Data Scientist Lead - Customer Analytics

Description

Join the Affluent, Core, and Emerging (ACE) Analytics team within the Consumer Bank Decision Sciences group where your analytical skills fuel innovation and drive real impact for our customers and business. Here, you’ll have the opportunity to grow your career, collaborate with talented colleagues, and work with advanced data and analytics tools. We value your curiosity and passion for learning, offering you the chance to expand your expertise and explore new career paths. Be part of a community that celebrates diverse perspectives and empowers you to make a difference.

Job Summary

As a Lead Data Scientist on the ACE team, you will help shape strategies across marketing, sales, distribution, pricing, and customer analytics. You’ll use a variety of analytical techniques to measure effectiveness and drive future decisions, ensuring your work directly influences both our customers and the business. In this role, you’ll collaborate with partners across data governance, reporting, data science, and technology, all while contributing to a culture of innovation and continuous learning. Your insights will help us deliver value and protection for our customers, and you’ll have access to significant learning and mobility opportunities to support your career growth. Join us to make a meaningful impact and advance your professional journey.

Job Responsibilities

Develop complex analyses to drive business change in product performance, client engagement, attrition, and customer segmentation

Partner with product, finance, and cross-functional teams to deliver high-impact projects that shape strategy and deliver measurable results

Consult with business partners to understand analytical needs and provide actionable, data-driven recommendations

Present clear insights and recommendations directly to stakeholders, including regular opportunities to share findings and recommendations with senior executives

Solve unstructured business problems and perform deep-dive analyses of customer behavior using analytic, statistical, and machine learning techniques

Refine and implement the analytical learning agenda to support business objectives

Leverage internal data resources to construct analytical solutions for business challenges

Collaborate with technology, product, and business teams to deliver impactful solutions

Continuously develop skills to deliver best-in-class analytics

Apply visualization techniques to communicate findings effectively

Ensure all analyses and recommendations align with business goals and compliance standards

Required qualifications, capabilities, and skills

Hold a Master’s degree in a quantitative discipline or a Bachelor’s degree with 5+ years of experience in a quantitative field such as Data Science, Mathematics, Statistics, Physics, Engineering, Economics, or Finance

5+ years of experience applying statistical and machine learning methods to real-world problems

5+ years of experience with SQL and at least one analytical tool such as SAS, Python, or R (Python preferred)

Show experience with data visualization techniques for analysis and presentations (Tableau preferred)

Exhibit superior written, oral communication, and presentation skills

Communicate concisely and effectively with all levels of management and partners

Work collaboratively in cross-functional teams

Solve complex, unstructured problems independently

Organize and prioritize multiple tasks efficiently

Demonstrate attention to detail and accuracy in all analyses

Maintain a commitment to continuous learning and professional development

Preferred qualifications, capabilities, and skills

Bring experience in financial services, consumer banking, or related industries

Demonstrate ability to work in a fast-paced, collaborative environment

Show a proven track record of delivering actionable insights that drive business outcomes

Display intellectual curiosity and eagerness to learn new skills

Think strategically with a data-led approach focused on business goals

Build strong relationships with stakeholders across locations

Thrive as a collaborative team player in a dynamic, innovative environment