Requisition Title: Data Scientist Analyst (502)

Short Description:

• The Commercial and Investment Bank
• Global Services team functions as an internal business & metrics reporting and analytics group responsible for delivering highly quantitative and qualitative reports and analytics tools that support bankers, business management and senior management agendas.

Description:

The Data Scientist Analyst will join the Commercial and Investment Bank Finance and Business Management organization, assisting data analytics team agenda. The candidate will learn core business processes, build new AI/ML capabilities, develop and deploy AI/ML Models for metrics/management reporting, and provide decision support.

The Data Scientist Analyst on the team will have the opportunity to work on high-impact initiatives that help drive profitability and efficiency across the Commercial and Investment Banking organization and will be responsible for assisting the business in ongoing development, deployment, and maintenance of AI/ML models.

Job Responsibilities:

(i) Lead the development of advanced analytics capabilities by applying cutting-edge AI/ML techniques, generative AI solutions, and sophisticated statistical methodologies to solve complex business problems and promote innovation across the organization.

(ii) Collaborate closely with business and functional stakeholders through regular engagement to understand requirements, translate complex data findings into clear and actionable insights, and communicate results effectively to diverse audiences ranging from technical teams to senior executives.

(iii) Define, design, and execute high-priority strategic initiatives with senior leadership visibility, spanning from delivering critical business solutions to building scalable engineering capabilities, while leveraging excellent presentation skills to influence decision-making and promote organizational impact.

Required qualifications, capabilities, and skills

• Education: Bachelor's or Master's degree in Statistics, Computer Science, or related quantitative field
• Experience: Minimum 3 years of Data Science experience in financial services industry
• Programming: Strong hands-on experience with Python for data science applications
• Machine Learning Algorithms: Proven experience designing and building regression, classification, time series, clustering, NLP, linear programming, and vector algebra models with deep understanding of underlying rationale
• Generative AI & LLMs: Experience with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), fine-tuning techniques, and generative AI applications
• Advanced AI/ML Capabilities: Familiarity with deep learning frameworks (Tensor Flow, Py Torch), transformer architectures, computer vision, reinforcement learning, and MLOps practices for model deployment and monitoring
• Cloud & Development Tools: Experience with cloud-based AI/ML services (AWS Sage Maker, Azure ML), vector databases, Bitbucket for version control, and Jules; familiarity with Atlassian tools (JIRA, Confluence)
• End-to-End ML Development: Demonstrated exposure to the complete lifecycle of designing, building, and deploying machine learning algorithms in production environments
• Data Querying: Proficiency in SQL, Hadoop, HIVE, and AWS for data extraction and manipulation
• Communication & Collaboration: Strong verbal and written communication skills to effectively convey insights and recommendations; team player with demonstrated strong work ethic and collaborative mindset

Shift Timing: EMEA (1pm to 10pm) & Location: Bangalore