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Data Scientist for Financial Services

IBM

Software and Technology Jobs

Data Scientist for Financial Services

full-timePosted: Dec 12, 2025

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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IBM logo

Data Scientist for Financial Services

IBM

Software and Technology Jobs

Data Scientist for Financial Services

full-timePosted: Dec 12, 2025

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

Target Your Resume for "Data Scientist for Financial Services" , IBM

Get personalized recommendations to optimize your resume specifically for Data Scientist for Financial Services. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Scientist for Financial Services" , IBM

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data & AnalyticsData & Analytics

Answer 10 quick questions to check your fit for Data Scientist for Financial Services @ IBM.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.