en

Services

We understand that no two organisations are the same. Find out more about how we've customised our talent solutions to help clients across South East Asia meet their needs.

Read more
Jobs

View all the latest job opportunities in the Philippines. Write a new chapter in your career with Robert Walters today.

See all jobs
Candidates

Together, we’ll map out career-defining, life-changing pathways to achieve your career ambitions. Browse our range of services, advice, and resources.

Learn more
Services

We understand that no two organisations are the same. Find out more about how we've customised our talent solutions to help clients across South East Asia meet their needs.

Read more
About Robert Walters Philippines

Since our establishment in 2016, our belief remains the same: Building strong relationships with people is vital in a successful partnership.

Learn more

Work for us

Our people are the difference. Hear stories from our people to learn more about a career at Robert Walters

Learn more

Data Scientist (AI)

Save job

This is an exceptional opportunity for you to join a pioneering company in Makati that is rapidly making its mark in the world of Data Science and AI.

What you'll do:

  • Collaborate with stakeholders and clients to identify key opportunities for leveraging data in order to develop innovative business solutions tailored to operational needs.
  • Extract, mine, and analyse large datasets from company databases with the goal of optimising product development processes, enhancing marketing strategies, and informing critical business decisions.
  • Evaluate the effectiveness and accuracy of new data sources as well as data gathering techniques by applying rigorous statistical analysis methods.
  • Design and implement custom data models and algorithms that can be applied across various datasets to solve complex business challenges.
  • Utilise predictive modelling techniques to improve customer experiences, increase revenue generation, optimise ad targeting, and achieve other strategic business outcomes.
  • Coordinate closely with cross-functional teams throughout the organisation to ensure successful implementation of models while monitoring their performance over time.
  • Develop robust processes and tools for ongoing monitoring and analysis of model performance as well as overall data accuracy.
  • Communicate findings clearly through excellent written and verbal communication skills, ensuring technical insights are accessible to both technical and non-technical audiences.
  • Stay up-to-date with emerging trends in data science by actively seeking out learning opportunities related to new technologies, frameworks, or methodologies relevant to the field.

What you bring:

  • A graduate or post-graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative discipline demonstrates your strong academic foundation in relevant fields.
  • Proficiency in advanced statistical techniques such as regression analysis, constrained optimisation, sentiment analysis or graph community detection enables you to tackle complex analytical problems with confidence.
  • Hands-on experience using Python—including libraries like Pydantic AI, LangChain, LangGraph, Scikit-learn (Scikit), SciPy, NumPy—and SQL equips you with essential tools for manipulating large datasets and extracting valuable insights.
  • A proven track record in building generative AI agent workflows showcases your ability to innovate within cutting-edge areas of artificial intelligence.
  • Familiarity with distributed computing tools such as Databricks, Hadoop, Kafka, Attunity, Dask or Spark is highly desirable for handling big data environments efficiently.
  • Experience developing or deploying solutions within cloud-based platforms (such as AWS) along with containerisation techniques (Docker or AWS Elastic) would be advantageous for scaling projects seamlessly across different infrastructures.
  • Excellent written and verbal communication skills ensure that your technical findings are easily understood by both technical peers and non-technical stakeholders alike.
  • A genuine enthusiasm for continuous learning means you are always eager to master new technologies or methodologies relevant to evolving industry demands.

What sets this company apart:

This organisation stands out as one of Makati’s most promising start-ups dedicated exclusively to advancing Data Science and Artificial Intelligence initiatives that create positive change across industries. Here you’ll find an inclusive culture where collaboration is celebrated—your voice matters whether you're just starting out or stepping into a leadership role. The company’s mission-driven approach means every project has real-world impact: from optimising business operations to supporting community development through smarter use of information. Flexible working arrangements empower you to maintain balance between personal commitments and professional ambitions while ongoing training ensures continual skill enhancement. Surrounded by knowledgeable colleagues who share your enthusiasm for technology’s potential, you'll benefit from mentorship opportunities as well as exposure to diverse projects spanning multiple sectors. This is more than just a job—it’s an invitation to grow alongside some of the brightest minds in the field while contributing directly towards shaping tomorrow’s solutions today.

What's next:

If you are ready to take the next step in your career journey by joining a supportive team where your expertise can truly make an impact—this is your moment!

Apply today by clicking on the link provided; we look forward to discovering how your unique talents can help shape our shared future.

Due to the high volume of applications we are experiencing, our team will only be in touch with you if your application is shortlisted.

Contract Type: Perm

Specialism: Tech & Transformation

Focus: Business Intelligence & Analytics

Industry: IT

Salary: Negotiable

Workplace Type: Remote

Experience Level: Mid Management

Location: Makati

Job Reference: R4FV9J-5D25DFCB

Date posted: 21 October 2025

Consultant: Cheska Chong