Function:
- The Data & Analytics team is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank.
- The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights.
- Within this job family, we distinguish between Data Analysts and Data Scientists.
- Both roles work with data, write queries, collaborate with engineering teams to source relevant data, perform data munging (transforming data into a format suitable for analysis and interpretation), and extract meaningful insights from the data.
- Data Analysts typically work with relatively simple, structured SQL databases or other BI tools and packages.
- On the other hand, Data Scientists are expected to develop statistical models and be hands-on with machine learning and advanced programming, including Generative AI.
Requirements:
- We are seeking a highly skilled Data Science, Machine Learning and Generative AI Specialist with 5+ years of relevant experience in Advanced Analytics, Statistical, ML model development, deep learning, and AI research.
- In this role, candidates will be responsible for leveraging data-driven insights and machine learning techniques to solve complex business problems, optimize processes, and drive innovation.
- The ideal candidate will be skilled in working with large datasets to identify opportunities for product and process optimization and using models to assess the effectiveness of various actions.
- They should have substantial experience in applying diverse data mining and analysis techniques, utilizing various data tools, developing and deploying models, creating and implementing algorithms, and conducting simulations.
- Generative AI exposure of advanced prompt engineering, chain of thought techniques, and AI agents to drive our cutting-edge will support candidacy.
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