Senior Data Scientist - Assistant Vice President

Db; New York (NY); Hybrid; USD 100,000 - 153,000; Full time

Benefits offered by this job

Hybrid work model

Generous vacation

Personal and volunteer days

Health and wellbeing benefits

Retirement savings plans

Parental leave

Family building benefits

Educational resources

Matching gifts

Volunteer programs

Job summary

Deutsche Bank is seeking a Senior Data Scientist in New York, AVP-level, to join a global Data Science team focused on AI-driven transaction monitoring and Wealth Management analytics. You will translate business needs into practical ML/AI solutions, lead end-to-end development, and collaborate with stakeholders to deliver measurable value.

The role requires strong Python/SQL skills, ML expertise, and production deployment experience, with a hybrid work model and generous benefits.

Qualifications

• Bachelor’s degree in Data Science, CS, Stats, Math, or related quantitative discipline (or equivalent experience)
• Hands-on Data Science/ML with Python and SQL, working with large datasets
• Strong product thinking and stakeholder management to translate needs into technical solutions
• Solid foundation in ML, statistics, and analytical problem solving; communicate results to nontechnical stakeholders
• Experience deploying ML solutions in production/enterprise environments and familiar with SDLC practices
• Ability to leverage AI tools to enhance productivity while ensuring responsible data/AI use

Responsibilities

• Serve as a key Data Science partner to U.S. product users and business stakeholders
• Translate business needs into technical requirements and ML/AI solutions
• Lead end-to-end implementation of ML/AI use cases from requirements to go-live
• Develop, improve, and support ML solutions for AI-driven transaction monitoring and Wealth Management analytics
• Analyze complex business data to identify trends and generate actionable insights
• Collaborate with a global Data Science team and cross-functional partners to deliver solutions

Skills

Python

SQL

ML

Product thinking

Stakeholder mgmt

MLOps

AI tools

Education

Bachelor's degree in quantitative field

Tools

Google Cloud Platform

Azure

AWS

APIs

Job description

Job Description

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
• 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

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.

Deutsche Bank Benefits

At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That’s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home.

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We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Click these links to view Deutsche Bank’s Equal Opportunity Policy Statement and the following notices: EEOC Know Your Rights; Employee Rights and Responsibilities under the Family and Medical Leave Act; and Employee Polygraph Protection Act.