OCBC Indonesia→
Data Scientist at OCBC Indonesia in BANTEN, Banten, Indonesia
Mid LevelOn-siteBANTEN, Banten, Indonesia
Skills
pythonsqlmachine learningstatisticsprobabilitydata analysisregressionclassificationclusteringsortingsearchingtreesgraphscommunicationcollaborationautonomyproblem solvingattention to detailawsazuregcpfinancial datafinancial regulationsproduction ml deployment
Job Description
We seek ad highly motivated data scientist do develop and utilize machine learning models to to solve complex financial challenges. Leverage your strong understanding of algorithms, machine learning, and data analysis to translate business needs into actionable solutions. Join us and make a real impact!
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.