OVERVIEW The TTS Analytics team provides analytical insights to the Product Pricing Client Experience and Sales functions within the global Treasury Trade Services business The team works on business problems focused on driving acquisitions cross-sell revenue growth improvements in client experience The team extracts relevant insights identifies business opportunities converts business problems into analytical frameworks uses big data tools and machine learning algorithms to build predictive models other solutions and designs go-to-market strategies for a huge variety of business problems ROLE DESCRIPTION The role will be Senior Data Scientist C11 in the TTS Analytics team The role will involve working on multiple analyses through the year on business problems across the client life cycle - acquisition engagement client experience and retention - for the TTS business The incumbent will understand complex business problems and devise a solution for the same using Deep Learning and Generative AI skills independently This will involve leveraging multiple analytical approaches tools and techniques working on multiple data sources client profile engagement data transactions revenue data digital data unstructured data like call transcripts etc to provide data driven insights to business and functional stakeholders QUALIFICATIONS Experience 5-8 years relevant work experience Must have Understands complex deep learning architectures and must have implemented deep learning solutions hands-on Should have good understanding of Gen AI principles and basic prompt engineering In-depth knowledge of classical machine learning is necessary as well across variety of algorithms like regression tree based methods etc Experience across different analytical methods like hypothesis testing segmentation time series forecasting test vs control comparison etc Experience with unstructured data analysis e g call transcripts using Natural language Processing NLP Text Mining Good to have Experience in financial services Exposure to Gen AI designs like RAG etc Understanding of Agentic workflows is a plus Analytical Skills Proficient in data science and machine learning concepts with the mathematics behind them Must have experience in implementing the Data Science knowledge in actual industry projects Proficient in formulating analytical methodology identifying trends and patterns with data Has the ability to work hands-on to retrieve and manipulate data from big data environments Tools and Platforms Proficient in Python R SQL Pyspark Proficient in TensorFlow Keras Pytorch and more advanced DL frameworks Proficient in MS Excel PowerPoint Expertise on using code generation tools like Copilot Good to have Experience with LLMs like Gemini GPT Llama etc Experience with Tableau Soft Skills Strong analytical and problem-solving skills Excellent communication and interpersonal skills Be organized detail oriented and adaptive to matrix work environment Job Family Group Decision Management Job Family Specialized Analytics Data Science Computational Statistics Time Type Full time Most Relevant Skills Please see the requirements listed above Other Relevant Skills For complementary skills please see above and or contact the recruiter Citi is an equal opportunity employer and qualified candidates will receive consideration without regard to their race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other characteristic protected by law If you are a person with a disability and need a reasonable accommodation to use our search tools and or apply for a career chance review View Citi s and the poster