543 AI Internship jobs in the Philippines

Job Description

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking for AI & Data Science Senior Manager who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

AI & Data Science Senior Manager

Work Mode: Hybrid

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:

·    A master's degree or PhD in statistics, mathematics, computer science, engineering, or a related field

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

MUST be coming with IT Consulting background

·    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

We take your personal data protection seriously and adhere to both EU and local data protection regulations.

Upon submission of your CV, you grant Avensys Consulting permission to retain your personal information in our electronic database, unless you specify otherwise. This data will be used to evaluate your suitability for current and potential job openings within our organization. Should you wish to have your personal data removed at any point, a simple notification to us will suffice.

Rest assured, we will not disclose your personal information to any third parties, and we remain steadfast in our commitment to providing equal opportunities to all applicants.

Training and Marketing Professionals Inc.(TMPI) is looking for (1) Data Science and AI Engineer

• Hybrid work set-up (Rockwell, Makati - 2-3x a week)
• With competitive salary

Overview:

- The role Data Science and AI Engineer will be responsible for accelerating various initiatives that will enhance Global Clinical Supply business operations and colleague productivity across the organization.

The roles and responsibilities are a combination of analytics and development that will give the opportunity to use many skills across a diverse set of projects.

SKILLS:

• Proven experience manipulating and analyzing structured and unstructured data.
• Familiarity with the supply chain and logistics domain
• Experienced in Python or R and RShiny applications
• Experience in Snowflake or similar SQL DB platforms
• Experience in Microsoft Power Automate and Copilot,
• Extensive knowledge of prompt engineering and LLM parameter optimization
• Ability to think creatively and participate in exploratory and innovative projects that may not be well defined at first.
• Contribute to business analysis activities to help define requirements and expectations, as well as success criteria.
• Understanding of how these applications will scale and what future support is necessary

QUALIFICATIONS:

• Bachelor's degree or higher in a computer science, data science or equivalent
• Knowledge and experience working in a Good Manufacturing Practices (GMP) / Good Clinical Practices (GCP) environment.
• Adaptable to non-standard work schedule or environment requirements.

JOB DESCRIPTION:

• Data Integration: Utilize Snowflake's capabilities to integrate diverse datasets from digital supply chain, financial, logistics, and medical collections. Ensure data is clean, structured, and ready for analysis.
• Retrospective Analysis: Conduct thorough analyses to uncover patterns, trends, and insights that can inform strategic decisions. Use statistical methods and machine learning models to extract valuable information.
• Intelligent Document Query Systems: Design AI agents using enterprise LLMs like ChatGPT and Claude to facilitate efficient document search and retrieval. Implement natural language processing (NLP) techniques to understand and respond to complex queries.
• Automated Report Generation: Create systems that automatically compile and generate reports based on predefined criteria and real-time data analysis. Ensure these tools are user-friendly and customizable to meet various business needs.
• Cloud Integration: Explore opportunities to integrate AWS technologies for enhanced data processing, storage, and machine learning capabilities. Utilize AWS services like S3, Lambda, and SageMaker to streamline workflows and improve scalability.
• Engineering Support: Develop automated workflows to reduce manual tasks across the organization. Implement solutions that integrate seamlessly with existing systems and improve operational efficiency.
• Productivity Enhancement: Focus on creating tools and systems that help colleagues gain deeper insights from business content, including emails. Use AI to filter, categorize, and prioritize information effective

HOW TO APPLY?

Please submit your updated resume via email: and

Email Subject Format: Data Science and AI Engineer Applicant: Last Name, First Name

Job Type: Fixed term

Contract length: 12 months

Pay: Php60, Php80,000.00 per month

Benefits:

• Company events
• Work from home

Education:

• Bachelor's (Required)

Experience:

• Snowflake or similar SQL DB: 1 year (Required)
• Data Science: 1 year (Required)
• AI Engineer: 1 year (Required)
• Manipulating and Analyzing Data: 1 year (Required)
• Microsoft Power Automate and Copilot: 1 year (Required)
• Pharmaceutical: 1 year (Preferred)
• Python or R and R Shiny: 1 year (Required)
• GMP/GCP environment: 1 year (Preferred)

Willingness to travel:

• 75% (Required)

Work Location: In person

Are you a driven and talented college student looking for an internship role that can prepare you for the real world? If so, the Bank of the Philippine Islands (BPI) invites you to embark on an exciting internship journey with us

At BPI, we believe in the power of exceptional talent to drive innovation and shape the future of banking. As an intern, you will have the opportunity to gain invaluable hands-on experience, work alongside industry experts, and contribute to the growth of one of the country's leading financial institutions.

Kindly refer to the details below:

• Onsite internship at BPI Buendia Center Makati Head Office
• Can start by 2nd Week of September 2025
• Target End Date: October / November 2025
• Can render a
  minimum of 200 hours onsite
  with internship allowance and a certificate of completion
• We accept
  voluntary internships
• Must be majoring in Data Science, Computer Engineering, Statistics, Information Technology and similar backgrounds
• Has experience with R & Python as the primary programming language

Data Science Consultant

We are looking for a highly experienced and technically proficient
Data Science Consultant
to join our team in
Manila
. This role requires a minimum of
7 years of dedicated experience
in data science and will involve significant leadership and technical contributions.

As a key member of our data science team, you will leverage your
expert Python skills
and understanding of
machine learning
to derive critical business insights. You will not only be responsible for hands-on data analysis and model development but also for guiding team decisions and fostering cross-functional collaboration.

Core Responsibilities:

• Technical Leadership:
  Act as a subject matter expert (SME), guiding and mentoring a team of data scientists, making crucial technical decisions, and ensuring high performance.
• Strategic Problem Solving:
  Identify and deliver data-driven solutions to complex problems impacting multiple teams and business functions.
• Collaboration & Influence:
  Engage effectively with various cross-functional teams to contribute to and influence key strategic decisions.
• Advanced Data Analysis:
  Perform comprehensive
  data analysis and munging
  (cleaning, transformation, normalization) on large, complex datasets to extract meaningful patterns and insights.
• Create compelling
  data visualizations
  using tools such as Tableau or Power BI to communicate findings clearly.

What You Bring:

• Expert-level Python
  skills.
• Profound understanding and hands-on experience with
  statistical analysis and a wide range of machine learning algorithms
  (e.g., linear/logistic regression, decision trees, clustering).
• Proven ability to
  extract, clean, and prepare large datasets
  for analysis.
• Proficiency in
  data visualization tools
  like Tableau or Power BI.

What's in store for you?

• Competitive salary and comprehensive benefits package
• Performance Bonuses
• Continuous learning and professional development programs
• Work with international clients

• Collect, clean, and analyze large structured and unstructured datasets.
• Develop and deploy machine learning models to solve business challenges.
• Design and implement experiments to test hypotheses and measure outcomes.
• Build data pipelines and scalable solutions for data processing.
• Communicate insights and recommendations to technical and non-technical stakeholders.
• Collaborate with engineers, product managers, and business analysts to integrate data-driven solutions into products and processes.
• Stay updated on emerging tools, technologies, and best practices in data science.

At OnePuhunan (CreditAccess Philippines), we believe data is more than just numbers, it's the key to transforming lives and empowering communities. We're looking for a Data Science Officer who's passionate about using data, machine learning, and innovation to solve real-world challenges.

Why Join Us?

• Be part of a purpose-driven organization that impacts thousands of Filipino families

• Work on real business problems where your models and insights drive immediate results

• Collaborate with a dynamic and forward-thinking team that values innovation, agility, and growth

• Enjoy a culture that encourages continuous learning, creativity, and career development

What You'll Do

• Rapidly prototype, test, and deploy machine learning models that solve business challenges

• Clean, process, and optimize data for actionable insights and operational improvements

• Collaborate with stakeholders to design, refine, and validate models that deliver business impact

• Stay hands-on with SQL, Python, R, and other tools to ensure model accuracy and performance

• Build and scale advanced machine learning and artificial intelligence models to support business growth

• Develop interactive dashboards and data visualization tools for decision-making and performance tracking

• Design and implement AI solutions such as natural language processing, recommendation systems, and predictive analytics to enhance business operations

• Explore emerging AI technologies (e.g., generative AI, computer vision) and assess their application to financial inclusion

• Lead experimentation and model performance monitoring to ensure continuous improvement and reliability

What We're Looking For

• At least 5 years of experience in data science, machine learning, or advanced analytics

• Strong command of SQL, Python, and statistical modeling

• Background in Mathematics, Statistics, Economics, Computer Science, or related fields

• Analytical mindset, strong problem-solving skills, and the ability to communicate insights effectively

• A proactive team player who thrives in a fast-paced, impact-driven environment

Location

Head Office – Ortigas Center, Pasig City

Perks & Growth

• Work where data meets purpose, your contributions go beyond dashboards; they change lives

• Exposure to advanced analytics, big data tools, and innovation projects

• Opportunity to grow your career into leadership and product ownership roles

If you're ready to bring data to life and make an impact, apply now and be part of OnePuhunan's mission to empower communities through financial inclusion.

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description
Are you a data enthusiast with a passion for leading innovative projects and driving transformation in finance? Join our Finance AI task force as a Data Science Lead and spearhead our data analytics strategy. If you thrive on creating impactful solutions and mentoring a dynamic team, this role is for you

What You'll Do

• Lead and Innovate: Drive the development of RPA, analytical reports, and GPT workflows to support our Finance Division's RPA and AI initiatives.
• Collaborate: Work closely with Finance stakeholders to identify key questions and define impactful RPA and AI projects.
• Deliver Insights: Ensure the delivery of high-quality, actionable insights through rigorous RPA and AI data analysis.
• Mentor and Guide: Lead and mentor a team of data scientists, fostering a data-driven culture and promoting continuous learning in RPA and AI.
• Communicate Effectively: Present findings and recommendations related to RPA and AI to senior management and other stakeholders, making complex data understandable and actionable.
• Visual Storytelling: Utilize your storytelling and visualization skills to turn RPA and AI data insights into compelling narratives that drive business decisions.

What We're Looking For

• Educational Background: Bachelor's or Master's degree in Applied Mathematics, Data Science, Statistics, Computer Science, or a related field.
• Technical Expertise: Strong proficiency in Python and extensive experience in data visualization and storytelling, particularly with Looker Studio.
• Communication Skills: Excellent communication and presentation abilities, with the knack for translating complex data findings into clear, actionable business insights.
• Leadership Skills: Proven ability to lead, mentor, and inspire a team, fostering a culture of innovation and excellence.

Why You'll Love This Role

• Impactful Work: Lead projects that directly influence key business decisions and drive the success of our finance operations.
• Creative Freedom: Use your creativity to design innovative data solutions and compelling visualizations that make a real difference.
• Dynamic Team: Join a team of passionate, forward-thinking professionals who value collaboration and innovation.
• Career Growth: Enjoy continuous learning opportunities and professional development in the fast-evolving field of data analytics.
• Innovative Projects: Be part of exciting projects involving RPA and AI, pushing the boundaries of what's possible and shaping the future of finance automation.

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

Who We Are:

At Kayana, we're shaping the future of technology by unlocking opportunities and driving progress at an accelerated pace. We push boundaries, expand horizons, and build on our legacy—supported by some of the country's most esteemed conglomerates and powered by the synergies of the MVP Group.

Our mission is clear: to create abundant opportunities and pave the way for generational progress for Filipinos. Harnessing the power of data and technology, we are leading the charge in crafting a new world where individuals and businesses are seamlessly connected to a digital universe, enabling them to do more and be more.

We're turning the impossible into possible. Sa Káyana, kaya na.

Job Summary:

The Data Science Associate will design, develop, and deploy machine learning models, generate actionable insights, and integrate external datasets (e.g., PSA, DOH, DOE) to strengthen analytics capabilities. This role is central to advancing Kayana's MLOps practices, ensuring models are scalable, reliable, and ethically applied.

The role also involves exploring emerging technologies such as Generative AI and LLMOps, building prototypes, and contributing to innovation initiatives. The associate may also mentor interns under Kayana's academic partnership programs.

Key Responsibilities:

• Model Development & Deployment - Build, train, and deploy predictive and generative ML models into production. Monitor, retrain, and optimize models to ensure fairness, scalability, and performance.

• Analytics & Insights – Extract and communicate insights from internal, public, and third-party datasets to support decision-making and product development.

• Data Enrichment – Acquire, integrate, and validate external data sources to improve model accuracy and analytical depth.

• MLOps & Automation – Implement best practices for versioning, monitoring, and retraining models. Contribute to strengthening Kayana's MLOps ecosystem.

• Innovation & Research – Explore and evaluate emerging tools, frameworks, and techniques in AI/ML, Generative AI, and MLOps. Deliver prototypes and proof-of-concepts for testing and adoption.

• Collaboration & Mentorship – Work closely with data engineers, product managers, and domain experts to deliver scalable solutions. Mentor interns and junior associates to build future talent pipelines.

Qualifications:

• Proven experience in developing and deploying ML models (e.g., classification, regression, clustering, forecasting)

• Strong programming skills in Python, with expertise in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face.

• Familiarity with MLOps tools and practices (MLflow, Feast, CI/CD, model monitoring).

• Solid foundation in data engineering concepts, SQL, and cloud platforms (AWS, Databricks, Spark preferred).

• Experience integrating public or third-party datasets into analytical workflows.

• Understanding of ethical AI, model explainability, and bias detection.

• Strong analytical thinking, problem-solving, and communication skills.

Education:

• Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field. Master's degree or equivalent experience in data science, machine learning, or AI is an advantage.

Preferred Skills:

• Strong programming in Python, PySpark, and SQL, with hands-on expertise in Databricks.

• Proficiency with BI tools such as Power BI, Metabase, or Superset for visualization and reporting.

• Experience in data warehouse modeling and analytics engineering practices.

• Knowledge of data lake architectures for large-scale data management.

• Proficiency with ML frameworks such as scikit-learn, LightGBM, XGBoost, CatBoost, TensorFlow, PyTorch, Hugging Face.

• Exposure to Generative AI frameworks (LangChain, LlamaIndex, vector databases)

• Hands-on experience with MLOps practices and tools (MLflow, Feast, CI/CD pipelines, monitoring)

• Familiarity with DataOps/orchestration tools (Airflow, Prefect, Dagster)

• Understanding of Medallion architecture (Bronze/Silver/Gold layers) and Feature Stores.

• Strong data storytelling, dashboarding, and visualization capabilities.

• Understanding of cloud platforms, especially AWS (SageMaker, S3, Redshift), will be an advantage.

• Understanding of big data computing (Spark clusters, distributed systems) and GPU acceleration for deep learning and Generative AI.

Data Science Engineer – NLP & LLMs

Full Time | Remote Setup

Are you passionate about building cutting-edge AI solutions? Do you have a strong foundation in Natural Language Processing (NLP), large language models (LLMs), and production-ready machine learning systems? Join our dynamic team of innovators and contribute to real-world projects that leverage the power of AI at scale.

• Research, design, and implement advanced NLP algorithms and core ML concepts.
• Develop and deploy deep learning models using PyTorch, TensorFlow, or Keras.
• Conduct rigorous experiments to evaluate model performance, optimize accuracy, and improve system efficiency.
• Apply prompt engineering techniques using Hugging Face and other state-of-the-art tools.
• Build and maintain scalable ML services using FastAPI and Kubernetes.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for LLM-based applications.

• Strong programming skills in Python.
• Solid experience with PyTorch, TensorFlow, and hands-on model tuning.
• Deep understanding of NLP fundamentals: text preprocessing, feature engineering, tokenization, and information retrieval.
• Working knowledge of LangChain, orchestration layers, and vector databases.
• Experience building pipelines with both locally hosted and externally hosted Large Language Models (LLMs).
• Proficient in scaling ML applications to production environments using containerized services.
• Familiarity with Computer Vision techniques and Frame-Per-Second (FPS) optimization is a plus.

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• Experience with MLOps practices and versioning tools.
• Demonstrated success in delivering high-performing ML solutions in real-world use cases.

• Be part of a high-impact AI team working on state-of-the-art LLMs and NLP systems.
• Collaborate with passionate experts in machine learning, software engineering, and product innovation.
• Work in a fast-paced, agile environment that supports growth and experimentation.
• Enjoy a culture that values curiosity, technical excellence, and continuous learning.