Senior Data Scientist - BANGALORE
Citi
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
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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.------------------------------------------------------
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