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This listing was closed on Jul 19, 2026.
Browse Open JobsData Scientist for Financial Services
Summary by AIEngineer.careers
Data Scientist for Financial Services is a AI Engineer role (full-time). with IBM. in 広域東京エリア, JP. Imported listing (source: jp.linkedin.com). Apply on the employer's site (jp.linkedin.com).
Imported listing (source: jp.linkedin.com) · Apply on jp.linkedin.com
広域東京エリア · JP
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jp.linkedin.com
IBM Consulting is seeking a Data Scientist / AI Engineer for financial services. The role involves developing predictive models, analyzing diverse data, and delivering data-driven insights using machine learning and generative AI. You will work on hybrid cloud and AI journeys for leading companies.
Responsibilities
- Design and implement predictive models using optimization and simulation tools
- Analyze diverse data types with Python, Pandas, NumPy, and visualization libraries
- Deliver data-driven insights through machine learning and statistical modeling
- Collaborate on solution delivery and maintain technical expertise in CI/CD and cloud platforms
- Design, implement, and evaluate generative AI and AI agents
Requirements
- Experience with data preparation, analysis, and predictive modeling using Python and related libraries
- Proficiency in Python and development environments (PyCharm, VS Code, Jupyter)
- Experience with data management (SQL, MongoDB, Cassandra, PostgreSQL, MySQL)
- Experience with optimization tools (IBM CPLEX, Gurobi) and statistical analysis (SPSS, SAS, R)
- Experience with version control (Git, GitHub, GitLab) and CI/CD tools (Docker, Podman, Jenkins)
IBM
Armonk · US · 230854+ employees
IBM is a global technology and consulting company that provides AI, automation, hybrid cloud solutions, and infrastructure. It creates technology and infrastructure to help businesses across various industries grow and innovate.
