Data Scientist Lead - Customer Analytics

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 action