6 Data Science jobs in the Philippines
BI Data Scientist
Taytay, Rizal
New York Global Consultants (NYGCI)
Job Viewed
Job Description
**BI DATA SCIENTIST**
**JOB DESCRIPTION**
Are you ready to grow your career by taking on a new role at Bell? We always look for qualified internal applicants within our own team to support their development.
Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
As a Data Scientist on this team, you will support the development of statistical and machine learning models, working closely with machine learning engineers to launch these models at scale. You will work with exabytes of rich datasets to develop decision making models that provide recommendations for our customers.
- Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
- You have development experience with at least one general programming language (e.g. Python, C/C++, Java)
- You have previous experience with ML frameworks (e.g. Scikit-learn, Keras, Tensorflow)
- Drive the creation of machine learning algorithms in the areas of:
- Customer Behaviour
- Customer Segmentation and clustering
- Mining and analyzing data from company databases to improve marketing, product development, or overall business strategies
- Using predictive modeling to optimize revenue growth, marketing campaigns, and customer experiences
- Developing A/B testing campaign frameworks and testing model quality
- Communicating and coordinating with teams to implement data-driven strategies while measuring progress.
**QUALIFICATIONS**
- ML technical expertise (frameworks and libraries):
- GCP Vertex AI Platform
- Python development skills
- Experience with general ML/Data Science tools in Python: numpy, pandas, sklearn, jupyter etc
- Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
- Computer science fundamentals
- Database: SQL, Hadoop
**Theoretical Knowledge**:
- Advanced knowledge of ML models: deep learning, reinforcement learning, and others
- Theoretical understanding of neural networks, backpropagation, and optimization algorithms with emphasis on mathematical understanding.
- Mathematical understanding of some ML algorithms: regression, SVM, decision trees, etc
**Salary**: Php80,000.00 - Php90,000.00 per month
Schedule:
- 8 hour shift
- Night shift
Ability to commute/relocate:
- Taytay, Rizal: Reliably commute or planning to relocate before starting work (required)
**JOB DESCRIPTION**
Are you ready to grow your career by taking on a new role at Bell? We always look for qualified internal applicants within our own team to support their development.
Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
As a Data Scientist on this team, you will support the development of statistical and machine learning models, working closely with machine learning engineers to launch these models at scale. You will work with exabytes of rich datasets to develop decision making models that provide recommendations for our customers.
- Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
- You have development experience with at least one general programming language (e.g. Python, C/C++, Java)
- You have previous experience with ML frameworks (e.g. Scikit-learn, Keras, Tensorflow)
- Drive the creation of machine learning algorithms in the areas of:
- Customer Behaviour
- Customer Segmentation and clustering
- Mining and analyzing data from company databases to improve marketing, product development, or overall business strategies
- Using predictive modeling to optimize revenue growth, marketing campaigns, and customer experiences
- Developing A/B testing campaign frameworks and testing model quality
- Communicating and coordinating with teams to implement data-driven strategies while measuring progress.
**QUALIFICATIONS**
- ML technical expertise (frameworks and libraries):
- GCP Vertex AI Platform
- Python development skills
- Experience with general ML/Data Science tools in Python: numpy, pandas, sklearn, jupyter etc
- Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
- Computer science fundamentals
- Database: SQL, Hadoop
**Theoretical Knowledge**:
- Advanced knowledge of ML models: deep learning, reinforcement learning, and others
- Theoretical understanding of neural networks, backpropagation, and optimization algorithms with emphasis on mathematical understanding.
- Mathematical understanding of some ML algorithms: regression, SVM, decision trees, etc
**Salary**: Php80,000.00 - Php90,000.00 per month
Schedule:
- 8 hour shift
- Night shift
Ability to commute/relocate:
- Taytay, Rizal: Reliably commute or planning to relocate before starting work (required)
This advertiser has chosen not to accept applicants from your region.
Job No Longer Available
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Risk and Data Science Officer
Taguig, National Capital Region
Nityo Infotech
Posted 12 days ago
Job Viewed
Job Description
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
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
This advertiser has chosen not to accept applicants from your region.
0
Risk and Data Science Manager
Taguig, National Capital Region
Nityo Infotech
Posted 12 days ago
Job Viewed
Job Description
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
₱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
This advertiser has chosen not to accept applicants from your region.
1
AI & Data Science Sr. Manager
Taguig, National Capital Region
Hrtx
Posted 17 days ago
Job Viewed
Job Description
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.
- 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.
This advertiser has chosen not to accept applicants from your region.
2
Head of AI & Data Science
Hrtx
Posted 3 days ago
Job Viewed
Job Description
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:
- Lead and manage end to end AI and Data focused projects for clients, including problem definition, data acquisition, model development, validation, deployment and monitoring.
- Work closely with clients and stakeholders to understand their business needs and objectives, and translate them into analytics problems and solutions.
- Lead a team of AI/ML experts to deliver high-quality solutions for clients.
- Provide thought leadership and guidance on best practices and methodologies.
- Architect and implement scalable and robust analytics solutions using Python and next generation technologies such as cloud, big data, AI/ML, etc.
- Get involved in business development, client engagement, proposal writing and presentation of the solutions to senior stakeholders and clients.
- Identify new opportunities and generate proposals for potential clients
- 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 advertiser has chosen not to accept applicants from your region.
3
Machine Learning Engineer
Parañaque, National Capital Region
J&J Family of Companies
Posted 1 day ago
Job Viewed
Job Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Function:**
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Paranaque, National Capital Region (Manila), Philippines
**Job Description:**
**We are searching for the best talent for** **Machine Learning Engineer.**
As a Data Science / ML Engineer at J&J, you will collaborate closely with stakeholders across various functions to develop innovative Data Science solutions addressing diverse business challenges. From feasibility studies to deployment, you'll be involved in the entire lifecycle-from understanding pain points to transforming data into impactful insights and scalable models.
**You will be responsible for**
+ Partnering with stakeholders to understand their business problems and define data-driven solutions.
+ Conducting feasibility studies by engaging with stakeholders to capture pain points and relevant use cases.
+ Extracting and collecting data from databases and other sources in collaboration with Data Engineers and IT teams.
+ Cleaning, preprocessing, and standardizing data to ensure quality and usability.
+ Researching appropriate solutions by reviewing literature on statistical and machine learning methodologies, exploring Python libraries, and evaluating available models such as LLMs.
+ Performing feature engineering to build predictors/variables vital for model accuracy.
+ Coding solutions using Python within analytics platforms like Databricks.
+ Communicating findings and solutions to stakeholders; iteratively refine models based on testing and validation.
+ Deploying models in analytics platforms, working with Software Developers on frontend designs for real-time predictions or Data Visualization specialists for batch/scheduled forecasts using tools like Tableau or PowerBI.
+ Collaborating with Data Engineers to deploy backend pipelines supporting these solutions.
**Qualifications / Requirements** **:**
+ At least 2 years of experience in Data Science, Data Analytics, Statistical Modeling, Machine Learning Engineering, or related roles.
+ Bachelor's or Master's degree in Statistics, Physics, Computer Science, Engineering, Mathematics, Economics, or a similar field.
+ Proficient in Python, with experience using libraries such as statsmodels, TensorFlow, PyTorch, etc., especially for statistical modeling, machine/deep learning, and handling big data.
+ Knowledge of Large Language Models (LLMs) for Natural Language Processing
+ Knowledge on Statistical and Machine Learning modeling (such as clustering, regression modeling, time series modeling, etc.).
+ Experience with SQL and data manipulation techniques.
+ Familiarity with analytics platforms such as Databricks, Domino, Dataiku, etc.
+ Familiarity with dashboard and visualization tools like Tableau and Power BI.
+ Willingness to work on a mid shift
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Paranaque, National Capital Region (Manila), Philippines
**Job Description:**
**We are searching for the best talent for** **Machine Learning Engineer.**
As a Data Science / ML Engineer at J&J, you will collaborate closely with stakeholders across various functions to develop innovative Data Science solutions addressing diverse business challenges. From feasibility studies to deployment, you'll be involved in the entire lifecycle-from understanding pain points to transforming data into impactful insights and scalable models.
**You will be responsible for**
+ Partnering with stakeholders to understand their business problems and define data-driven solutions.
+ Conducting feasibility studies by engaging with stakeholders to capture pain points and relevant use cases.
+ Extracting and collecting data from databases and other sources in collaboration with Data Engineers and IT teams.
+ Cleaning, preprocessing, and standardizing data to ensure quality and usability.
+ Researching appropriate solutions by reviewing literature on statistical and machine learning methodologies, exploring Python libraries, and evaluating available models such as LLMs.
+ Performing feature engineering to build predictors/variables vital for model accuracy.
+ Coding solutions using Python within analytics platforms like Databricks.
+ Communicating findings and solutions to stakeholders; iteratively refine models based on testing and validation.
+ Deploying models in analytics platforms, working with Software Developers on frontend designs for real-time predictions or Data Visualization specialists for batch/scheduled forecasts using tools like Tableau or PowerBI.
+ Collaborating with Data Engineers to deploy backend pipelines supporting these solutions.
**Qualifications / Requirements** **:**
+ At least 2 years of experience in Data Science, Data Analytics, Statistical Modeling, Machine Learning Engineering, or related roles.
+ Bachelor's or Master's degree in Statistics, Physics, Computer Science, Engineering, Mathematics, Economics, or a similar field.
+ Proficient in Python, with experience using libraries such as statsmodels, TensorFlow, PyTorch, etc., especially for statistical modeling, machine/deep learning, and handling big data.
+ Knowledge of Large Language Models (LLMs) for Natural Language Processing
+ Knowledge on Statistical and Machine Learning modeling (such as clustering, regression modeling, time series modeling, etc.).
+ Experience with SQL and data manipulation techniques.
+ Familiarity with analytics platforms such as Databricks, Domino, Dataiku, etc.
+ Familiarity with dashboard and visualization tools like Tableau and Power BI.
+ Willingness to work on a mid shift
This advertiser has chosen not to accept applicants from your region.
4
Software Engineer (AI/Machine Learning)
Hrtx
Posted 17 days ago
Job Viewed
Job Description
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!
This advertiser has chosen not to accept applicants from your region.
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