Posted on: 20/07/2025
Have you got what it takes?
- Lead and execute end-to-end advanced analytics projects, including data collection, preprocessing, model development, evaluation, and deployment.
- Design and develop predictive and generative models to extract actionable insights from large and complex datasets.
- Apply statistical techniques and quantitative analysis to identify trends, patterns, and correlations.
- Translate business problems into analytical solutions in collaboration with Product, Engineering, and domain SMEs.
- Mentor junior data scientists and promote best practices in experimentation, code quality, and documentation.
- Stay current with advancements in Data Science, Machine Learning, and Generative AI, and recommend innovative approaches.
Qualifications :
- Bachelors degree in Computer Science, Statistics, Mathematics, or a related field; Masters or Ph.D. preferred.
Preferred Qualifications :
- Experience in finance or banking domains.
- Familiarity with cloud platforms (AWS, Azure, GCP) for ML model deployment.
- Contributions to the data science community (e.g., publications, open-source).
- Experience implementing Retrieval-Augmented Generation (RAG) pipelines.
- Hands-on experience with vector databases.
Whats in it for you?
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