Citi Group Lead Data Scientist ML operations - years 

India, Karnataka, Bengaluru 

469124468

What do we do?

• 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 AI/ML techniques to drive data driven business outcomes in collaboration with business and product partners.
• Ability to work in Big data environment, able to do data manipulation easily
• Hands on with ML/DL model training, testing & deployment in big data environment
• Good hands on in Python/R , SQL
• Basic understanding of stat
• Pyspark
• exposure in CICD deployment

ROLE DESCRIPTION

• The role will be Spec Analytics Intmd Analyst (C11) in the TTS Analytics tea
• The role will report to the AVP leading the team
• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• 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
• 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 partners and functional stakeholders
• This role will be a key contributor to ideation on analytical projects to tackle strategic business priorities
• The role will require endless curiosity, as ambiguity and open-ended questions are a core part of the team’s work

QUALIFICATIONS

Experience:

• Bachelor’s Degree with 6-8 years of experience in data analytics, or Masters Degree with 5-8 years of experience in data analytics, or a PhD in a relevant subject.

​Must have substantial experience in:

• Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry
• Utilizing text data to derive business value by leveraging different NLP techniques (mid to expert level prior experience is a must)
• Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data
• Applying Predictive Modeling techniques for a wide range of business problems
• Working with data from different sources, with different complexities, both structured and unstructured

​Good to have:

• Experience working with data from different sources and of different complexity
• Prior working experience in Customer experience domain (Analysis involving deep dive into CSAT, NPS, Survey feedbacks etc.)

Analytical Skills:

• Strong logical reasoning and problem solving ability
• Proficient in converting business problems into analytical tasks, and analytical findings into business insights
• 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:

• Expert knowledge in Python, SQL PySpark and related tools
• Proficient in MS Excel, PowerPoint

Good to have:

• Experience with Tableau

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Time Type:

View the " " poster. View the .

View the .

View the