Data Scientist

Model Risk Management Department at Bank of Georgia is looking for passionate, curious, and talented Data Scientists to join our growing team. You will have an opportunity to contribute into various innovative data-driven products and scalable intelligent systems. Members of the team are testing, validating, challenging and monitoring all the AI/ML models and solutions developed/used in the bank in order to mitigate model risk and create safe environment for operations in different areas of business (credit risk, marketing, customer care, optimization of back office operations, etc.). We are looking for people interested to explore business insights, experienced in model development/validation and capable to identify, assess and mitigate model risks. If you are a resourceful, goal-oriented person enjoying collaboration to deliver solutions, this may be an opportunity for you

Key Responsibilities:

• Conduct model validations, assess model performance, and evaluate model conceptual soundness, including input data, assumptions, statistical and analytical testing, and general development methodology.

• Conduct model outcomes analysis, including back-testing.

• Assess new and existing model’s overall fit/suitability with its intended use and purpose.

• Provide subject matter expertise to identify models’ key assumptions, limitations and weaknesses, assess effectiveness of compensating controls and recommend practical solutions to mitigate model risk.

• Develop benchmark/challenger models to assess strength of model under review.

• Prepare and present clear, thorough reports to model developers, model owners and stakeholders explaining the analysis performed, results of the analysis and recommendations for improvement.

• Ensure that the Model Risk Policy and other relevant requirements are upheld.

• Monitor model performance ensuring early and proactive identification of model risks.

• upport the model governance activities, contribute to the optimization of the validation process through automation, incorporating the regulatory changes and other initiatives across the model validation/monitoring process.

Preferred Qualifications:

• Degree in Statistics, Mathematics, Data Science, Computer Science or a related field.

• Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner.

• 2+ years of working experience in data science. Experience in financial sector (especially in banking) will be advantage.

• Experience working with large-scale, complex datasets to conduct descriptive, diagnostic, predictive and prescriptive analytics.

• Expertise in statistical modeling and machine learning. Familiarity with deep learning, reinforcement learning, information retrieval or natural language processing will be advantage.

• Experience with SQL, R, and Python for data manipulation and insight derivation.

• Familiarity with ML frameworks (TensowrFlow, PyTorch, Scikit-Learn etc.) and Big Data technologies (Hadoop/Hive, Spark, NoSQL, etc.) is plus.

• Knowledge of data visualization libraries (such as matplotlib or ggplot2) and tools (such as Microsoft Power BI or Tableau) is plus.

Knowledge, Skills and Abilities:

• Knowledge of relational database concepts, data modeling.

• Visualization and data story-telling skills.

• Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually.

• Ability to communicate actionable insights using data to technical and non-technical audiences.

• Strong analytical and problem-solving skills.

• Critical thinking and attention to details.

• Team player and self-starter, desired to learn and add value, with can-do attitude.

• Capability to solve problems and troubleshoot issues quickly and effectively.

• Proficiency to write in clear and concise manner for efficient communication in Georgian and English.

Interested candidates, please fill in the information, attach your CV and submit by clicking “apply for position now”. Deadline is July 14, 2025.