Data Scientist
Job in
Daerah Khusus Ibukota Jakarta, Jakarta, Indonesia
Listed on 2026-07-11
Listing for:
Generali Indonesia
Full Time
position Listed on 2026-07-11
Job specializations:
-
IT/Tech
Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
- Explore, clean, and analyze data to generate insights for business decision-making.
- Assist in building dashboards, reports, and visualizations for business users.
- Develop and support predictive models and basic machine learning solutions.
- Perform data preparation, feature engineering, and model evaluation.
- Contribute to improving AI-driven applications, including automation tools and analytics solutions.
- Support development and testing of generative AI initiatives (e.g., chatbot, knowledge retrieval).
- Assist in prompt design, response evaluation, and content improvement.
- Collaborate with team members on AI and Large Language Model (LLM) based initiatives
- Partner with business stakeholders to understand requirements and translate them into analytical solutions.
- Communicate findings and insights in a clear, structured manner.
- Ensure compliance with data governance, privacy, and security standards.
- Bachelor’s Degree in Statistics, Mathematics, Computer Science, Actuarial Science, or related field.
- Fresh graduates are welcome to apply or candidates with 1–3 years of experience in data analytics, data science, or a related field.
- Internship or academic project experience in data or AI is highly valued.
- Hands‑on experience completing at least one machine learning project (e.g., academic, internship, or work), including data preparation, modeling, and evaluation.
- Strong analytical and problem‑solving skills with the ability to interpret model results and communicate actionable insights.
- Required skill (s):
Solid foundation in data analysis, statistics, and basic machine learning, Proficiency in Python and/or SQL, familiarity with common Machine Learning methods (such as regression, classification, clustering) and basic experience with data visualization tools (such as Power BI, Tableau, or similar).
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