47 Data Interpretation jobs in the Philippines

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

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.

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.

Responsibilities:

• Research, design, and implement NLP algorithms and core concepts.
• Utilize PyTorch/TensorFlow/Keras frameworks for model development and deployment.
• Conduct experiments, evaluate model performance, and iterate on algorithms to improve accuracy and efficiency.

Qualifications:

• Proven experience in prompt engineering, utilizing Hugging Face models.
• Strong programming skills in Python and proficiency in PyTorch and TensorFlow frameworks.
• Solid understanding of NLP core concepts, including text preprocessing, feature engineering, and information retrieval.
• Working experience with FASTAPI and Kubernetes for scaling ML in production.
• Knowledgeable about Computer Vision techniques, FPS.
• Proficiency in building pipelines using externally hosted and locally hosted Large Language Models (LLMs).

Other details:

• mid shift work schedule

Job Types: Full-time, Permanent

Pay: Php100, Php150,000.00 per month

Work Location: On the road

ROLES AND RESPONSIBILITIES:

• Able to collect, extract, and wrangle data that is used to perform analytic modelling.
• Develop custom data models and algorithm applied to different data sets based on business requirements
• Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
• Develop testing framework and test model quality.
• Coordinate with various business units to implement models or process and tools.
• Develop governance and framework to establish analytics practice across the organization

GENERAL QUALIFICATIONS:

• Innovative, proactive, creative, well-organized and able to easily adapt to various technologies
• Strong analytical skills and logical reasoning; attention to details; Process-oriented
• Great interpersonal skills and excellent oral and written communication skills. Can present complex information in a clear and compelling manner
• Comfortable in very fast-paced environment and transforming organization
• Willingness and desire to learn new environment and tools and advance your knowledge. Keeps up to data with new research and integrated applications in the area of data science.
• Willingness to train and educate resources on data science topics

TECHNICAL QUALIFICATIONS:

• Bachelor's Degree in Statistics, Mathematics, Data Science, Computer Science or an equivalent course with 3 years + experience in data/computational focus.
• Experience using programming languages such as Python, SQL
• Experience using visualization tools such as Tableau, PowerBI.
• Strong knowledge on advanced statistical methods, predictive and prescriptive methods. Preferably with expertise in deep learning, recommender systems, and NLP/Computational Linguistics
• Background in handling big data. Strong track record of manipulating, processing, and extracting data from large databases.

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.

About the Role

Able to apply different data science techniques such as deep learning, machine learning, reinforcement learning, natural language processing and other approach on different business requirements from various business units.

ROLES AND RESPONSIBILITIES:

• Able to collect, extract, and wrangle data that is used to perform analytic modelling.
• Develop custom data models and algorithm applied to different data sets based on business requirements
• Develop processes and tools to monitor, assess, and analyze algorithm, model performance, and data accuracy
• Develop testing framework and test model quality.
• Coordinate with various business units to implement models or process and tools.
• Develop governance and framework to establish analytics practice across the organization

GENERAL QUALIFICATIONS:

• Innovative, proactive, creative, well-organized and able to easily adapt to various technologies
• Strong analytical skills and logical reasoning; attention to details; Process-oriented
• Great interpersonal skills and excellent oral and written communication skills. Can present complex information in a clear and compelling manner
• Comfortable in very fast-paced environment and transforming organization
• Willingness and desire to learn new environment and tools and advance your knowledge. Keeps up to data with new research and integrated applications in the area of data science.
• Willingness to train and educate resources on data science topics

TECHNICAL QUALIFICATIONS:

• Bachelor's Degree in Statistics, Mathematics, Data Science, Computer Science or an equivalent course with 3 years + experience in data/computational focus.
• Experience using programming languages such as Python, SQL
• Experience using visualization tools such as Tableau, PowerBI.
• Strong knowledge on advanced statistical methods, predictive and prescriptive methods. Preferably with expertise in deep learning, recommender systems, and NLP/Computational Linguistics
• Background in handling big data. Strong track record of manipulating, processing, and extracting data from large databases.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

This is Direct hire - Permanent role to our client -

The salary range on this post is NOT the actual Budget of our client. Salary offer depends on your skills and experience and for approval of our client's management. They may still negotiate you.

Specific position: Data science Engineer

• Graduate of Bachelor's Degree
• ·Amenable to work on a Hybrid Set-up in Ortigas, Pasig / Antipolo, Rizal (We are still verifying the details)
• Willing to work on MIDSHIFT & Nightshift schedule (Specific details will be discussed by our client)
• At least 3 years of relevant working experience in Data Science engineering
• Knowledgeable about Computer Vision techniques, FPS.
• Proficiency in building pipelines using externally hosted and locally hosted Large Language Models (LLMs).
• Implement NLP algorithms and core concepts
• Experience in Python and proficiency in PyTorch and TensorFlow and Keras frameworks
• Comprehensive experience and detailed knowledge in implementing, enhancing, and evaluating RAG implementations/pipelines.
  •
• Familiarity with orchestration layers such as LangChain for efficient use of LLMs.
• Familiarity with vector database concept and use case
• _ No Attendance issues from previous employment
• Can start ASAP

Job Types: Full-time, Permanent

Pay: Php80, Php137,000.00 per month

Application Question(s):

• Are you willing to work on a Hybrid set-up in Antipolo, Rizal or Ortigas, Pasig? We are still checking the office location for this role.
• Are you willing to work on a MidShift schedule?
• How many years of total working experience do you have in BPO/International Companies and supporting international clients?
• How many years of total working experience do you have in Data Science engineering?
• How many years of total working experience do you have in Large Language Models (LLMs)?
• How many years of total working experience do you have in Python?
• SPECIFY if you have hands-on WORKING experience with the following: in PyTorch, TensorFlow, Keras frameworks
• How many years of total working experience do you have in Implementing NLP algorithms and core concepts?
• Do you have hands-on experience in implementing, enhancing, and evaluating RAG implementations/pipelines?
• Do you have hands-on experience in Computer Vision techniques, FPS?
• SPECIFY if you have hands-on WORKING experience in the following: LangChain, vector database concept and use case
• How much is your expected Salary? Php- basic pay/Month
• How soon can you start once hired?

Education:

• Bachelor's (Preferred)

Work Location: In person

The Data Science Manager (Supply Chain) leads the development of advanced analytics and machine learning solutions to enhance supply chain operations, including forecasting, inventory, logistics, and production planning. This role requires strong technical and leadership skills, with a preference for experience in food manufacturing and distribution.

• Defines and executes the data science roadmap for supply chain transformation, partnering with senior leaders across planning, procurement, and operations to identify high-impact analytics initiatives.
• Leads the development of predictive and prescriptive tools to enhance efficiency, service levels, and cost savings, while driving continuous improvement within the data analytics function.
• Leads and mentors a team of data scientists and analysts focused on supply chain initiatives, managing projects from problem definition to model deployment.
• Ensures timely and scalable integration of analytics models with existing planning systems such as SAP, Anaplan, and Snowflake.
• Oversees the development of machine learning models for forecasting, inventory optimization, supply planning, network modeling, and anomaly detection using advanced algorithms like time series, reinforcement learning, and optimization techniques.
• Ensures model accuracy, scalability, and sustainability through robust monitoring and continuous improvement practices.
• Collaborates with Business Technology, Data Engineering, and Planning/Logistics teams to ensure seamless data access and model deployment.
• Drives adoption of data science solutions by communicating business value clearly and promoting a culture of data-driven decision-making within the supply chain organization.

JOB QUALIFICATIONS:

• A graduate of Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field; Master's degree in Data Science is preferred.
• Minimum of two (2) years of experience in data science, with at least one (1) year in a managerial or leadership role.
• Experience in the food manufacturing or logistics/distribution industry is highly desirable.
• Proficiency in data analysis tools and software such as SQL, Python, R, Tableau, Power BI.
• Solid understanding of statistical analysis, data mining, and machine learning techniques.
• Excellent analytical, problem-solving, communication skills, critical-thinking skills, and presentation skills.
• Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.
• Experience with ERP and supply chain management systems is a plus.
• Willing to work on a hybrid setup in Pasig or Laguna.

Zenith Foods Corporation, the hiring entity, is a wholly owned subsidiary of Jollibee Foods Corporation.