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Sr. Data Scientist – Financial Analytics & AI

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Hybrid

Sr. Data Scientist – Financial Analytics & AI

Adventure Consultancy Solutions Philippines Inc.

Sr. Data Scientist – Financial Analytics & AI

Skills

SQL QueriesPythonData ScienceData VisualizationRData AnalysisMachine LearningAIAWSPower BIAzure

19 days ago

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Important information


Contract type:

Permanent

Location:

Metro Manila, Philippines

Work mode:

Hybrid

Published on:

2 October 2026

What they need


About the role

We are looking for a Senior Data Scientist to support the modernization of a large-scale financial projection platform. The role combines data science, machine learning, Generative AI, data engineering, and visualization, with a focus on building scalable analytics solutions using Python and the Azure data ecosystem.

Key responsibilities

  • Design and develop machine learning models and Generative AI applications
  • Perform data analysis and statistical modeling to generate actionable insights
  • Build and maintain scalable data pipelines and ETL processes
  • Create interactive dashboards and reports using Power BI
  • Work with stakeholders to understand data and analytics requirements
  • Ensure data quality and integrity through validation and quality checks
  • Produce technical documentation, insights, and recommendations
  • Collaborate with data analysts, analytics engineers, business stakeholders, and cross-functional teams

About you

  • Bachelor's degree in Data Science, Statistics, Information Technology, Engineering, or a related field
  • 5+ years of experience in data science or related roles
  • Hands-on experience in machine learning, statistical modeling, and Generative AI
  • Proficiency in Python, R, SQL, and data visualization tools such as Power BI
  • Experience building and maintaining data pipelines
  • Familiarity with cloud platforms such as Azure or AWS
  • Strong analytical, problem-solving, communication, and data storytelling skills
  • Experience working in Agile teams and with cross-functional stakeholders
  • Excellent written and spoken English

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