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Philip

Data Scientist

Taguig, Philippines

Work setup
Hybrid stated — work setup source
Location: The Finance Center, BGC Working Pattern: Hybrid, 2-3 days on-site per week At PMI, we’ve chosen to do something incredible. We’ve transformed our business and are building our future on one clear purpose—to deliver a smoke-free future.
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What you’ll work on

Full posting

  • Develop, validate, deploy, and optimize machine learning and AI models.

  • Partner with cross-functional teams to deliver data-driven solutions and continuous innovation.

From the employer’s posting
What You’ll Do Develop, validate, deploy, and optimize machine learning and AI models. Apply statistical, predictive, and prescriptive analytics techniques to solve business problems.
Communicate insights and recommendations to stakeholders through reports, dashboards, and visualizations. Partner with cross-functional teams to deliver data-driven solutions and continuous innovation. Skills & Capabilities

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Location & working pattern

Taguig, Philippines

Location: The Finance Center, BGC Working Pattern: Hybrid, 2-3 days on-site per week At PMI, we’ve chosen to do something incredible. We’ve transformed our business and are building our future on one clear purpose—to deliver a smoke-free future.
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Open source at join.pmicareers.com ↗Read the full description ↓
Posting history
Status in our records
Active
First seen by us
Sep 7, 2026
Recorded sightings
3
Last seen by us
Sep 8, 2026

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Job description

Data Scientist

Location: The Finance Center, BGC

Working Pattern: Hybrid, 2-3 days on-site per week

At PMI, we’ve chosen to do something incredible. We’ve transformed our business and are building our future on one clear purpose—to deliver a smoke-free future.

With huge change comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

Purpose of the role

The Data Scientist leverages advanced analytics, machine learning, artificial intelligence, and statistical modeling to transform data into actionable business insights. The role is responsible for developing scalable analytical solutions, including predictive and prescriptive models, while utilizing cloud technologies and Generative AI to drive business value and support data-driven decision-making.

What You’ll Do

  • Develop, validate, deploy, and optimize machine learning and AI models.
  • Apply statistical, predictive, and prescriptive analytics techniques to solve business problems.
  • Source, prepare, clean, and analyze structured and unstructured data from multiple sources.
  • Conduct exploratory data analysis, hypothesis testing, and model performance evaluation.
  • Integrate machine learning and Generative AI solutions into business processes and workflows.
  • Communicate insights and recommendations to stakeholders through reports, dashboards, and visualizations.
  • Partner with cross-functional teams to deliver data-driven solutions and continuous innovation.

 

Skills & Capabilities

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Minimum 2 years of hands-on experience in Data Science, Machine Learning, or Advanced Analytics.
  • Experience building and deploying AI/ML models in production environments.
  • Experience with cloud platforms, particularly AWS.
  • Knowledge of data governance and data management best practices.
  • AWS, Machine Learning, or Data Science certifications are an advantage.

 

Rewards & Benefits

  • Guaranteed 14th month pay
  • HMO coverage for you and your qualified dependents
  • PHP 10,000 annual medical reimbursement
  • Retirement Plan
  • Leave Conversion

Equal Opportunities Statement

We believe that diverse perspectives and experiences make us stronger. As an equal opportunity employer, we are committed to creating a workplace where every individual feels welcomed, respected, valued, and empowered to reach their full potential.

We encourage applications from people of all backgrounds and identities, and provide reasonable accommodations to ensure an accessible recruitment process. If you need support or adjustments during your application, let us know—we’re here to help you succeed.