Data Scientist Intern - High-Impact, Mentored Growth

Morgan Stanley; Owensboro (KY); On-site; USD 94,000 - 132,000; Full time

Job summary

Morgan Stanley in Owensboro, KY invites applications for an internship Data Scientist role that values ownership over busywork and offers a path for long-term growth. The position supports high-traffic workloads and fosters mentorship within a culture that emphasizes real projects and hands-on learning.

The role includes responsibility for data integrity, solving complex analytics, and collaborating with technology analysts to align models with real behavior.

Qualifications

• Solid understanding of technology best practices and industry standards.
• Instinct for prioritization when everything is labeled urgent.
• Curiosity about the Kentucky market or local Owensboro context.
• Humility to revise strong opinions when the data argues back.
• 5+ years that left you with strong instincts and few ilus.
• 5+ years steering technology projects end to end.
• Bias toward asking the dumb question before the expensive mistake.

Responsibilities

• Ship the Plotly unpretentious rewrite that pays down Morgan Stanley technical debt.
• Defend Morgan Stanley uptime through the 2 a.m. Owensboro pages nobody volunteers for.
• Own data integrity across Morgan Stanley's Hadoop stores so Owensboro numbers never lie.
• Turn Morgan Stanley's Tableau on-call noise into alerts that actually mean something.
• Pair with technology analysts so Morgan Stanley's Reinforcement Learning models match real behavior.
• Automate build, test, and deployment pipelines for faster release cycles.
• Chase down the Plotly integration that silently drops Morgan Stanley events at midnight.

Skills

Industry standards

Prioritization

KY market knowledge

Data-driven thinking

End-to-end tech leadership

Education

Advanced data science coursework

Tools

Hadoop

Tableau

Plotly

Job description

Morgan Stanley in Owensboro, KY invites applications for an internship Data Scientist role that values ownership over busywork and offers a path for long-term growth. The position supports high-traffic workloads and fosters mentorship within a culture that emphasizes real projects and hands-on learning.

The role includes responsibility for data integrity, solving complex analytics, and collaborating with technology analysts to align models with real behavior.