Senior Data Scientist (Advanced Coding Focus)

Posted 10 Hours Ago
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Johannesburg, Gauteng, ZAF
In-Office
Senior level
Financial Services
The Role
Design, develop, and deploy production-ready machine learning models and data pipelines. Work with large datasets, optimize algorithms for scalability and performance, collaborate with cross-functional teams, and ensure regulatory compliance and risk management.
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 solutionsWrite clean, efficient, and production-ready code for data pipelines and modelsWork with large, complex datasets to extract insights and support decision-makingCollaborate with cross-functional teams to translate business needs into technical solutionsOptimize algorithms and improve model performance and scalabilityBuild and maintain data infrastructure and automation processes


Key Competencies

Strong analytical and problem-solving skillsHigh attention to detail and data accuracyAbility to communicate complex concepts clearlySelf-driven with a passion for continuous learning


Advantageous

Experience in cloud platforms (AWS, Azure, GCP)Exposure to MLOps and model deployment pipelines


Additional Job DescriptionAdditional Job Description

Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and Absa Policies and Policy Standards.
Understand and manage risks and risk events (incidents) relevant to the role.

Education

Bachelor's Degree: Information Technology

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, Information Technology, 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 (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 code
  • Strong analytical and problem-solving skills, attention to detail, and clear communication of complex concepts
  • Ensure compliance with regulatory requirements, Enterprise Wide Risk Management Framework and company policies
  • 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: Riyadh
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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