Business Intelligence Data Scientist - Private Bank - Vice President

Join our Private Bank Business Intelligence team and help shape the future of data-driven decision-making.

As a Data Scientist, you will have the opportunity to drive impactful business strategies and optimize client outcomes through advanced analytics.

We offer a collaborative environment focused on innovation, career growth, and continuous learning.

Your expertise will enable us to deliver actionable insights and foster a culture of data excellence.

Be part of a team where your skills and ideas make a difference.

As a Data Scientist in the Business Intelligence team within JPMorgan Private Bank, you will lead analytical initiatives that influence business strategy and drive growth.

You will design, build, and deploy predictive models and analytical solutions using both internal and external datasets.

Working closely with business, sales, and marketing leaders, you will embed data science into our decision-making framework.

You will help identify opportunities for improvement and innovation, supporting our mission to deliver exceptional client outcomes.

Your work will directly impact the team's ability to optimize sales productivity and business development efforts.

The Business Intelligence team is dedicated to leveraging data to enhance sales productivity and inform strategic decisions.

You will collaborate with engineering and technology partners to ensure robust data infrastructure and governance.

Your role will include sourcing and integrating new data, maintaining high standards of data quality, and sharing technical knowledge across the team.

We value strong communication skills and the ability to translate complex analytics into clear recommendations.

This is an exciting opportunity to join a high-performing team in a leading global financial institution.

Job responsibilities


* Work with cross-functional teams to deliver impactful data science solutions


* Design, develop, and deploy machine learning models and advanced analytics


* Apply statistical analysis and predictive modeling to extract insights from complex datasets


* Conduct exploratory data analysis to identify trends and opportunities


* Communicate findings and recommendations through visualizations and presentations


* Identify, evaluate, and acquire data from internal and external sources


* Establish and maintain data partnerships and vendor relationships


* Assess data quality and reliability before integration


* Collaborate with engineering teams to implement scalable data pipelines


* Ensure data governance and security protocols across integration processes


* Document technical specifications and integration processes for compliance

Required qualifications, capabilities, and skills


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


* Three years of experience in data science, machine learning, or advanced analytics roles


* Advanced proficiency i...