Data Scientist

Nexus Recruitment Group; Taguig; On-site; PHP 1,500,000 - 2,000,000; Full time

Job summary

A financial services and insurance company is seeking a Data Scientist to develop data models and perform advanced analytics. The ideal candidate will have experience in predictive modeling and data engineering, and will collaborate with various teams to generate insights that drive decision-making. Candidates must have a degree in a related field and at least 3 years of experience in a similar role.

Qualifications

• 3+ years of experience in a data science or analytics role.
• Strong problem-solving, data storytelling, and communication skills.
• Ability to manage multiple projects in a fast-paced environment.

Responsibilities

• Design and implement predictive models and machine learning algorithms.
• Analyze large datasets to identify patterns and trends.
• Develop dashboards and visualizations for various users.
• Collaborate with business units to translate needs into data solutions.
• Ensure data quality and integrity throughout the data pipeline.
• Present findings and recommendations to senior stakeholders.

Skills

Predictive modeling

Statistical analysis

Data engineering

Python

R

SQL

Data visualization tools

Machine learning libraries

Education

Bachelors or Masters degree in Data Science, Statistics, Computer Science, Mathematics, or related field

Tools

Power BI

Tableau

scikit-learn

XGBoost

TensorFlow

AWS

Azure

GCP

Git

Job description

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.