20 Machine Learning jobs in the Philippines

**About Us**
Chevron is a leading multinational energy company with operations in over 180 countries. Founded in 1879, Chevron has a rich history of innovation and growth, making significant contributions to the global energy landscape.
Chevron markets Caltex® fuels, lubricants and other petroleum products in the Philippines. Our network of service stations, terminals and sales offices forms the backbone of our presence in the Philippines.
In March 2020, Chevron sold its 45% non-operated interest in the Malampaya natural gas field. This was the first natural gas development and largest industrial project in the Philippines.
From the Philippines, we provide operational support for Chevron offices on five continents. The workforce supplies transactional, processing and consulting services in areas ranging from finance to information technology.
Chevron operates through two subsidiaries in the Philippines. Our Downstream company is Chevron Philippines Inc. We also operate a business processes support organization through Chevron Holdings Inc.
There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).
CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.
CHI has received various recognitions as a top employer: the 2024 Circle of Excellence for CSR Company of the Year; 2024 Top 10 Fortune 500 companies; 2023 HR Asia best companies; 2022 Diversity Company of the Year; 2021 Asia's Best Employer Brand Award; 2021 Global Best Employer Brand Award; 2020 HR Asia Best Companies to Work for in Asia; 2019 Circle of Excellence, Top Employer Category at Asia CEO Awards, and the 2018 Wellness Company of the Year at the same Asia CEO Awards.
At Chevron, we believe humanity can solve any challenge - including meeting the world's energy needs of today, while advancing a cleaner energy tomorrow.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
**About the Role**
We have an exciting opportunity for a **Data Science Analyst.** This role will be based in **6750 Building, Makati City, Philippines.**
**Responsibilities include, but are not limited to, the following** :
**Data engineering and analysis**
+ Performs text, quantitative, statistical, financial, and operational analysis; identifying trends, patterns, and anomalies that impact financial performance?
+ Designs and implements data pipelines to automate the collection, cleaning, and processing of financial data from various sources?
+ Parse, cleanse, and manipulate large amounts of structured and unstructured data for analysis; perform QA testing to ensure accurate results?
+ Document data analysis processes, methodologies, and findings.
**Insight generation and strategy**
+ Conducts deep-dive analyses to uncover actionable insights that influence financial and operational strategy
+ Provides data-driven support for enterprise-wide Finance initiatives, ensuring alignment with business unit goals.
**Collaboration and communication**
+ Collaborates with the business to review data sources, data inconsistencies, and business logic for initiating data discovery?
+ Partner with cross-functional teams to understand data requirements and deliver actionable insights.
**Continuous Improvement**
+ Stay current with industry trends and emerging technologies to ensure our data analysis practices remain cutting-edge.
**About You**
We know our greatest resource is the ingenuity, creativity and innovation of our people. Applications from motivated and talented individuals with a keen interest in the energy industry are encouraged.
**Knowledge, Skills, and Experience:**
+ Bachelor's degree in Accountancy, Data Science, Computer Science, Statistics, or a related field (or equivalent experience).
+ 3+ years' experience in data science or advanced analytics
+ Expertise in working with large-scale data environments, including data lakes and distributed systems. Understands data architecture, table relationships, and data lineage across platforms.
+ Proficient in tools and languages such as Python, R, SQL
+ Experience in cloud-based Machine Learning services (e.g., Azure ML, AWS SageMaker). Capable of building, deploying, and maintaining AI/ML models in production environments.
+ Expertise in Extract, Transform, Load methodologies and tools and navigating through large datasets.
+ Strong analytical and problem-solving skills with attention to detail and accuracy.
+ Excellent written and verbal communication skills to effectively frame analytics opportunities and convey data-driven insights through storytelling
+ Experience in partnering with people of diverse cultural backgrounds.
**Preferred qualifications:**
+ Certified Public Accountant (CPA) or equivalent
+ Strong Finance background that can be translated to model design, ROI assessment, cost-benefit analyses, among other methodologies.
+ Experience with finance and accounting tools (SAP, JDE, Blackline, GEP SMART)
+ Industry experience in oil & gas.
+ Proficiency in data modeling techniques, data fluency, and governance.
+ Experience in Information Risk Management (IRM).
_Everything we do at Chevron is guided by our values and our commitment to The Chevron Way_ _( _. At the heart of The Chevron Way is our vision to be the global energy company most admired for its people, partnership, and performance._
_Participate in world-leading energy projects, advance your professional development and expand your career within an inclusive, collaborative and high-performing workplace._
**Benefits**
+ Competitive salary
+ Allowances, medical and optical reimbursements
+ Health care coverage for you and your eligible dependents
+ Robust employee centered programs for health and wellness
+ Time-off to promote healthy work-life balance or to care for your family
+ Annual corporate incentive bonus when the company meets established goals
+ Recognition & awards program
+ Long-term savings plan
+ Life insurance
+ Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups
+ Hybrid work model - work remotely from home several days a week
At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly strive to attract, develop and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace.
Connect with us:
Facebook ( ( participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
- As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives._
- To get there, we need people with_
- tech/digital/analytics_
- expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone._

If you believe in developing a better tomorrow, read on.

WE ARE LOOKING FOR.

Other activities which you will be engaged on include:

- Projects that requires artificial intelligence in implementing automation
- Improving and assessing algorithms build by other data analytics and data scientist resources
- Build the data and analytics teams by assessing and learning data engineering tools and data visualization tools
- Train and educate the organization as we transform towards a data-driven organization
- Build processes and tools to govern data analytics across the organization
- Able to collect, extract, and wrangle data that is used to perform analytic modelling.
- Develop custom data models and algorithm applied to different data sets based on business requirements
- Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
- Develop testing framework and test model quality.
- Coordinate with different business units to implement models or process and tools.
- Develop governance and framework to establish analytics practice across the organization
- Able to collect, extract, and wrangle data that is used to perform analytic modelling.
- Develop custom data models and algorithm applied to different data sets based on business requirements
- Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
- Develop testing framework and test model quality.
- Coordinate with different business units to implement models or process and tools.
- Develop governance and framework to establish analytics practice across the organization
- Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives._

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
- As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives._
- To get there, we need people with_
- tech/digital/analytics_
- expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone._

If you believe in developing a better tomorrow, read on.

WE ARE LOOKING FOR.

Other activities which you will be engaged on include:

- Projects that requires artificial intelligence in implementing automation
- Improving and assessing algorithms build by other data analytics and data scientist resources
- Build the data and analytics teams by assessing and learning data engineering tools and data visualization tools
- Train and educate the organization as we transform towards a data-driven organization
- Build processes and tools to govern data analytics across the organization
- Able to collect, extract, and wrangle data that is used to perform analytic modelling.
- Develop custom data models and algorithm applied to different data sets based on business requirements
- Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
- Develop testing framework and test model quality.
- Coordinate with different business units to implement models or process and tools.
- Develop governance and framework to establish analytics practice across the organization
- Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives._

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
- As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives._
- To get there, we need people with_
- tech/digital/analytics_
- expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone._

If you believe in developing a better tomorrow, read on.

WE ARE LOOKING FOR.

Other activities which you will be engaged on include:

- Projects that requires artificial intelligence in implementing automation
- Improving and assessing algorithms build by other data analytics and data scientist resources
- Build the data and analytics teams by assessing and learning data engineering tools and data visualization tools
- Train and educate the organization as we transform towards a data-driven organization
- Build processes and tools to govern data analytics across the organization
- Able to collect, extract, and wrangle data that is used to perform analytic modelling.
- Develop custom data models and algorithm applied to different data sets based on business requirements
- Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
- Develop testing framework and test model quality.
- Coordinate with different business units to implement models or process and tools.
- Develop governance and framework to establish analytics practice across the organization
- Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives._

Risk and Data Science Officer
BGC, Taguig | Hybrid (3 days on-site) | Morning Shift (9am–6pm) br>
Work Experience
-- Experience in modelling
-- Background in banking or digital banking environment is an advantage

Knowledge Areas
-- Knowledgeable in general risk modeling process
-- Skilled in developing and interpreting scorecards (Application and Behaviour Scorecards)

Competencies/Skills
-- Proficient in R, Python, SAS, or SPSS
-- Above average documentation and technical writing skills
-- Strong proficiency in MS Office, especially Excel
-- Highly analytical with strong EQ; thrives in fast-paced and dynamic environments

Risk and Data Science Manager
₱150K MAX | BGC, Taguig | Hybrid (3 days on-site) | Morning Shift (9am–6pm) br>
Work Experience
-- Experience in modelling
-- Background in banking or digital banking environment is an advantage

Knowledge Areas
-- Knowledgeable in general risk modeling process
-- Skilled in developing and interpreting scorecards (Application and Behaviour Scorecards)

Competencies/Skills
-- Proficient in R, Python, SAS, or SPSS
-- Above average documentation and technical writing skills
-- Strong proficiency in MS Office, especially Excel
-- Highly analytical with strong EQ; thrives in fast-paced and dynamic environments

We're seeking an experienced and forward-thinking Senior Manager to lead our Data Science & AI initiatives. Youll take ownership of end-to-end project deliverydeveloping advanced analytics solutions and guiding a talented team to drive digital transformation across business areas like supply chain, logistics, procurement, and smart manufacturing.

Your Key Responsibilities

• Lead full AI/data project lifecycle: scoping, development, validation, deployment, and monitoring.
• Collaborate with stakeholders to define analytics goals and convert them into actionable models.
• Architect AI/ML solutions using Python , cloud, and big data technologies.
• Mentor a team of data scientists and developers.
• Present insights to senior leadership and clients; support business development and proposals.
• Grow the Data Science practice and shape its long-term direction.

What Youll Need

• Masters/PhD in Statistics, Computer Science, or related field.
• 12+ years of experience in AI, data science, or analytics.
• Expertise in Python, R, SQL , and libraries like Pandas and NumPy .
• Strong knowledge of optimization, ML, DL, NLP, simulation, and computer vision.
• Hands-on experience with cloud, Git, agile practices , and production environments.
• Deep understanding of analytics in logistics, inventory, and enterprise operations.
• Excellent communication, stakeholder management, and consulting skills.

Responsible for leading and delivering analytics solutions for our clients and associate functions such as, integrated business planning, produce lifecycle management, procurement transformation, smart manufacturing, digital logistics & fulfilment, and enterprise asset management. The candidate will also be involved in designing and developing analytics models using next generation technologies and Python.

The candidate will also be responsible in running and growing the Organization's Analytics Data Science Practice.

Role Description:

1. Lead and manage end to end AI and Data focused projects for clients, including problem definition, data acquisition, model development, validation, deployment and monitoring.
2. Work closely with clients and stakeholders to understand their business needs and objectives, and translate them into analytics problems and solutions.
3. Lead a team of AI/ML experts to deliver high-quality solutions for clients.
4. Provide thought leadership and guidance on best practices and methodologies.
5. Architect and implement scalable and robust analytics solutions using Python and next generation technologies such as cloud, big data, AI/ML, etc.
6. Get involved in business development, client engagement, proposal writing and presentation of the solutions to senior stakeholders and clients.
7. Identify new opportunities and generate proposals for potential clients
8. Mentor and coach junior analysts and developers on the team

Key Skills:

• At least 12 years of experience in data science, analytics, or artificial intelligence related modelling in the industry
• Proficiency in Python, R, SQL, and other data analysis tools and platforms
• Strong knowledge of analytical modelling required for fields such as logistics & distribution, inventory management, stock policy, optimization, catalogue health etc.
• Strong expertise in the application of analytical and AI techniques, such as optimization, simulation, machine learning, deep learning, natural language processing, computer vision, etc.
• High expertise in Python and next generation technologies such as cloud, big data, AI/ML, etc.
• Strong knowledge of Pandas and Numpy libraries.
• Excellent mathematical, statistical, and analytical skills.
• Understanding of end-to-end product development lifecycle in different environments such as dev, QA, and production.
• Git version control and Agile development experience.
• Experience in architecting and working on end-to-end analytics project lifecycle, including data acquisition, model development, validation, deployment and monitoring
• Ability to manage clients and stakeholders effectively and build strong relationships
• Ability to translate business problem into analytics problem and vice versa
• Excellent presentation and consulting skills

Work setup: Hybrid

Work location: BGC, Taguig City

Work schedule: Mid-shift

This is a remote position.

We’re looking for a systems-minded AI Engineer to lead the development of intelligent internal tools and agents at My Amazon Guy. This role is focused on building production-grade AI automations that improve our team’s efficiency from SOP lookups to task automation and internal communications. If you’re experienced with LLMs, APIs, and building real-world AI workflows, this role is for you. Key Responsibilities: Design and build scalable, production-ready AI Agents that integrate seamlessly into My Amazon Guy’s internal workflows Leverage OpenAI’s GPT-4 and Assistants API to create intelligent agents capable of executing tasks, retrieving information, and interacting with users in real time Develop Retrieval-Augmented Generation (RAG) pipelines that pull knowledge from internal SOPs (stored in BookStack) and client data, embedding them into vector databases like Chroma or Pinecone for fast and relevant retrieval Automate critical business actions through smart, multi-step workflows that interface with the Slack API (for team messages and DMs), Asana API (for task creation and tracking), and Gmail API (for email generation and updates) Create REST APIs that allow internal platforms (such as MAG Source) to access AI agent capabilities like SOP lookups, automated task generation, and agent status reporting Work closely with our backend (.NET) and frontend (Angular) developers to embed agents directly into our internal tools, enabling real-time productivity support Translate SOPs and structured data from Markdown or HTML into usable formats for AI agents via a custom ingestion pipeline Implement and document function-calling logic for multi-step behaviors (e.g., "retrieve SOP → create task → send Slack message") Build modular, testable AI systems that are auditable, reliable, and repeatable—ensuring transparency and control in agent decision-making Regularly monitor agent performance, identify inefficiencies, and iterate quickly to optimize responses and workflows Stay ahead of AI trends and bring innovative ideas to future internal tools, including possible expansions into SOP enforcement, ChatOps, or autonomous scheduling Requirements At least 2 years of experience in AI engineering or backend LLM development Strong proficiency in Python (FastAPI, Flask, or similar frameworks) Hands-on experience with LangChain or OpenAI Function Calling / Assistants API Proven track record of deploying production-grade AI agents or workflows Familiarity with vector databases such as Chroma, Pinecone, or Weaviate Comfortable working with APIs and webhooks (Slack, Asana, Gmail, etc.) Understanding of RAG pipelines and methods for reducing hallucinations Ability to think in systems: scalable, repeatable, and testable architecture Excellent communication and documentation skills Experience working remotely and cross-functionally with product, engineering, and operations teams Technical Requirements: A dual-monitor setup is required (at least 8GB of RAM) Must have at least 25 MBPS internet speed Benefits 40 hours a week, 8 hours a day Competitive salary base Permanent WFH setup Unlimited FREE access to MAG School courses and SOP Library! Work schedule is in EST (Monday-Friday only) Opportunities for professional development and career advancement You may follow up on your application by emailing us at