑sharing, with dividends or cash‑equivalent participation in some markets. This provides longer‑term value beyond base pay.

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The Company
HQ: Johannesburg
39,055 Employees
Year Founded: 2018

What We Do

Absa Group Limited (Absa) has forged a new way of getting things done, driven by bravery and passion, with the readiness to realise growth on the African continent and beyond. We’re a truly African brand, inspired by the people we serve in Botswana, Ghana, Kenya, Mauritius, Mozambique, Seychelles, South Africa, Tanzania, Uganda, and Zambia. We also have representative offices in China, Namibia, Nigeria and the United States, as well as securities entities in the United Kingdom and the United States, along with technology support colleagues in the Czech Republic.

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