Job Description
As a Data Scientist, you will be responsible for leading and driving AI/data science projects independently, owning the end-to-end process from data collection to model deployment.
Apply your technical knowledge and understanding of business domains to define, own, drive, and deliver highly complex data science projects. Collaborate with business and cross-functional teams to understand their needs and implement AI-driven solutions.
Key Responsibilities:
* Lead and drive AI/data science projects independently, owning the end-to-end process from data collection to model deployment.
* Apply Gen AI, NLP, Computer Vision, Deep Learning, advanced statistical, and ML predictive modeling techniques to develop and implement scalable AI solutions.
* Collaborate with business and cross-functional teams to understand their needs and implement AI-driven solutions.
* Mentor junior data scientists and provide guidance on their projects.
* Presentation of complex results to non-technical stakeholders, translating data insights into actionable business strategies.
* Develop and deploy production-grade AI/machine learning models in cloud-based and on-prem platforms.
Requirements:
* Demonstrated experience in data science or statistical modeling working on end-to-end projects, preferably within retail banking or financial services.
* Advanced technical skills, including ability to generate actionable value-add insights by understanding complex data and using tools such as Python, R, Spark, Teradata SQL, SAS, and experience in working with Big Data Platforms.
* Knowledge of AI, Deep Learning, Natural Language Processing (NLP), Computer Vision, Large Language Models (LLM), Generative AI (e.g., Open-source models & GTP's, RAG, Guardrails for fairness/privacy).
* Relevant tertiary qualification, e.g., Mathematics, Statistics, Economics, Econometrics, Computer Science, or Engineering.
* Experience in a risk or audit domain would be beneficial.