Description
As a Senior Data Scientist, you will join a global Data Science team supporting AI-driven transaction monitoring and analytics for Wealth Management.
You will work closely with U.S.-based product users and stakeholders to understand customer needs, how analytical products are being used, and opportunities to enhance those products.
You will combine hands-on Data Science expertise with product thinking and stakeholder management to translate business problems into practical machine learning and AI solutions.
Working with a broader global team, you will help deliver measurable business value while advancing both established machine learning and emerging generative AI capabilities.
Responsibilities
- Serve as a key Data Science partner to U.S. product users and business stakeholders, proactively understanding customer needs, how analytical products are used, and opportunities for product enhancements
- Translate business and customer needs into clear technical requirements and practical Data Science, machine learning, and AI solutions
- Lead the end-to-end implementation of machine learning and AI use cases, from requirements gathering and data identification through model development, testing, validation, deployment, and go-live
- Develop, improve, and support machine learning solutions for AI-driven transaction monitoring and Wealth Management analytics, while evaluating practical generative AI opportunities
- Analyze complex business and customer activity data to identify trends, improve analytical outputs, and generate actionable insights
- Work closely with a global Data Science team and cross-functional partners to deliver solutions efficiently in response to evolving product, business, and regulatory needs
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline, or equivalent relevant experience
- 5+ years of experience in applied Data Science, machine learning, or advanced analytics, including hands-on development using Python and SQL with complex datasets
- 3+ years of experience developing machine learning models using statistical techniques and relevant Python machine learning libraries or frameworks
- 3+ years of experience translating business requirements and customer needs into technical requirements and practical Data Science, machine learning, or AI solutions
- 3+ years of experience developing, testing, deploying, or supporting machine learning solutions in a production or enterprise environment, including experience with version control, testing, and deployment practices
- Experience partnering directly with product users and business stakeholders to understand customer needs, evaluate product enhancement opportunities, and communicate technical concepts and analytical findings to nontechnical audiences
- Proven ability to leverage AI tools to enhance productivity and optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs
Benefits
- A diverse and inclusive environment that embraces change, innovation, and collaboration
- A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
- Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
- Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
- Educational resources, matching gift and volunteer programs