Senior Data Scientist

Reposted 10 Hours Ago
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Hiring Remotely in Pankrác, Česká Lípa, Liberecký
Remote
Senior level
Financial Services
The Role
As a Senior Data Scientist at Absa Bank, you'll analyze large datasets, design ML models, mentor junior scientists, and collaborate with cross-functional teams.
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.

My Career Development Portal: Wherever you are in your career, we are here for you. Design your future. Discover leading-edge guidance, tools and support to unlock your potential. You are Absa. You are possibility.

Job Summary

We are looking for a Senior Data Scientist to join the Personal and Private Banking Data Science team at Absa Bank. As a Senior Data Scientist, you will become a collaborator within a team of specialist data scientists aiming to help Absa discover the insights hidden in its vast amounts of data and help enable smarter decisions to deliver better products and services and shape business strategy. You will be expected to take on the most complex artificial intelligence projects, as well as provide technical mentoring and coaching for junior team members.

Job Description

  • Work with large-scale structured and unstructured datasets using modern data platforms (e.g. Databricks, AWS, other cloud-based environments).

  • Design, build, and deploy high-quality machine-learning models and applied AI solutions (including large language models) to drive strategic and competitive advantage, ensuring robustness, governance, and interpretability.

  • Partner with stakeholders across business, product, marketing, risk, strategy and technology teams to help translate their challenges into actionable data science models and embed insights into decision-making processes and strategy.

  • Partake in data science community of practice in the broader organisation by sharing knowledge and skills

  • Mentor junior data scientists and contribute to best practices in analytics, modelling, and storytelling.

 

Minimum Experience and Skills Requirements

  • 7+ years’ experience in data science or advanced analytics

  • Deep knowledge of machine learning methods, principles and frameworks

  • Strong programming and data querying skills (SQL, PySpark, Python)

  • Machine Learning: Scikit-learn, PyTorch, PyCaret, etc.

  • Hadoop Big Data Platform: Spark, hdfs, hive, etc

  • Python Tools: pytest, conda, poetry etc

  • DevOps: Git (GitHub), bash, ssh, CI/CD Pipelines

  • Cloud: DataBricks, AWS

  • Presentation skills: ability to efficiently present data and ML models insights to a non-technical audience

  • Team Skills: guiding junior team members, defining and maintaining team standards

  • Experience delivering end-to-end analytical solutions in a complex, data-rich environment (financial services experience is advantageous).

 

Education:

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, Physics, or a related quantitative field.

  • Postgraduate qualification (Honours / Master’s) in Data Science is advantageous.

Education

Bachelor's Degree: Information Technology

Top Skills

AWS
Bash
Ci/Cd Pipelines
Conda
Databricks
Git
Hadoop
Hdfs
Hive
Poetry
Pycaret
Pyspark
Pytest
Python
PyTorch
Scikit-Learn
Spark
SQL
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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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