Senior Data Science Consultant

About This Role

This role is for a Senior Data Science Consultant (P3) within the CDAI (Consumer Data, Analytics and Artificial Intelligence) function.

We are seeking highly skilled and talented individual who will form part of an agile group of professionals that will work across the Consumer , Small & Business Banking (CSBB) core businesses and functions to provide deep analysis and strategic solutions to enable existing and new businesses to develop and expand. Specifically, we are looking for someone with an analytical acumen and ability to define hypothesis & assumptions, lay out data requirement, gather, and analyze data and apply the business P&L (revenue, cost, margin, etc.) levers to derive insights and refine strategies.

The work will involve identifying areas for opportunities and growth within each initiative leveraging analytical thinking & rigor to ensure that it correlates back to the overall strategy of the CSBB and the broader enterprise.

In This Role, You Will

This role is for our Customer Analytics team and you will be responsible to analyze and transform customer data into actionable insights for enhanced engagement and experience. Leveraging advanced analytics to drive strategic decision making and empowering businesses to cultivate lasting relationships to drive growth through a deep understanding of customer behavior across Lines of Business (LOBs).

Required Qualifications (Must-Haves)

• 4-8 years of experience in Data Analytics, Insight Generation and/or Data Science
• 2-3 years of experience working in Large Banks/ Financial Services to translate business problems into actionable insights, with demonstratable experience of delivering strategic insights and recommendations.
• Bachelors degree or higher in a quantitative field such as applied math, statistics, engineering, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
• Experience in data analysis, data extraction/manipulation and loading routines using SQL, Teradata, database structures and data warehouses.
• Proficient in SQL, Python, PySpark for data analysis and usage of libraries
• Highly effective communication skillset: ability to convey results, concepts, and issues/challenges with us and partners / peers and non-technical marketing/business audience through executive ready presentations.
• Experience with statistics and basic statistical modeling techniques (i.e., regression, decision tree, random forest, clustering, segmentation etc.)
• Good Story telling competencies to create new and novel analytics approach or data visualizations to deliver Insights to target audience.
• Self-motivated to identify opportunities and propose solutions to business partners.

Desired Skills:

• Languages: SQL, Python, SAS/R, PySpark
• BI Tools: Tableau/ Power BI/ Excel
• Good knowledge of building strategic analysis using customer profiling, business segmentation, heuristics, inferential statistics, RFM analysis
• Experience of working with Machine learning techniques - Segmentation, Regression, Decision Trees, Forecasting, Clustering
• Financial services experience
• Organized and proactive, should be able to manage tasks in a dynamic environment and deal with multiple priorities.
• Strong conceptual and quantitative problem solving skills
• Excellent written and oral communication skills, and interpersonal skills.
• Tenacity and persistence to ensure compliance with tight deadlines

Job Level:

P3