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pt bank digital bca (bca digital)

Senior Data Scientist

pt bank digital bca (bca digital)
Indonesia
7-9 Years
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Job Description

Responsibilities

Key Responsibilities:

  • Drive leadership in Data Science team in developing and deploy predictive models for customer segmentation, churn prediction, and personalization services.
  • Experiences in Big Data technologies to improve scalability, real-time analytics, and data-driven decision-making.
  • Explore and implement AI technologies including Gen AI, LLM, and other advanced AI applications to improve Our operational processes and enhance customer experience.
  • Design and implement ML algorithms and Auto-ML for recommendation systems, personalized marketing, and other use cases.
  • Collaborate with Data Engineering to ensure scalable data pipelines, robust data architecture, and efficient data lake/warehouse solutions.
  • Perform exploratory data analysis and generate actionable insights for business stakeholders.
  • Lead initiatives on advanced analytics, including NLP, conversational AI, and intelligent automation.
  • Ensure compliance with data governance, security, and regulatory requirements.
  • Able to review model flow, data flow and architecture, and understand the impact of changes to data technology that will be implemented.
  • Mentor junior data scientists and contribute to building best practices in model development and deployment.
  • Partner with IT and business teams to integrate models into production systems and monitor performance.

Requirements

Job Requirements

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • Minimum 7+ years of experience in data science roles, preferably in banking, fintech, or digital platforms.
  • Proven track record of delivering machine learning and AI models in production environments.
  • Strong proficiency in Python or R, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with Gen AI, LLMs, and related frameworks (e.g., Hugging Face, LangChain).
  • Expertise in Big Data technologies such as Apache Spark, Hadoop, Kafka, and distributed computing.
  • Strong SQL skills and familiarity with data lake/warehouse architectures.
  • Experience with cloud platforms and containerization.
  • Solid understanding of data modeling, feature engineering, and model evaluation techniques.
  • Knowledge of MLOps practices and tools for CI/CD in ML workflows.
  • Familiarity with digital banking products, customer lifecycle, and risk management.
  • Understanding of regulatory compliance in Indonesian banking.
  • Ability to lead projects and mentor team members.

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Science
Employment Type:
Full time

Job ID: 148305797

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Last Updated: 25-05-2026 06:24:11 PM
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