Data Scientist

Overview

A leading financial services organization is seeking a professional with a strong background in Data Science, Machine Learning, and Generative AI to transform the way application support operates.

This role sits within the Application Support organization but is highly focused on building AI-driven, data-centric solutions that automate and enhance IT operations. You will leverage cutting-edge tools such as GitHub Copilot, Google Gemini, OpenAI, and other LLM/code-generation platforms to develop intelligent systems that reduce manual intervention, improve system reliability, and enable proactive issue resolution.

Key Responsibilities

• Design and deploy machine learning and advanced analytics models to optimize application support operations
• Build predictive and prescriptive models for:
• Incident detection and prevention
• Root cause analysis (RCA)
• System performance forecasting
• Apply NLP and LLM techniques to analyze:
• Log data
• Incident tickets
• Support documentation
• Develop GenAI-powered tools , including:
• AI copilots for support engineers
• Intelligent troubleshooting assistants
• Automated runbook and knowledge generation
• Leverage GitHub Copilot, Gemini, OpenAI, Claude , and other code-gen tools to:
• Accelerate development
• Generate and optimize automation scripts
• Enhance experimentation and solution design
• Build scalable data pipelines and feature engineering frameworks for operational data
• Integrate ML models into production support environments and monitoring systems
• Partner with Application Support, SRE, and DevOps teams to embed AI into daily workflows
• Identify opportunities to automate repetitive support functions and improve efficiency
• Develop dashboards and reporting to monitor system health and AI solution performance
• Continuously improve models based on real-time operational feedback and outcomes

Required Qualifications

• 5–10+ years of experience in:
• Application Support, IT Operations, or Production Engineering
• Combined with strong Data Science / Machine Learning expertise
• Advanced programming skills in:
• Python (required)
• SQL
• Hands-on experience with:
• Scikit-learn, TensorFlow, PyTorch, or similar frameworks
• Proven experience building:
• Predictive models
• Anomaly detection systems
• Time-series forecasting solutions
• Experience working with:
• Logs, metrics, monitoring, and operational datasets
• Strong understanding of:
• Application support environments
• Incident management and escalation processes
• Experience deploying ML models into production environments