9 Data Scientist jobs in the Philippines

Must be a Graduate of BS/BA in Statistics, Mathematics, Economics, and other related courses.

At least 3 years of working experience related to the field.

Has proficiency and experience in using any of the following analytics tool: R; Python; RPSS

**Salary**: Php45,000.00 per month

**Benefits**:

- Health insurance
- Paid training

Schedule:

- 10 hour shift

Supplemental pay types:

- 13th month salary

Ability to commute/relocate:

- Alabang: Reliably commute or planning to relocate before starting work (required)

**Reporting to: IT manager/CEO**
**Department**: IT
**Location**: Pasig City (onsite)

**Job Overview**:
We are looking for a Data Scientist who will support our product, sales, leadership and branding teams with insights gained from analyzing company data.

**Responsibilities**:

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy

**Job Qualifications**:

- Strong problem solving skills with an emphasis on product development.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- We’re looking for someone with some in experience manipulating data sets and building statistical models, with a degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

**Salary**: Php40,000.00 - Php60,000.00 per month

Schedule:

- 8 hour shift

**Qualifications**
- Bachelor’s Degree in Computer Science, Statistics, Applied Math, Engineering or other quantitative fields
- Excellent communication and presentation skills, both written and oral. Able to translate outcomes into business value
- At least 3- 5 years in any field of data & analytics (data mining, predictive analytics, machine learning, business intelligence, data management). Senior applicants are encouraged to apply
- Minimum of 2 years of hands-on data analytics experience statistical or predictive modeling. Comfortable working with large, complex data sets from varying sources (e.g., transactional & enterprise data, unstructured data sets, internet/public data or data science research).

**Job Types**: Full-time, Permanent

**Salary**: From Php30,000.00 per month

**Benefits**:

- Health insurance
- Opportunities for promotion
- Paid training
- Pay raise
- Promotion to permanent employee

Schedule:

- 8 hour shift
- Day shift
- Monday to Friday

Supplemental pay types:

- 13th month salary
- Overtime pay
- Performance bonus

**Overview**
The primary function of the Data Science Analyst are the following:

- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Develop processes and tools to monitor and analyze model performance and data accuracy

**Skills and Qualifications**
- A Degree holder in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
- At least 1 year relevant experience in using statistical computer languages (R, Python, SQL,

etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

**Principal Duties**
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from Data Lake/s and Data Warehouse/s to drive optimization and improvement of product development, marketing techniques, business strategies and other initiatives.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Use data analytics modeling to increase and optimize customer experiences, revenue generation,
- ad targeting and other business outcomes.
- Develop company data model testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Perform other related tasks as required

**Job Types**: Full-time, Permanent

Schedule:

- Day shift

Artificial Intelligence/Machine Learning Engineer is responsible for designing and developing machine learning systems or AI products, implementing appropriate ML algorithms, and conducting experiments.
br>They possess strong programming skills, knowledge of data science, and expertise in statistics.

They work with data to create models, perform statistical analysis, and train and retrain models to optimize performance. Your responsibilities will involve designing and constructing sophisticated machine
learning models, as well as refining and updating existing systems.

Their goal is to build efficient self-learning applications and contribute to advancements in artificial intelligence.
In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles

Qualification
At least 3-5 years experience with Data Science or Machine Learning
Must have extensive experience with Python
Experience with at least 2 of the following technologies:
Predictive Modelling
NLP
Cloud Data (Azure, AWS, GCP)
Machine Learning/MLOps
Good to have:
Experience with GenAI Engineering (if candidate has this, they are automatically qualified)

**Company Description**:
Comprehensive Rehab Consultants (CRC) is building the future of nursing homes. We empower nursing home teams to provide exceptional clinical care to their elderly patients by embedding our clinicians and technology.

As a CRC employee, your work will be on the cutting edge of post-acute care and you can expect to take on challenges never attempted before in our industry. Our culture is obsessed with problem-solving to better serve the geriatric population, and we make all of our decisions reflecting our mission to make a high standard of care accessible to everyone.

We are looking for a Data Scientist who will play the lead role on strategic projects for the company. Your role will include collecting data, analyzing information, developing ideas, and testing them out before eventually scaling them across all our company and nursing home partners. You will have great visibility to senior leadership, including the COO and CEO.

While we've historically kept our team small, we simply can't ignore the opportunity ahead of us now. This is one of the most important roles we'll ever hire and will be responsible for executing ambitious goals with significant autonomy and support.

**Job Summary**:
This Data Scientist role will primarily work on managing our various databases and end-to-end data projects. This will include working with various stakeholders, writing SQL code, data manipulation using Python, and communicating progress in a clear and concise manner.

It requires extensive experience working with data infrastructures such as BigQuery. It is crucial for this position to play a significant role in keeping the validity and integrity of the data, and that the data pipeline is kept at an optimal level.

The position also requires some project management skills, effective data storytelling when delivering reports, and can promote a data-driven culture within the organization.

**Responsibilities**:

- Work closely with a Director of Operations, leading projects with significant autonomy.
- Work with various stakeholders across operations, business development, finance, IT, and HR.
- Perform analysis on large amounts of complex data to provide the business with fact-based insights and recommendations.
- Offer internal process and user/customer perspective of simplicity, efficiency, and effectiveness into design and analysis.
- Support departmental reporting, metrics, budgets, dashboards, and analytics.
- Make recommendations and present alternatives to address business needs or resolve impediments.
- Develop and test pilot use cases; create scaling plans and implement them.
- Quarterly bonus analysis, HIPPS simple LTC/ QCR analysis, and other miscellaneous analysis.
- Ad hoc improvements & maintenance, updating preset dashboards.
- Using internal data and market compensation levels to analyze large datasets.
- Creating and managing new dashboards and functionality
- Calculating profitability of different verticals.

**Minimum Qualifications**:

- Bachelor's degree in Mathematics, Statistics, Computer Science, or any related discipline. Post-graduate degree in Data Science or equivalent is a plus.
- The Data Scientist position requires 3-5 years of relevant experience.
- Strong analysis, decision-making, and problem-solving skills with excellent interpersonal and communication skills (both written and verbal).
- Must be very comfortable in using Python, SQL, and other data tools.
- Knows their way around large datasets, databases, data warehouses, ETL, dashboards, and other BI tools.
- Has experience integrating with databases using API.
- Experience with using BigQuery is a plus.
- Has some experience in creating small-scale automation.
- Ability to work as part of a team and interact effectively with others.
- Proficient in standard office software (MS Excel, Word, Powerpoint, or their Google Suite equivalent).
- Some healthcare exposure

**Compensation**: 2,000 USD a month / 115,000 PHP

**Why join us?**

Work for a fast-growing and fun company that is changing the way healthcare is delivered. We pride ourselves on having great culture, robust career advancement opportunities, and going the extra mile for all our teammates.

Comprehensive Rehab Consultants is a certified Great Place to Work and our purpose is built on the safety and well-being of our people!

**Environmental/Working Conditions**:
This position is fully-remote. Must be comfortable working in CST. Occasional extra hours or weekend work may be needed during extremely busy periods.

Pay: Php100,000.00 - Php115,000.00 per month

Schedule:

- 8 hour shift

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.

The position is responsible for analyzing large amounts of raw information to find patterns that will help build data products to extract valuable business and actionable insights. He / she will be supporting teams and leaders in solving business challenges using customer behavior and data. He / she must be able to translate data into actionable recommendations that will drive customer value that will contribute to overall strategic company goals.

Roles and Responsibilities:

- Ensures strategic and operational metrics affecting customer experience (CX) are tracked, measured and analyzed to identify gaps and opportunities, recommending action points to acquire new customers or improve the customer’s interaction with the organization.
- Develop best-suited data models and algorithms, and assess effectiveness based on available parameters.
- Provide the right insight in data-gathering and other data enrichment techniques.
- Develop and use predictive modeling and machine-learning algorithms to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Builds and leverages on key tools (AI, machine learning, etc) and dashboards in collaboration with business units to ensure data-driven decision-making.
- Ensures reporting accuracy, quality and explains CX performance drivers and impact to business units Uphold the customer database integrity of AIA Philippines and works with IT and Data Science teams, among a few, to ensure customer data quality
- Build strong in-house talent capabilities in analytics that aligns with AIA Philippines Life strategic CX and business goals.
- Implements all management policies and enforce the proper administrative action, as may be necessary.
- Leads projects as assigned to meet operational and/or strategic goals. Creates a customer-centric culture by defining, implementing and modeling an environment conducive to fostering the ‘customer first’ approach, especially in making strategic decisions.
- Support end-to-end data management initiatives: customer data collation, cleansing and manipulation.

Minimum Job Requirements:

- Bachelor’s Degree in Math, Statistics, Economics or Computer Science
- 3 or more years experience in analytics, strategy consulting, data decision, neural network, machine learning
- Experience data review and extraction from a large, enterprise data warehouse preferably with Python / R, SAS, Power BI and Advance Excel capabilities
- Experience working in an internal service role within a highly matrixed organization
- Must be adept with quantitative analysis and strategic decision making / planning experience
- Experience in supporting and managing research projects on insurance or financial industry a plus.
- Must have excellent judgment, results oriented, self-motivated to thrive under pressure and committed to continuous self development.
- Exceptional written, oral, interpersonal and presentation skills; presents with passion i.e. ability to explain technical details in a language that non-technical partners can comprehend
- Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives._

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!