Data Scientist

Reposted 2 Months Ago
Be an Early Applicant
Hiring Remotely in Banten, IDN
Remote
Mid level
Insurance • Payments • Financial Services
The Role
Develop, implement, and maintain ML models for financial problems; clean and analyze large datasets; collaborate with stakeholders to translate needs into data solutions; communicate findings to technical and non-technical audiences; stay current on ML and FinTech advances.
Summary Generated by Built In

Data Scientist
Do you have a passion for uncovering insights from data and applying machine learning (ML) to solve problems in the dynamic world of finance?

We are seeking a highly motivated and independent Data Scientist to join our growing team!

In this role, you will:

  • Play a key role in driving data-driven decision making across the financial organization.
  • Develop, implement, and maintain ML models to solve complex financial challenges.
  • Work collaboratively with stakeholders across various business units to understand their needs and translate them into actionable data solutions.
  • Clean, analyze, and interpret large datasets to identify trends and patterns.
  • Communicate complex findings in a clear and concise manner to both technical and non-technical audiences.
  • Stay up-to-date on the latest advancements in ML and financial technology (FinTech).

Qualifications:

  • A strong understanding of fundamental algorithms and data structures (e.g., sorting, searching, trees, graphs).
  • Proficiency in applying basic machine learning concepts (e.g., regression, classification, clustering).
  • Experience working with programming languages like Python and R.
  • Solid foundation in statistics and probability.
  • Excellent communication and collaboration skills.
  • A passion for learning and staying informed about the latest trends in data science and finance.
  • A high degree of autonomy and the ability to manage multiple tasks simultaneously.

Bonus points if you have:

  • Experience with financial data and regulations.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
  • Experience developing and deploying ML models in production environments.

Skills Required

  • Strong understanding of fundamental algorithms and data structures
  • Proficiency in basic machine learning concepts (regression, classification, clustering)
  • Experience with programming languages such as Python and R
  • Solid foundation in statistics and probability
  • Excellent communication and collaboration skills
  • Passion for learning and staying informed about trends in data science and finance
  • Ability to work independently and manage multiple tasks simultaneously
  • Experience with financial data and regulations
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Experience developing and deploying ML models in production environments

PT Bank OCBC NISP Tbk Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PT Bank OCBC NISP Tbk and has not been reviewed or approved by PT Bank OCBC NISP Tbk.

  • Fair & Transparent Compensation — Pay is considered stable and aligned with market norms in Indonesia’s banking sector. Many describe salaries as decent or competitive for their roles, supporting generally positive-to-neutral sentiment on compensation.

PT Bank OCBC NISP Tbk Insights

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The Company
HQ: DKI Jakarta
7,768 Employees
Year Founded: 1941

What We Do

PT Bank OCBC NISP Tbk is a leading financial institution in Indonesia that provides a wide array of banking products and services to corporate, SME, and individual customers. Operating through business, consumer, and global markets segments, it offers savings, loans, credit cards, mutual funds, and insurance products. The company is a subsidiary of OCBC Overseas Investments Pte. Ltd. and is one of Indonesia's top ten banks.

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