Generative AI Data Scientist - Deep Learning and LLM

Posted Yesterday
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Pune, Mahārāshtra, IND
Hybrid
Senior level
Financial Services
The Role
Designs and implements traditional and generative AI solutions, owning the implementation pipeline from data through user interface. Responsibilities include documenting data requirements, conducting exploratory analysis, developing deep learning and LLM-based solutions, creating visualizations, assessing business risk, and supporting compliant decision-making. The role requires strong AI knowledge, workflow orchestration exposure, analytical ability, communication skills, and cross-functional partnership.
Summary Generated by Built In

The Spec Analytics Intmd Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Responsibilities:

  • Hands on design of AI solutions both traditional and generative AI to evaluate, recommend, and support the implementation of business strategies
  • Owning a Gen AI implementation pipeline end-to-end from data to UI
  • Responsible for documenting data requirements, exploratory data analysis; building AI solutions and effective visualization
  • Incumbents in this role may often be referred to as Data Scientists/Gen AI engineers
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

  • 5-8 years relevant experience
  • Must have excellent understanding of AI concepts ranging from deep learning algorithms to LLM architectures
  • Should have an exposure to Gen AI skillsets like workflow design and orchestration
  • Possess analytic ability and problem solving skills
  • Willing to learn and can-do attitude
  • Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
  • Ability to build partnerships with cross-function leaders

Education:

  • Bachelors/University degree or equivalent experience

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


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Job Family Group: Decision Management

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Job Family:Specialized Analytics (Data Science/Computational Statistics)

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Time Type:Full time

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Most Relevant Skills Please see the requirements listed above.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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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.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Skills Required

  • 5-8 years of relevant experience
  • Excellent understanding of AI concepts, including deep learning algorithms and LLM architectures
  • Exposure to generative AI skills such as workflow design and orchestration
  • Analytical ability and problem-solving skills
  • Bachelor’s or university degree, or equivalent experience
  • Excellent communication and interpersonal skills
  • Ability to build partnerships with cross-functional leaders
  • Organized, detail-oriented, flexible, and adaptive to a matrix work environment
  • Willingness to learn and a can-do attitude
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The Company
HQ: New York, NY
226,610 Employees
Year Founded: 1998

What We Do

Citigroup is a global diversified financial services holding company serving consumers, corporations, governments and institutions. It provides consumer banking and credit, corporate and investment banking, securities brokerage, trade and securities services, and wealth management. Operating across nearly 160 countries and jurisdictions, Citi aims to be a leading partner for institutions with cross-border needs, a global wealth manager, and a valued personal bank in the United States.

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