189 Data Scientist jobs in the Philippines

The Data Scientist will play a key role in ensuring our data foundations are reliable, then focus on developing analytics solutions and creating impactful visualizations that turn data into actionable insights for business teams.

Key Responsibilities:

• Support the completion and optimization of existing ETL data pipelines and cloud storage (AWS S3)
• Ensure data accuracy, integrity, and availability for analytics use
• Build and enhance dashboards, reports, and visualizations that effectively communicate insights
• Partner with stakeholders to identify opportunities for data-driven improvements
• Translate complex datasets into clear, actionable business intelligence

Job Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Information Technology, Industrial Engineering, or a related field
• 1–3 years of experience in data engineering and/or analytics
• Advanced proficiency in Python and SQL (must-have)
• Strong experience with data visualization tools (e.g., Power BI, Excel)
• Knowledge of cloud platforms (e.g., Snowflake, AWS)
• Familiarity with ETL/ELT tools (Matillion or similar)
• Strong analytical skills, attention to detail, and ability to tell a story with data
• Ability to work independently while collaborating effectively with cross-functional teams.
• Willing to work in Ortigas, Pasig (Hybrid Work Setup).

Jollibee Worldwide Pte. Ltd., the hiring entity, is a wholly owned subsidiary of Jollibee Foods Corporation.

Company Introduction
ADVANCE.AI is a leading AI company that provides digital transformation, fraud prevention, and process automation solutions for enterprise clients. ADVANCE.AI currently partners over 500 enterprise clients across banking, financial services, fintech, payment, retail and e-commerce sectors. Headquartered in Singapore, ADVANCE.AI has a global footprint across 9 markets in 3 continents.

ADVANCE.AI is part of Advance Intelligence Group, an AI-driven technology company that consists of an ecosystem of AI-powered, credit-enabled products and services that includes consumer financing, digital identity verification and risk management as well as enterprise resource planning software. Founded in 2016, the Group has presence across South and Southeast Asia, Latin America and Greater China. The Group is backed by top tier investors SoftBank Vision Fund 2, Warburg Pincus, Northstar,Vision Plus Capital, Gaorong Capital, Pavilion Capital, GSR Ventures and Singapore-based global investor EDBI.

ADVANCE.AI was named ASEAN Fintech winner at the 2023 Singapore Fintech Festival Global Fintech Awards for its risk management technology.

Advance Intelligence Group employees are united by a shared vision and purpose: to
Advance with Intelligence for a Better Life--for our customers, colleagues and communities.
Our culture is built on values that are core to who we are and what we stand for:

• We foster an INNOVATION mindset
• We achieve results with EFFICIENCY and excellence
• We take pride in the QUALITY of our work
• We uphold INTEGRITY in all we do
• We embrace COLLABORATION to work across business lines and borders

You Will

• Work on risk model development for retail and SME finance products such as consumer lending, multi-finance, credit-card, SME and so on.
• Analyze and conduct feature engineering for massive data such as credit-report, e-commerce, and deploy the feature pipeline
• Evaluate third-party data to decide whether to use for the credit modeling.
• Research model methodology and data mining techniques to improve model performance.
• Continuous explore the value of data for credit modeling and data product.

What You Need To Succeed

• 3-6 years relevant experience in developing risk model and good understanding of credit risk management
• Good understanding and hands on experience of ML models such as boosting trees, regression models
• Good coding skills using SQL and Python
• Experience in data analysis and feature engineering
• Excellent English, be able to communicate in English fluently.

The Role

• Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform.
• Analyze user journeys and behavioral data across tenants to uncover insights that inform digital product development and engagement strategies.
• Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc.
• Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement.
• Collaborate closely with product managers, designers, and engineering to define KPIs, track product performance, and identify growth opportunities.
• Create dashboards and self-serve analytics tools to empower internal teams with real-time insights.
• Mentor and coach junior data team members, fostering their growth in analytics, modeling, and communication.
• Contribute to and uphold best practices in data quality, governance, and compliance, especially within the financial services sector.

The Requirements

• 10+ years of experience in data science, analytics, or related roles—ideally within fintech, pensions, insurance, or employee benefits domains.
• Strong SQL skills and experience working with large, complex data sets.
• Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis.
• Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools.
• Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau).
• Solid grasp of statistics, experimentation design, and causal inference techniques.
• Excellent communication and stakeholder management skills—able to influence and align diverse teams.
• Demonstrated team leadership or people management experience.

WTW is an Equal Opportunity Employer

Role Overview

Ideally the successful candidate will have practical experience working on data-driven applications in a collaborative environment. You will be responsible for building scalable data apps in Python with a strong focus on code quality and following OOP design patterns. Our group has a start-up / entrepreneurial approach with an open mind to the most suitable tools, following best practices and with scope to explore. Our tech stack includes Python, Snowflake, Jupyter, Gitlab, Docker, Airflow and AWS. We work closely with the data engineering team to deliver high quality apps across the business.

Role Responsibilities

• Build python apps to query, analyze and combine financial datasets using a variety of computational techniques
• Build dashboards to monitor and visualize application data
• Support and further development of existing applications
• Build quality control tools to ensure data quality across products

Experience / Competences

Essential

• Master's or PhD in data science/mathematics/engineering or a related field.
• Demonstrate experience in a Python Developer role
• Knowledge of SQL
• Experience working with large, complex data sets
• Demonstratable problem solving skills
• Experience with airflow, snowflake, docker, CI/CD

Desired

• Practical hands-on industry experiences working in a numerical/computational role
• Works well with data engineering, product and sales teams in cross team collaborations
• Experience with AWS/Azure/GCP cloud technologies
• Experience with GenAI/machine learning

Special Requirements

• Working to a US/UK time zone
• Working to hybrid work set up - 3x/week onsite
• Work during holidays and occasional overtime

We are seeking a highly analytical and creative Data Scientist to join our IT tech team to specialize in predictive modelling and insight generation. This role will focus on developing and refining models to come up with actionable insights that enhance user experience and support the development and management of business systems for the real estate arm of the Filinvest Group.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production

• Generate actionable insights for business improvements

• Design, build, and validate predictive models using linear and neural regression techniques.

• Analyze large datasets to extract patterns and trends to inform business decisions.
• Collaborate with UX designers, product managers, and engineers to translate data insights into improved user experiences.
• Support the development of business systems including sales and marketing portals, project monitoring tools, and ERP platforms.
• Develop and maintain data pipelines and model deployment workflows.
• Communicate findings clearly through visualizations, dashboards, and presentations.
• Continuously monitor model performance and iterate based on feedback and new data.
• Stay up-to-date with the latest developments in machine learning, data science, and user behavior analytics.

Qualifications

• Bachelor's and/or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• At least 3 - 5 years of experience in quantitative analytics and/or data modeling
• Proven experience with regression modelling, including both linear and neural network approaches.
• Deep understanding of predictive modeling, machine-learning principles, clustering and classification techniques, and algorithms
• Familiarity with Big Data frameworks and visualization tools
• Experience working with UX teams or applying data science to improve user experience is a plus.
• Excellent communication and storytelling skills using data.

Preferred Skills

• Familiarity with A/B testing and experimentation frameworks.
• Experience with cloud platforms (AWS, GCP, Azure) and data tools (SQL, Spark, etc.)

Requirements
Description and Requirements
Qualifications & Requirements:

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in a client-facing role, translating customer needs and project requirements.
• Experience effectively communicating feedback on guidelines & UX design to customer stakeholders.
• Strong understanding of coding languages (HTML, CSS, JSON, Javascript, Python…).
• Experience in AI Models processes and improvement methods.
• Experience in user-centered design principles is preferred but not essential.

Additional Job Description

• Data gathering, analysis, and interpretation
• Knowledgeable in visual and user-centered design principles
• AI Data model knowledge is good to have

EEO Statement

At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.

It is the spirit of Bayanihan that drives us to continue our legacy of excellence and commitment to care. As an organization, we achieve our successes through good, honest, and persevering hard work - TOGETHER. It is in this way in which our company was built; we progressed as the country's leading Pharmaceutical company, not by sheer luck, but by pure perseverance, integrity, and brotherhood. Grow with us, and be a part of the Bayanihan spirit.

Role Overview

• Provides support to the teams by conducting data analysis requiring tools when necessary, develops models for predictive and prescriptive purposes; performs data preparation required to accomplish above functions including data cleaning and data transformation
• Assesses quality of data by periodically conducting data audit to check on soundness and efficiency of methodology for data collection, processing, analysis, reporting/visualization, distribution and storage/ maintenance;
• Identifies gaps and opportunities in these data management processes and proposes ways to enhance or optimize these
• Designs and maintains dashboards and other possible data visualization platforms to facilitate reporting of data to relevant users in the ULCH business unit

Qualifications

• Graduate of a Bachelor's Degree in Management Engineering, Data Science, Statistics or Management Information Technology courses
• At least 3-6 years of relevant experience
• With experience in statistical analysis, Database management (SQL), Programming Languages (Python, R), Machine Learning, Data Visualization (Tableau)
• Data Engineers are welcome to apply

We are committed to providing our employees with the best possible experience. As a LEARNING ORGANIZATION, we are eager to support your development and create the most fitting career path for you. As DESIGNERS AND DRIVERS OF INNOVATION, we are keen to provide you with opportunities to positively transform processes that will intensify business growth. As a NURTURING FAMILY, we are passionate about conducting programs that can promote your wellness, and help you be the best that you can be. As BELIEVERS OF OUR PURPOSE, we are and we will always remain earnest in giving meaningful tasks that will keep you delighted and fulfilled - at work and beyond.

Join Our Professional Community: Forge Connections, Shape Futures, Together, Powering Businesses Worldwide

Are you ready to be part of a professional community that's
powering businesses globally to save, grow and transform
? Do you want to work with innovative technology, alongside talented professionals who share your passion for excellence? Look no further - hammerjack has the perfect opportunity for you

Role: Senior Data Analyst/Data Scientist

Location: Hybrid

About Us:

At hammerjack, we're not just another outsourcing company - we bring together skilled professionals from the Philippines with businesses worldwide, leveraging expert operations and the latest technology to create connections that empower our community. Our mission? To improve lives by fostering meaningful professional relationships and driving success on a global scale.

Our Impact:

Over the years, we've built workplaces that empower employees to thrive, contributing in meaningful ways to the success and culture of companies around the globe. With our focus on professional services and our people-first culture, hammerjack has become a trusted partner for businesses and professionals alike, humanizing the outsourcing industry one connection at a time.

As a Senior Data Analyst, you'll transform raw data into clear, actionable reports that help drive smarter business decisions. This role requires strong analytical skills, attention to detail, and the ability to communicate insights effectively.

DUTIES AND RESPONSIBILITIES

• Develop and Maintain Dashboards:
  Create visually compelling and data-driven Power BI dashboards and reports tailored to the needs of IT managed services teams.
• Data Analysis & Reporting
  : Analyze complex datasets to generate insights on service performance, ticket trends, operational efficiency, and customer satisfaction.
• Data Integration & Transformation:
  Extract, transform, and load (ETL) data from multiple sources, including IT service management (ITSM) systems, CRM, and financial platforms.
• Performance Monitoring:
  Track and report on key performance indicators (KPIs) for internal teams, ensuring data accuracy and consistency.
• Collaborate with Stakeholders:
  Partner with IT, operations, finance, and leadership teams to understand business needs and deliver data solutions that enhance decision-making.
• Automation & Optimization:
  Identify opportunities to automate reporting processes and improve data accessibility.
• Documentation & Training:
  Maintain clear documentation of reports, data models, and methodologies while training end users on Power BI functionalities.

QUALIFICATIONS

• Experience: 3+ years of experience in data analysis, business intelligence, or a related role.
• Experience ConnectWise is advantageous.
• Updated knowledge in using AI tools.
• Experience in IT Managed Services or a similar technology-driven industry.
• Technical Skills
  :
• Proficiency in Power BI (DAX, Power Query, data modeling, and visualization best practices).
• Strong Database skills for querying and managing relational databases.
• Experience working with ITSM, CRM, and financial data sources.
• Soft Skills
  :
• Strong analytical and problem-solving abilities.
• Excellent communication skills to convey complex data insights to non-technical audiences.
• Ability to work independently and collaboratively in a fast-paced environment.

What's in It for You:

• Flexibility
  : Work hybrid (remotely and from one of our inspiring offices) and enjoy a better work-life balance
• Inspiring Workspaces
  : Our offices are strategically located and designed to fuel your best work.
• Free Unlimited Barista Coffee and Booze
  : Enjoy refreshments from our cafe and beverage bar.
• Dynamic Open Spaces
  : Conducive for productivity and creativity.
• State-of-the-Art Security
  : Ensuring your safety and peace of mind.
• Game Rooms
  : Take a break and unwind with our recreational facilities.
• Competitive Compensation
  : Your talents deserve to be rewarded We help you negotiate with our clients.
• Professional Growth
  : Access to ongoing training and development opportunities to help you reach your full potential.
• A Supportive Community
  : Join a diverse and inclusive team that's dedicated to your success.
• Global Impact
  : Be part of something bigger and make a difference on a global scale.

Ready to Make a Difference?

If you're ready to join a dynamic team and be part of something truly special, we want to hear from you Apply directly on this job ad, and let's forge a brighter future together

hammerjack is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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.
• Background in Azure and DataRobot
• 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

Instagram

LinkedIn

Twitter

Chevron participates in E-Verify in certain locations as required by law.