Job Title: Senior Data Scientist
Corporate Title: Assistant Vice President
Location: New York, NY
Overview
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.
What We Offer You
•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
What You'll Do
•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
Skills You'll Need
•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
Skills That Will Help You Excel
•2+ years of experience working with Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS) in support of Data Science, machine learning, or analytical solutions
•Experience developing or implementing generative AI (GenAI) or large language model (LLM) solutions for practical business use cases
•Experience in Financial Services, Financial Crime, transaction monitoring, Wealth Management, or another regulated environment
•Experience with model monitoring, data pipelines, MLOps, APIs, or related technologies used to deploy and operationalize machine learning solutions
•A proactive, consultative approach to collaboration, innovation, knowledge sharing, and continuous learning
Expectations
It is the Bank's expectation that employees hired into this role will work in the New York office in accordance with the Bank's hybrid working model.
Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.
The salary range for this position in New York City is $100,000 to $153,000. Actual salaries may be based on a number of factors including, but not limited to, a candidate's skill set, experience, education, work location and other qualifications. Posted salary ranges do not include incentive compensation or any other type of remuneration.
