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Senior Data Scientist

Job in Daerah Khusus Ibukota Jakarta, Indonesia
Listing for: PT Bank Neo Commerce Tbk
Full Time position
Listed on 2025-11-28
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below
Location: Daerah Khusus Ibukota Jakarta

Direct message the job poster from PT Bank Neo Commerce Tbk

Bridging Talent Acquisition, Employer Branding & Learning in Digital Bank

PT Bank Neo Commerce Tbk, formerly PT Bank Yudha Bhakti Tbk, is an Indonesia-based company primarily engaged in the banking business. The Company operates as a technology-based bank. The Company serves customers in the Small and Medium Business (SME), Retail (Consumer), and Mass Market segments, through banking products and services embedded in an ecosystem by optimizing technology.

  • Responsible for developing and implementing advanced analytics models to assess credit risk and make data-driven decisions.
  • Develop and maintain predictive models for credit risk assessment using machine learning and statistical techniques.
  • Analyze large datasets to identify trends, patterns, and insights related to credit risk.
  • Collaborate with cross-functional teams to implement risk models into business processes.
  • Lead and mentor a team of data scientists and analysts.
  • Stay abreast of industry trends and regulatory requirements related to credit risk.
  • Communicate complex analytical findings and recommendations to non-technical stakeholders.

Requirements:

  • Bachelor's degree or higher in Statistics, Mathematics, Computer Science, or a related field.
  • Minimum of 4 years of professional experience in data science, with a focus on credit risk modeling.
  • Extensive knowledge of the financial services industry, particularly in credit risk and lending practices.
  • Proficiency in statistical analysis and predictive modeling techniques.
  • Expertise in using programming languages like Python and SQL.
  • Experience with machine learning algorithms and data mining techniques.
  • Familiarity with big data platforms like Hadoop, Spark, or similar technologies.
  • Strong analytical and problem-solving skills, excellent communication and leadership abilities.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Sales and Business Development
  • Industries:
    Banking

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Position Requirements
10+ Years work experience
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