**_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 opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi’s_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.