93 AI Research Scientist jobs in the Philippines

Job Title:
Senior Research Scientist - Network Security

About
Trellix:
Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work.
Our comprehensive, GenAI-powered platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions.

We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at

Role Overview:
We are looking for a Senior Research Scientist to help us build and expand

Trellix Network Detection and Response. The ideal candidate is someone who is passionate about solving real problems by turning cutting edge research into operational production solutions. In this role, you will focus on analyzing network-based attacker behavior and develop innovative solutions to address emerging challenges in the field of networking.

Responsibilities:

• Research attacker methodologies and develop innovative solutions to identify detection solutions
• Knowledge on how machine learning can be applied in networking problems
• Perform data analysis to measure efficacy and identify methodologies to improve existing solutions
• Forward Looking Research – Researcher will help develop leading edge prototypes to solve emerging challenges.
• Threat Analytics – Leverage threat intelligence from different sources, identify patterns to co-relate and establish the origin and flow of attacks.
• Drive roadmap for detection efficacy and network research operation

Requirements:

• Total 8 to 14years experience with at least three years direct or equivalent experience in areas of network-based threats and other aspects of cyber attacks.
• Strong understanding of networking protocols (e.g., TCP/IP) and network architecture.
• Proficiency in programming languages such as Python, C++, or Java.
• Knowledge of cybersecurity principles and practices
• Strong analytical, problem-solving, and communication skills

Preferred:

• Hands-on reverse engineering and knowledge of operating system internals.
• Red teaming experience on various techniques
• Machine learning experience

Additional Qualifications
Above all, the right passion and attitude to solve new challenges

Company Benefits and Perks:
We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

The Data Science Manager (Supply Chain) leads the development of advanced analytics and machine learning solutions to enhance supply chain operations, including forecasting, inventory, logistics, and production planning. This role requires strong technical and leadership skills, with a preference for experience in food manufacturing and distribution.

• Defines and executes the data science roadmap for supply chain transformation, partnering with senior leaders across planning, procurement, and operations to identify high-impact analytics initiatives.
• Leads the development of predictive and prescriptive tools to enhance efficiency, service levels, and cost savings, while driving continuous improvement within the data analytics function.
• Leads and mentors a team of data scientists and analysts focused on supply chain initiatives, managing projects from problem definition to model deployment.
• Ensures timely and scalable integration of analytics models with existing planning systems such as SAP, Anaplan, and Snowflake.
• Oversees the development of machine learning models for forecasting, inventory optimization, supply planning, network modeling, and anomaly detection using advanced algorithms like time series, reinforcement learning, and optimization techniques.
• Ensures model accuracy, scalability, and sustainability through robust monitoring and continuous improvement practices.
• Collaborates with Business Technology, Data Engineering, and Planning/Logistics teams to ensure seamless data access and model deployment.
• Drives adoption of data science solutions by communicating business value clearly and promoting a culture of data-driven decision-making within the supply chain organization.

JOB QUALIFICATIONS:

• A graduate of Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field; Master's degree in Data Science is preferred.
• Minimum of two (2) years of experience in data science, with at least one (1) year in a managerial or leadership role.
• Experience in the food manufacturing or logistics/distribution industry is highly desirable.
• Proficiency in data analysis tools and software such as SQL, Python, R, Tableau, Power BI.
• Solid understanding of statistical analysis, data mining, and machine learning techniques.
• Excellent analytical, problem-solving, communication skills, critical-thinking skills, and presentation skills.
• Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.
• Experience with ERP and supply chain management systems is a plus.
• Willing to work on a hybrid setup in Pasig or Laguna.

Zenith Foods Corporation, the hiring entity, is a wholly owned subsidiary of Jollibee Foods Corporation.

Data Science Consultant

We are looking for a highly experienced and technically proficient
Data Science Consultant
to join our team in
Manila
. This role requires a minimum of
7 years of dedicated experience
in data science and will involve significant leadership and technical contributions.

As a key member of our data science team, you will leverage your
expert Python skills
and understanding of
machine learning
to derive critical business insights. You will not only be responsible for hands-on data analysis and model development but also for guiding team decisions and fostering cross-functional collaboration.

Core Responsibilities:

• Technical Leadership:
  Act as a subject matter expert (SME), guiding and mentoring a team of data scientists, making crucial technical decisions, and ensuring high performance.
• Strategic Problem Solving:
  Identify and deliver data-driven solutions to complex problems impacting multiple teams and business functions.
• Collaboration & Influence:
  Engage effectively with various cross-functional teams to contribute to and influence key strategic decisions.
• Advanced Data Analysis:
  Perform comprehensive
  data analysis and munging
  (cleaning, transformation, normalization) on large, complex datasets to extract meaningful patterns and insights.
• Create compelling
  data visualizations
  using tools such as Tableau or Power BI to communicate findings clearly.

What You Bring:

• Expert-level Python
  skills.
• Profound understanding and hands-on experience with
  statistical analysis and a wide range of machine learning algorithms
  (e.g., linear/logistic regression, decision trees, clustering).
• Proven ability to
  extract, clean, and prepare large datasets
  for analysis.
• Proficiency in
  data visualization tools
  like Tableau or Power BI.

What's in store for you?

• Competitive salary and comprehensive benefits package
• Performance Bonuses
• Continuous learning and professional development programs
• Work with international clients

• Collect, clean, and analyze large structured and unstructured datasets.
• Develop and deploy machine learning models to solve business challenges.
• Design and implement experiments to test hypotheses and measure outcomes.
• Build data pipelines and scalable solutions for data processing.
• Communicate insights and recommendations to technical and non-technical stakeholders.
• Collaborate with engineers, product managers, and business analysts to integrate data-driven solutions into products and processes.
• Stay updated on emerging tools, technologies, and best practices in data science.

This is Direct hire - Permanent role to our client -

The salary range on this post is NOT the actual Budget of our client. Salary offer depends on your skills and experience and for approval of our client's management. They may still negotiate you.

Specific position: Data science Engineer

• Graduate of Bachelor's Degree
• ·Amenable to work on a Hybrid Set-up in Ortigas, Pasig / Antipolo, Rizal (We are still verifying the details)
• Willing to work on MIDSHIFT & Nightshift schedule (Specific details will be discussed by our client)
• At least 3 years of relevant working experience in Data Science engineering
• Knowledgeable about Computer Vision techniques, FPS.
• Proficiency in building pipelines using externally hosted and locally hosted Large Language Models (LLMs).
• Implement NLP algorithms and core concepts
• Experience in Python and proficiency in PyTorch and TensorFlow and Keras frameworks
• Comprehensive experience and detailed knowledge in implementing, enhancing, and evaluating RAG implementations/pipelines.
  •
• Familiarity with orchestration layers such as LangChain for efficient use of LLMs.
• Familiarity with vector database concept and use case
• _ No Attendance issues from previous employment
• Can start ASAP

Job Types: Full-time, Permanent

Pay: Php80, Php137,000.00 per month

Application Question(s):

• Are you willing to work on a Hybrid set-up in Antipolo, Rizal or Ortigas, Pasig? We are still checking the office location for this role.
• Are you willing to work on a MidShift schedule?
• How many years of total working experience do you have in BPO/International Companies and supporting international clients?
• How many years of total working experience do you have in Data Science engineering?
• How many years of total working experience do you have in Large Language Models (LLMs)?
• How many years of total working experience do you have in Python?
• SPECIFY if you have hands-on WORKING experience with the following: in PyTorch, TensorFlow, Keras frameworks
• How many years of total working experience do you have in Implementing NLP algorithms and core concepts?
• Do you have hands-on experience in implementing, enhancing, and evaluating RAG implementations/pipelines?
• Do you have hands-on experience in Computer Vision techniques, FPS?
• SPECIFY if you have hands-on WORKING experience in the following: LangChain, vector database concept and use case
• How much is your expected Salary? Php- basic pay/Month
• How soon can you start once hired?

Education:

• Bachelor's (Preferred)

Work Location: In person

At OnePuhunan (CreditAccess Philippines), we believe data is more than just numbers, it's the key to transforming lives and empowering communities. We're looking for a Data Science Officer who's passionate about using data, machine learning, and innovation to solve real-world challenges.

Why Join Us?

• Be part of a purpose-driven organization that impacts thousands of Filipino families

• Work on real business problems where your models and insights drive immediate results

• Collaborate with a dynamic and forward-thinking team that values innovation, agility, and growth

• Enjoy a culture that encourages continuous learning, creativity, and career development

What You'll Do

• Rapidly prototype, test, and deploy machine learning models that solve business challenges

• Clean, process, and optimize data for actionable insights and operational improvements

• Collaborate with stakeholders to design, refine, and validate models that deliver business impact

• Stay hands-on with SQL, Python, R, and other tools to ensure model accuracy and performance

• Build and scale advanced machine learning and artificial intelligence models to support business growth

• Develop interactive dashboards and data visualization tools for decision-making and performance tracking

• Design and implement AI solutions such as natural language processing, recommendation systems, and predictive analytics to enhance business operations

• Explore emerging AI technologies (e.g., generative AI, computer vision) and assess their application to financial inclusion

• Lead experimentation and model performance monitoring to ensure continuous improvement and reliability

What We're Looking For

• At least 5 years of experience in data science, machine learning, or advanced analytics

• Strong command of SQL, Python, and statistical modeling

• Background in Mathematics, Statistics, Economics, Computer Science, or related fields

• Analytical mindset, strong problem-solving skills, and the ability to communicate insights effectively

• A proactive team player who thrives in a fast-paced, impact-driven environment

Location

Head Office – Ortigas Center, Pasig City

Perks & Growth

• Work where data meets purpose, your contributions go beyond dashboards; they change lives

• Exposure to advanced analytics, big data tools, and innovation projects

• Opportunity to grow your career into leadership and product ownership roles

If you're ready to bring data to life and make an impact, apply now and be part of OnePuhunan's mission to empower communities through financial inclusion.

Who We Are:

At Kayana, we're shaping the future of technology by unlocking opportunities and driving progress at an accelerated pace. We push boundaries, expand horizons, and build on our legacy—supported by some of the country's most esteemed conglomerates and powered by the synergies of the MVP Group.

Our mission is clear: to create abundant opportunities and pave the way for generational progress for Filipinos. Harnessing the power of data and technology, we are leading the charge in crafting a new world where individuals and businesses are seamlessly connected to a digital universe, enabling them to do more and be more.

We're turning the impossible into possible. Sa Káyana, kaya na.

Job Summary:

The Data Science Associate will design, develop, and deploy machine learning models, generate actionable insights, and integrate external datasets (e.g., PSA, DOH, DOE) to strengthen analytics capabilities. This role is central to advancing Kayana's MLOps practices, ensuring models are scalable, reliable, and ethically applied.

The role also involves exploring emerging technologies such as Generative AI and LLMOps, building prototypes, and contributing to innovation initiatives. The associate may also mentor interns under Kayana's academic partnership programs.

Key Responsibilities:

• Model Development & Deployment - Build, train, and deploy predictive and generative ML models into production. Monitor, retrain, and optimize models to ensure fairness, scalability, and performance.

• Analytics & Insights – Extract and communicate insights from internal, public, and third-party datasets to support decision-making and product development.

• Data Enrichment – Acquire, integrate, and validate external data sources to improve model accuracy and analytical depth.

• MLOps & Automation – Implement best practices for versioning, monitoring, and retraining models. Contribute to strengthening Kayana's MLOps ecosystem.

• Innovation & Research – Explore and evaluate emerging tools, frameworks, and techniques in AI/ML, Generative AI, and MLOps. Deliver prototypes and proof-of-concepts for testing and adoption.

• Collaboration & Mentorship – Work closely with data engineers, product managers, and domain experts to deliver scalable solutions. Mentor interns and junior associates to build future talent pipelines.

Qualifications:

• Proven experience in developing and deploying ML models (e.g., classification, regression, clustering, forecasting)

• Strong programming skills in Python, with expertise in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face.

• Familiarity with MLOps tools and practices (MLflow, Feast, CI/CD, model monitoring).

• Solid foundation in data engineering concepts, SQL, and cloud platforms (AWS, Databricks, Spark preferred).

• Experience integrating public or third-party datasets into analytical workflows.

• Understanding of ethical AI, model explainability, and bias detection.

• Strong analytical thinking, problem-solving, and communication skills.

Education:

• Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. Master's degree or equivalent experience in data science, machine learning, or AI is an advantage.

Preferred Skills:

• Strong programming in Python, PySpark, and SQL, with hands-on expertise in Databricks.

• Proficiency with BI tools such as Power BI, Metabase, or Superset for visualization and reporting.

• Experience in data warehouse modeling and analytics engineering practices.

• Knowledge of data lake architectures for large-scale data management.

• Proficiency with ML frameworks such as scikit-learn, LightGBM, XGBoost, CatBoost, TensorFlow, PyTorch, Hugging Face.

• Exposure to Generative AI frameworks (LangChain, LlamaIndex, vector databases)

• Hands-on experience with MLOps practices and tools (MLflow, Feast, CI/CD pipelines, monitoring)

• Familiarity with DataOps/orchestration tools (Airflow, Prefect, Dagster)

• Understanding of Medallion architecture (Bronze/Silver/Gold layers) and Feature Stores.

• Strong data storytelling, dashboarding, and visualization capabilities.

• Understanding of cloud platforms, especially AWS (SageMaker, S3, Redshift), will be an advantage.

• Understanding of big data computing (Spark clusters, distributed systems) and GPU acceleration for deep learning and Generative AI.

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description
Are you a data enthusiast with a passion for leading innovative projects and driving transformation in finance? Join our Finance AI task force as a Data Science Lead and spearhead our data analytics strategy. If you thrive on creating impactful solutions and mentoring a dynamic team, this role is for you

What You'll Do

• Lead and Innovate: Drive the development of RPA, analytical reports, and GPT workflows to support our Finance Division's RPA and AI initiatives.
• Collaborate: Work closely with Finance stakeholders to identify key questions and define impactful RPA and AI projects.
• Deliver Insights: Ensure the delivery of high-quality, actionable insights through rigorous RPA and AI data analysis.
• Mentor and Guide: Lead and mentor a team of data scientists, fostering a data-driven culture and promoting continuous learning in RPA and AI.
• Communicate Effectively: Present findings and recommendations related to RPA and AI to senior management and other stakeholders, making complex data understandable and actionable.
• Visual Storytelling: Utilize your storytelling and visualization skills to turn RPA and AI data insights into compelling narratives that drive business decisions.

What We're Looking For

• Educational Background: Bachelor's or Master's degree in Applied Mathematics, Data Science, Statistics, Computer Science, or a related field.
• Technical Expertise: Strong proficiency in Python and extensive experience in data visualization and storytelling, particularly with Looker Studio.
• Communication Skills: Excellent communication and presentation abilities, with the knack for translating complex data findings into clear, actionable business insights.
• Leadership Skills: Proven ability to lead, mentor, and inspire a team, fostering a culture of innovation and excellence.

Why You'll Love This Role

• Impactful Work: Lead projects that directly influence key business decisions and drive the success of our finance operations.
• Creative Freedom: Use your creativity to design innovative data solutions and compelling visualizations that make a real difference.
• Dynamic Team: Join a team of passionate, forward-thinking professionals who value collaboration and innovation.
• Career Growth: Enjoy continuous learning opportunities and professional development in the fast-evolving field of data analytics.
• Innovative Projects: Be part of exciting projects involving RPA and AI, pushing the boundaries of what's possible and shaping the future of finance automation.

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.