Business Intelligence Data Scientist - Sr. Associate - JPMorgan Private Bank

Join the Business Intelligence team within the JPMorgan Private Bank and help shape strategy with advanced analytics and AI.
You will work on high-impact initiatives that improve sales productivity, business development, and decision-making through data-driven insights.
You will partner closely with business, sales, marketing, and technology teams to turn complex data into practical solutions.
If you enjoy combining rigorous modeling with real-world business outcomes, this role offers the opportunity to grow your impact and help modernize how insights are delivered.

As a Business Intelligence Data Scientist within the JPMorgan Private Bank Business Intelligence team, you will lead analytical initiatives that shape business strategy through data-driven insights.
You will design, build, and deploy predictive models and analytics solutions using internal and external data to create actionable recommendations.

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You will collaborate with leaders across business, sales, and marketing to embed analytics into day-to-day decision-making and continuous improvement.
You will help evolve reporting into proactive, personalized insights by prototyping and applying modern AI approaches, including machine learning and large language models.

Job responsibilities


* Partner with business, sales, marketing, and technology teams to define requirements and deliver analytics solutions that drive measurable outcomes.


* Design, develop, and deploy machine learning and advanced analytics solutions for complex business problems.


* Apply statistical analysis, predictive modeling, and AI techniques to generate insights from large, complex datasets.


* Perform exploratory data analysis to identify trends, patterns, and opportunities for growth and productivity improvements.

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* Communicate insights and recommendations through clear narratives, visualizations, and presentations tailored to stakeholders.


* Prototype AI-enabled approaches, including large language models and automation, to deliver personalized, context-aware insights and recommendations.


* Identify, evaluate, and onboard internal and external datasets to support analytics and modeling initiatives.


* Assess data quality and reliability, and implement automated validation and monitoring to maintain data integrity.


* Collaborate with engineering partners to implement scalable data pipelines, model deployment workflows, and analytics infrastructure.


* Ensure governance, security, documentation, and lineage standards are met across data and model integration processes.


* Translate business needs into clear technical specifications and contribute production-quality code across the analytics lifecycle.

Required qualifications, capabilities, and skills


* Bachelor's degree in data science, computer science, statistics, mathematics, or a related technical field.


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