Data Scientist Manager

Job Qualifications

  • Background education in Data Science, Statistics, Computer Science, Actuarial Science, or related field.

  • 5-7 years of experience in data science, with at least 2 years in a leadership role.

  • Prior experience in insurance or financial services is highly preferred.

  • Proficiency in Python, R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow).

  • Strong understanding of statistical modeling, predictive analytics, and data visualization tools (e.g., Power BI, Tableau).

  • Experience with big data platforms (e.g., Hadoop, Spark) and cloud environments (AWS, Azure, GCP)

  • Excellent communication and storytelling skills to translate complex data into actionable insights.

Key Accountabilities

  • Collaborate with cross-functional teams to identify business requirements, design experiments, collect and analyze data, and build predictive models. Have expertise that will contribute to enhancing data-driven decision-making processes and improving business outcomes.

  • Cleaning, processing, and analyzing data to prepare it for use in machine learning models.

  • Developing, testing, and validating machine learning models using appropriate toolsDeploying models into production systems and monitoring their performance.

  • Collaborating with the Data Science & Data Engineering team in developing machine learning models and data science solutions.

  • Collaborating with business stakeholders to identify opportunities for data-driven insights.

  • Defining project objectives and timelines, and managing project execution.

  • Contributing to the development of new data science and machine learning solutions.

  • Communicating results and insights to stakeholders through presentations and reports.

  • Staying up to date with industry trends and emerging technologies in data science and machine learning.


Information :

  • Company : Zurich Insurance Group
  • Position : Data Scientist Manager
  • Location : Jakarta
  • Country : ID

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Post Date : 2025-09-24 | Expired Date : 2025-10-24