We are seeking a Data Scientist to join our client’s team and support data-driven decision-making across credit risk, lending, and financial services.

Key Responsibilities: -Develop and evaluate predictive models for credit risk and lending outcomes. -Use Python, Pandas, Scikit-Learn, TensorFlow/PyTorch and other data science tools for data analysis and machine learning. -Design, develop and deploy machine learning models as APIs using FastAPI or Flask. -Clean, preprocess and analyse large financial and credit-risk datasets. -Monitor model performance and ensure scalability, reliability and accuracy after deployment. -Apply statistical and machine learning techniques to support risk assessment and lending decisions. -Ensure compliance with data privacy, security and regulatory requirements. -Document data sources, methodologies and model parameters for transparency and reproducibility. -Explore LLMs and NLP to analyse unstructured financial data and enhance business solutions.

Requirements: -Bachelor’s degree in Computer Science, Mathematics, Statistics or a related field. -1–3 years’ experience in Data Science or a related field, preferably in financial services. -Proven experience with Python and data science libraries such as Pandas, Scikit-Learn and TensorFlow. -Experience working with credit lending, credit risk or financial datasets is highly desirable. -Knowledge of SQL, Apache Spark, Jupyter Notebooks, FastAPI/Flask. -Experience with AWS and/or GCP is an advantage. -Familiarity with LLMs and NLP is a plus. -Relevant certifications in Data Science, Azure, TensorFlow or similar are an added advantage. Key Competencies: Analytical Thinking | Business Acumen | Decision-Making | Problem Solving | Managing Risk | Stakeholder Management | Communication | Attention to Detail | Result Orientation Interested and qualified candidates should send their CV to: [email protected] Only qualified candidates will be contacted