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., * 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

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline, or equivalent relevant experience

• Hands-on experience developing applied Data Science or machine learning solutions using Python and SQL, including work with complex datasets and relevant analytical libraries or frameworks

• Demonstrated product thinking and stakeholder management, with the ability to work directly with product users, understand customer needs and product enhancement opportunities, and translate them into practical technical solutions

• Strong foundation in machine learning, statistics, and analytical problem-solving, with the ability to communicate technical concepts and analytical findings to nontechnical stakeholders

• Experience developing, testing, deploying, or supporting machine learning solutions in a production or enterprise environment, with working knowledge of the software development lifecycle, version control, testing, and deployment practices

• Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs

Skills That Will Help You Excel

• Experience with Google Cloud Platform; strong experience with another cloud environment, such as Microsoft Azure or Amazon Web Services, will also be considered

• Experience applying generative AI or large language models to practical business use cases

• Prior experience in Financial Services, Financial Crime, transaction monitoring, Wealth Management, or another regulated environment

• Experience with model monitoring, data pipelines, MLOps, APIs, or other capabilities used to operationalize analytical solutions

• A proactive, consultative approach to collaboration, innovation, knowledge sharing, and continuous learning

• 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

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