Overview of the Role Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services. Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together. We are seeking a highly motivated and skilled Python Data Science Professional with a strong Generative AI background to join our dynamic Production Management AIOps team. This role will focus on leveraging data science techniques and Python to develop innovative solutions that optimize production processes, enhance predictive capabilities, and integrate AI/ML models, including advanced Generative AI capabilities, into our operational workflows. The ideal candidate is a passionate data scientist with a strong understanding of Python's data science ecosystem, experience building and deploying machine learning models, and a desire to work with large datasets and cutting-edge Generative AI technologies in a fast-paced, collaborative environment. Responsibilities: Data Analysis & Modeling: Analyze large, complex datasets to identify trends, patterns, and anomalies.

Develop and implement machine learning models using Python libraries (e.g., scikit-learn, TensorFlow, PyTorch) to address business challenges related to production optimization, predictive maintenance, and anomaly detection.

Design, develop, and deploy Generative AI models (e.g., Large Language Models) for tasks such as natural language generation, content creation, synthetic data generation, and intelligent conversational agents (chatbots).

Evaluate and refine model performance, ensuring accuracy and reliability.

Deploy and maintain machine learning models in production environments.

Data Engineering & Pipelines: Design and implement data pipelines to collect, process, and transform data from various sources.

Work with both structured and unstructured data, ensuring data quality and integrity.

Collaborate with data engineers to integrate data science solutions into existing systems.

Generative AI Specifics: Integrate Generative AI solutions with existing enterprise systems and APIs.

Manage and optimize vector databases and embedding models for efficient similarity search and context retrieval in Generative AI applications.

Implement responsible AI practices for Generative AI, focusing on bias detection, fairness, transparency, and safety.

Visualization & Communication: Create clear and compelling visualizations to communicate data insights to both technical and non-technical audiences.

Present findings and recommendations to stakeholders, effectively conveying the value of data-driven solutions.

Collaboration & Continuous Learning: Participate actively in agile development processes, collaborating with other data scientists, engineers, and product managers.

Stay up-to-date with the latest advancements in data science, machine learning, and AI,particularly in the rapidly evolving field of Generative AI and its applications.

Contribute to a positive and collaborative team environment by sharing knowledge and supporting colleagues.

Qualifications: Technical Skills: 10+ years of proven experience as a Data Scientist or similar role, with a strong focus on Python.

Proficiency in Python and essential data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).

Experience with statistical modeling, machine learning algorithms, and data mining techniques.

Experience in developing and deploying AI-powered chatbots or conversational AI solutions, including understanding of intent recognition, entity extraction, dialogue management, and response generation.

Familiarity with frameworks and tools for Generative AI development (e.g., Hugging Face Transformers, LangChain, LlamaIndex).

Knowledge of vector databases (e.g., PG Vector, Milvus) and embedding techniques for RAG (Retrieval Augmented Generation) architectures.

Strong data visualization skills using libraries like Matplotlib, Seaborn, or Plotly.

Experience with data engineering tools and techniques (e.g., SQL, Spark, cloud-based data warehousing solutions).

Knowledge of version control systems like Git.

Familiarity with agile development methodologies.

Soft Skills: Excellent problem-solving and analytical skills.

Strong communication and interpersonal skills.

Ability to work independently and as part of a team.

Ability to manage multiple tasks and prioritize effectively.

Passion for data science and a desire to learn and grow,especially in the innovative domain of Generative AI.

Education: Bachelor’s or master’s degree in data science, Computer Science, Statistics, Artificial Intelligence, or a related field.

------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Systems & Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Jacksonville Florida United States ------------------------------------------------------ Primary Location Full Time Salary Range: $113,840.00 - $170,760.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Aug 15, 2025 ------------------------------------------------------ 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.

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