Specialized Analytics Manager - C12 - GURUGRAM

The Specialized Analytics Manager provides full leadership and supervisory responsibility. Provides operational/service leadership and direction to team(s). Applies in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. May contribute to the development of new techniques, models and plans within area of expertise. Excellent communication and diplomacy skills are required. Generally has responsibility for volume, quality, timeliness of end results and shared responsibility for planning and budgets. Work affects an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Full supervisory responsibility, ensuring motivation and development of team through professional leadership to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations as well as direction of daily tasks and responsibilities.

Job Description:

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. The Data Science Analyst will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. The role will also contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. The individual will work with cross functional stakeholders.

• Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement.
• Apply machine learning techniques to identify data patterns and trends, and provide insights to enhance business decision-making capabilities in business planning, process improvement, solution assessment, and other areas.
• Develop and implement machine learning models for predictive analytics, forecasting, and optimization.
• Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions.
• Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems.
• Develop tools and techniques to evaluate the performance and impact of AI solutions.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate findings clearly and effectively to business partners and senior leaders.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities, with a focus on cutting-edge AI technologies.
• Work closely with internal and external business partners in building, implementing, tracking, and improving decision strategies.
• 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.

Skills and Experience:

As a successful candidate, you should ideally have the following skills and exposure:

• 7+ years of relevant experience in data science, machine learning, or a related field.
• Advanced process management skills, organized and detail-oriented.
• Curious about learning and developing new skill sets, particularly in the area of artificial intelligence.
• Positive outlook with a can-do mindset.
• Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers.
• Experience with statistical modeling techniques, including regression, classification, and clustering.
• Experience building GenAI solutions using LLMs and vector databases.
• Experience with agentic AI frameworks, such as Langchain,Langraph, MLOps
• Experience with data visualization tools such as Tableau or Power BI.
• Must Have Other Skills: Strong Logical Reasoning Capabilities, Willingness to learn new skills, Good Communication and presentation skills

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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