8 Data Mining jobs in the Philippines

**The Company:**
Chevron Holdings Inc. (CHI) is a subsidiary and is a pioneer multi-function Shared Services Center in the Philippines located in Makati City. With a workforce of more than 1,000 employees, CHI delivers business services and solutions in areas such as finance, human resources, procurement, sales and marketing support and information technology.
**Join our Finance Team:**
Our Finance group delivers finance and accounting services to Chevron across the globe including Upstream, Downstream, Midstream and Corporate. We are innovative leaders sought out for our insights and commitment to protect and grow value. We are one team, bringing diversity to pursue common goal. We find better ways to do business and faster ways to make decisions. We inspire though our action. These are the qualities of Chevron Finance employees, and it is who we aspire to be.
In Finance, you will have the opportunity to grow your career in different functional groups such as Accounts Payable, Midstream Accounting, Bank, Revenue and Retail, Credits and Receivables, Intercompany, Financial Accounting and Reporting, Upstream Accounting and Business Analysis and Support.
Chevron is accepting online applications for the **Data Science Analyst** position located in Makati City, Philippines.
The Digital Analyst role is tasked to work with the current data techstack of Chevron to enable delivery of required insights. The role will work with Data Products and will have good understanding of the usability of data.
**Responsibilities of this position include, but are not limited to:**
Data engineering and analysis
+ Perform text, quantitative, statistical, financial, and operational analysis; identifying trends, patterns, and anomalies that impact financial performance?
+ Design and implement 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
+ Conduct deep-dive analyses to uncover actionable insights that influence financial and operational strategy
+ Provide data-driven support for enterprise-wide Finance initiatives, ensuring alignment with business unit goals.
Collaboration and communication
+ Collaborate 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.
**Required qualifications:**
+ 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 ML services (e.g., Azure ML, AWS SageMaker). Capable of building, deploying, and maintaining AI/ML models in production environments.
+ Expertise in ETL 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).
**Working with us**
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 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.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
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.
**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
**Connect with us:**
Facebook
Instagram
LinkedIn
Twitter
YouTube Chevron
YouTube Caltex
Chevron 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 San Ramon, Calif. 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.

The Sr. Manager of Data Science is responsible for leading a team of data scientists and analysts, providing guidance, mentorship, and direction to develop high-quality predictive and prescriptive analytical solutions related to guest predictive modeling, experimentation and optimization, advanced marketing measurement, or pricing
optimization. These solutions will drive commercial performance, loyalty revenue, marketing ROI, and better customer outcomes. As a key member of the Data Science CoE in the GIAD (Global Insights, Analytics, and Data) organization, the Sr. Manager will work closely with the Loyalty & Guest Experience Analytics and Revenue & Channel Performance Analytics teams to turn data into actionable insights using advanced statistical, machine learning and data science techniques that inform strategic business decisions.
**Your day to day**
+ Collaborate with cross-functional teams to understand business needs and identify opportunities for leveraging data science to drive business solutions.
+ Address complex business problems using predictive analytics, advanced measurements, data science, and visualization techniques to drive insight and data-driven decision making.
+ Develop and publish comprehensive guidelines and best practices for model development, model deployment, experimental design, marketing measurement, or pricing optimization.
+ Communicate complex quantitative analyses in a clear, precise, and actionable manner to senior executives and non-technical stakeholders.
+ Guide and mentor junior resources in development of business knowledge and technical skills.
**What we need from you**
+ Proven experience in the field of predictive analytics, data science, experimentation and optimization, advanced marketing measurement (Marketing Mix Modeling, Multi-Touch Attribution), or pricing optimization.
+ Excellent knowledge of Machine Learning techniques and algorithms, incrementality measurement, or causal inference.
+ Excellent understanding of data architecture, data platforms, and data processing frameworks.
+ Excellent analytical, problem solving and collaborative skills.
+ Ability to communicate complex data/analyses in a simple, actionable way.
+ Strong leadership and team management skills.
+ Bachelor degree in Computer Science, Mathematics, Statistics or a closely related quantitative field with 7 or more years of progressive work experience in analytics; or Master degree in Business Analytics, Data Science, Statistics or a related field with 6 or more years of progressive work experience in analytics
Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.
At IHG Hotels & Resorts, we are proud to be an equal opportunity employer. We firmly believe that all our colleagues deserve to be treated equally and have the same opportunities to develop and grow their skills within our business and provide equal employment opportunities to all applicants and colleagues without regard to an individual's, race, color, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, disability, marital or familial status, veteran status or any other characteristic protected by law.

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

Join a high-impact engineering team driving innovation through AI-powered development . Were looking for a Senior Software Engineer who thrives in full-stack environments and is passionate about integrating AI and LLMs to elevate how we build software.

What Youll Do:

• Lead the design and development of scalable apps using .NET, Python, Angular/React
• Use AI coding assistants (Copilot, Cursor) and frameworks (LangChain, RAG, vector DBs)
• Embed LLM-powered features directly into tools and workflows
• Optimize cloud-based systems (AWS/Azure, serverless, containers)
• Champion best practices across teams and mentor on AI, Agile, and engineering excellence

What You Bring:

• 5+ years in full-stack development (.NET, Python, Angular/React)
• Hands-on with AI tools and model integration
• Strong cloud experience (AWS/Azure), APIs, SQL/NoSQL
• DevOps, CI/CD, and containerization knowledge (Docker/K8s)
• Deep curiosity for emerging tech and passion for team mentorship

Why This Role Stands Out:
This is not just a dev role. Youll be at the frontier of AI-driven software engineering , influencing how modern systems are built, maintained, and scaledwhile shaping the future of the developer experience.

Interested? Lets build whats next. Apply now!