[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All IBM jobs](https://jobs.opennash.com/companies/ibm/) · [Search jobs](/search/) IBM · Tokyo, JPN # 【金融業界担当】データサイエンティスト Tokyo, JPN Listed on IBM’s official careers site. Posted June 12, 2026. Check that it is still open and apply there. [Apply on IBM’s careers site →](https://ibm.dejobs.org/jobs/B4765175C73E46B4A6577C420490E10B/) [OpenNash Jobs](https://jobs.opennash.com/) / [IBM](https://jobs.opennash.com/companies/ibm/) / 【金融業界担当】データサイエンティスト ## Job description ### Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. ### Your role and responsibilities As a Data Scientist / AI Engineer with Advanced Analytics skills, you will leverage deep data and analytics expertise with strong business acumen to address business challenges. You will utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. Your primary responsibilities will include: ### Develop Predictive Models - Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business optimization. This includes utilizing tools like IBM CPLEX and Gurobi for optimization and SPSS, SAS, R, and Python for statistical analysis. ### Analyze Diverse Data - Manage and analyze diverse data types and structures using programming languages like Python and development environments such as PyCharm, VS Code, and Jupyter Notebooks. This involves data manipulation with Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly. ### Deliver Data-Driven Insights - Utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. This includes applying machine learning, statistical modeling, and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection. ### Collaborate on Solution Delivery - Work collaboratively to deliver data-driven solutions, ensuring effective data management and analysis to inform business decision-making. ### Maintain Technical Expertise - Stay up-to-date with industry-leading tools and technologies, including version control systems like Git, GitHub, and GitLab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins. ### Generative AI and cloud utilization - Design, implementation, and evaluation of generative AI and AI agents. Application development for backend functions of machine learning, generative AI, and AI agents. Infrastructure setup and resource preparation (subscriptions, network, computing resources, etc.) using Azure, AWS, GCP, etc. Required technical and professional expertise ### Data Analysis and Modeling - Experience with data preparation, analysis, and predictive modeling using tools like Pandas, NumPy, Dask, Matplotlib, Seaborn, and Plotly, with the ability to forecast trends and suggest optimizations for improved business outcomes. ### Programming Languages - Proficiency in programming languages, particularly Python, and experience with development environments like PyCharm, VS Code, and Jupyter Notebooks. ### Data Management - Experience managing and analyzing diverse data types and structures, including databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL. ### Optimization and Statistical Analysis - Experience with mathematical optimization tools like IBM CPLEX and Gurobi, and statistical analysis capabilities using SPSS, SAS, R, and Python. ### Technical Tools and Systems - Experience with version control systems like Git, GitHub, and GitLab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins. ### Generative AI and cloud utilization Preferred technical and professional experience ### Machine Learning Knowledge - Experience with machine learning, statistical modeling, and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection. ### Scripting Abilities - Shell scripting abilities, along with experience in managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL. ### Optimization Skills - Experience with tools like IBM CPLEX and Gurobi for optimization. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. ## At a glance - Posted by the employer: Jun 12, 2026 - First seen by OpenNash: Jul 11, 2026 - Last checked: Oct 19, 2026 - Listed for: 129 days - Location: Tokyo, JPN[Apply on IBM’s careers site →](https://ibm.dejobs.org/jobs/B4765175C73E46B4A6577C420490E10B/) ## More jobs at IBM ### [Customer Transformation（CX戦略コンサルタント/ストラテジックマーケティングプランナー）](https://jobs.opennash.com/companies/ibm/jobs/6fa9c9e6cea89e5469f6/) Tokyo, JPN ### [Quantum Client Delivery Lead](https://jobs.opennash.com/companies/ibm/jobs/6feea281934bd2457e66/) Tokyo, JPN ### [SAP AMS PM](https://jobs.opennash.com/companies/ibm/jobs/27a8b724f70fa83f6f07/) Tokyo, JPN ### [SAPコンサルタント](https://jobs.opennash.com/companies/ibm/jobs/04806c1a85de0f3faa73/) Tokyo, JPN ### [セキュリティ・プロジェクトマネージャ/アーキテクト/テクニカルスペシャリスト](https://jobs.opennash.com/companies/ibm/jobs/9cd79588736916bc5ddc/) Tokyo, JPN ## Similar jobs at other companies ### [データサイエンティスト（プロセスエンジニア）](https://jobs.opennash.com/companies/sandisk/jobs/a491290c86e291d242dd/) Sandisk ### [データサイエンティスト](https://jobs.opennash.com/companies/hyakugo-bank/jobs/3294e0cae1ee747860b1/) Hyakugo Bank ### [【A33】データサイエンティスト](https://jobs.opennash.com/companies/aisin-seiki/jobs/a2fc61e570bf930096e6/) Aisin Seiki ### [【総合職】データサイエンティスト](https://jobs.opennash.com/companies/kansai-electric-power/jobs/6626f67978a67707c468/) Kansai Electric Power ### [【デジタル戦略企画部】ビジネス変革を支えるデータアナリスト／データサイエンティスト](https://jobs.opennash.com/companies/mitsubishi-ufj-lease/jobs/307dfc48870e5debb328/) Mitsubishi UFJ Lease OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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