Senior Data Scientist (Assistant Vice President)

Deutsche Bank; North Carolina; On-site; USD 120,000 - 180,000; Full time

Job summary

Deutsche Bank AG in the United States is seeking a Senior Data Scientist to 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 translate needs into practical machine learning solutions.

Lead end-to-end ML initiatives from requirements gathering to deployment, collaborate with cross-functional partners, and explore productive GenAI opportunities while maintaining

Qualifications

• 3+ years translating business needs into technical requirements for data science or AI solutions.
• 5+ years in applied data science or analytics with hands-on development in Python/SQL.
• Experience communicating technical concepts to non-technical audiences.

Responsibilities

• Lead end-to-end ML use cases from requirements to deployment.
• Develop ML solutions for AI-driven transaction monitoring and Wealth Management analytics.
• Collaborate with global teams and product users to define requirements and drive value.

Skills

Python

SQL

GenAI

Cloud computing

Communication

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field

Tools

GCP

AWS

Azure

Git

TensorFlow/PyTorch

Job 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
• 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

3+ years of experience translating business requirements and customer needs into technical requirements and practical Data Science, machine learning, or AI solutions5+ years of experience in applied Data Science, machine learning, or advanced analytics, including hands‑on development using Python and SQL with complex datasetsExperience 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 audiencesBachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline, or equivalent relevant experience3+ 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 practicesProven 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 outputs3+ years of experience developing machine learning models using statistical techniques and relevant Python machine learning libraries or frameworks2+ 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 solutionsExperience developing or implementing generative AI (GenAI) or large language model (LLM) solutions for practical business use casesExperience with model monitoring, data pipelines, MLOps, APIs, or related technologies used to deploy and operationalize machine learning solutionsExperience in Financial Services, Financial Crime, transaction monitoring, Wealth Management, or another regulated environmentA proactive, consultative approach to collaboration, innovation, knowledge sharing, and continuous learning