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Open nowFirst seen 3 days ago

Data Scientist

Nexus Recruitment Group310 open roles

Where
Taguig, Metro Manila, Philippines
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Your applicationOpen nowData ScientistNexus Recruitment Group · Taguig, Metro Manila, Philippines
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Nexus Recruitment Group's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Job Summary:

We are looking for a highly analytical and business-driven Data Scientist to develop data models, perform advanced analytics, and generate insights that drive strategic decision-making in a global financial services or insurance environment. This role will work closely with cross-functional teams in underwriting, actuarial, finance, and operations to turn complex data into actionable intelligence.

The ideal candidate is experienced in predictive modeling, statistical analysis, and data engineering, with a strong understanding of how data science supports risk management, pricing, claims, and customer analytics.

Key Responsibilities:

  • Design and implement predictive models, machine learning algorithms, and data-driven tools to solve business problems.
  • Analyze large, complex datasets to identify patterns, trends, and opportunities across risk, claims, and financial operations.
  • Develop dashboards, visualizations, and automated reports for technical and non-technical users.
  • Collaborate with business units to understand needs and translate them into data solutions.
  • Ensure data quality, consistency, and integrity throughout the data pipeline.
  • Present findings and recommendations to senior stakeholders using clear, actionable insights.
  • Support the deployment and integration of models into business workflows and systems.
  • Stay current with emerging technologies and techniques in data science and advanced analytics.

Qualifications:

  • Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 3+ years of experience in a data science or analytics role, ideally in insurance, finance, or risk-heavy industries.
  • Strong proficiency in Python or R, SQL, and data visualization tools (e.g., Power BI, Tableau, or matplotlib).
  • Experience with machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow) and statistical modeling techniques.
  • Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and version control tools (e.g., Git).
  • Excellent problem-solving, data storytelling, and communication skills.
  • Ability to manage multiple projects and deliver results in a fast-paced environment.
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