Data Scientist for Financial Services
IBM
Data Scientist for Financial Services
Job Description
Data Scientist for Financial Services
📋 Job Overview
As a Data Scientist for Financial Services at IBM, you will collaborate with experts to drive transformation using hybrid cloud and AI technologies. This role requires curiosity and a relentless pursuit of knowledge to create innovative solutions for clients. IBM offers a culture that embraces your skills and experiences, fostering career growth and development.
📍 Location: Tokyo, JP (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Develop and implement advanced predictive models and algorithms
- Analyze large datasets to identify trends, patterns, and insights
- Collaborate with cross-functional teams to solve complex business problems
- Communicate findings and recommendations to stakeholders
✅ Required Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering
- 3+ years of experience in data science or a related field
- Proficiency in programming languages such as Python or R
- Experience with machine learning algorithms and statistical modeling
⭐ Preferred Qualifications
- Master's or PhD in a related field
- Experience in the financial services industry
- Familiarity with big data technologies like Hadoop or Spark
- Knowledge of cloud platforms such as IBM Cloud or AWS
🛠️ Required Skills
- Python
- R
- Machine Learning
- Statistical Modeling
- Data Analysis
- Communication
- Collaboration
- Problem Solving
🎁 Benefits & Perks
- Competitive salary and benefits package
- Opportunities for career growth and development
- Flexible work environment
- Access to IBM's global resources and technology
Locations
- Tokyo, JP, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- Machine Learningintermediate
- Statistical Modelingintermediate
- Data Analysisintermediate
- Communicationintermediate
- Collaborationintermediate
- Problem Solvingintermediate
Required Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering (experience)
- 3+ years of experience in data science or a related field (experience)
- Proficiency in programming languages such as Python or R (experience)
- Experience with machine learning algorithms and statistical modeling (experience)
Preferred Qualifications
- Master's or PhD in a related field (experience)
- Experience in the financial services industry (experience)
- Familiarity with big data technologies like Hadoop or Spark (experience)
- Knowledge of cloud platforms such as IBM Cloud or AWS (experience)
Responsibilities
- Develop and implement advanced predictive models and algorithms
- Analyze large datasets to identify trends, patterns, and insights
- Collaborate with cross-functional teams to solve complex business problems
- Communicate findings and recommendations to stakeholders
Benefits
- general: Competitive salary and benefits package
- general: Opportunities for career growth and development
- general: Flexible work environment
- general: Access to IBM's global resources and technology
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Answer 10 quick questions to check your fit for Data Scientist for Financial Services @ IBM.
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Data Scientist for Financial Services
IBM
Data Scientist for Financial Services
Job Description
Data Scientist for Financial Services
📋 Job Overview
As a Data Scientist for Financial Services at IBM, you will collaborate with experts to drive transformation using hybrid cloud and AI technologies. This role requires curiosity and a relentless pursuit of knowledge to create innovative solutions for clients. IBM offers a culture that embraces your skills and experiences, fostering career growth and development.
📍 Location: Tokyo, JP (Remote/Hybrid)
💼 Career Level: Professional
🎯 Key Responsibilities
- Develop and implement advanced predictive models and algorithms
- Analyze large datasets to identify trends, patterns, and insights
- Collaborate with cross-functional teams to solve complex business problems
- Communicate findings and recommendations to stakeholders
✅ Required Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering
- 3+ years of experience in data science or a related field
- Proficiency in programming languages such as Python or R
- Experience with machine learning algorithms and statistical modeling
⭐ Preferred Qualifications
- Master's or PhD in a related field
- Experience in the financial services industry
- Familiarity with big data technologies like Hadoop or Spark
- Knowledge of cloud platforms such as IBM Cloud or AWS
🛠️ Required Skills
- Python
- R
- Machine Learning
- Statistical Modeling
- Data Analysis
- Communication
- Collaboration
- Problem Solving
🎁 Benefits & Perks
- Competitive salary and benefits package
- Opportunities for career growth and development
- Flexible work environment
- Access to IBM's global resources and technology
Locations
- Tokyo, JP, India (Remote)
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Rintermediate
- Machine Learningintermediate
- Statistical Modelingintermediate
- Data Analysisintermediate
- Communicationintermediate
- Collaborationintermediate
- Problem Solvingintermediate
Required Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering (experience)
- 3+ years of experience in data science or a related field (experience)
- Proficiency in programming languages such as Python or R (experience)
- Experience with machine learning algorithms and statistical modeling (experience)
Preferred Qualifications
- Master's or PhD in a related field (experience)
- Experience in the financial services industry (experience)
- Familiarity with big data technologies like Hadoop or Spark (experience)
- Knowledge of cloud platforms such as IBM Cloud or AWS (experience)
Responsibilities
- Develop and implement advanced predictive models and algorithms
- Analyze large datasets to identify trends, patterns, and insights
- Collaborate with cross-functional teams to solve complex business problems
- Communicate findings and recommendations to stakeholders
Benefits
- general: Competitive salary and benefits package
- general: Opportunities for career growth and development
- general: Flexible work environment
- general: Access to IBM's global resources and technology
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist for Financial Services @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs