74 Data Mining jobs in the Philippines

About Deployed

Deployed is an established BPO firm specialising in workforce solutions. We partner with a range of globally minded businesses, from start-ups to large corporations across a range of industries.

Our expert team of recruiters at Deployed will work closely with you to create a career change that challenges, motivates, and excites you. We take the time to understand your ambitions to ensure an effective job match and place you in a business where you'll perform your best. You'll be supported at every step to ensure success- from job searching and placement to a robust onboarding process to ongoing HR, office, and IT support. Deployed is committed to offering you holistic support at every step to ensure you succeed, have the best work experience and a rewarding career.

Tasks and Responsibilities

The Data Mining Specialist is a dynamic role working in a high-performance team environment.

• Focused on searching Google, industry lists, trade groups, industry publications and non-active customers, to provide contact details for the lead generation specialists in Manila.
• Proactive development of new customers and strategic expansion of our brands to maximise market share.
• Utilising the latest in technologies to mine company and contact details for potential users company services

Skills and Qualifications

• Up to 2 years experience is a data mining role, specialising in extracting customer contact data across multiple industry segments
• Proven experience in high performance selling teams / call centers
• Ability to work in a dynamic and changeable environment effectively, with minimal supervision
• Ability to work effectively in a busy and high-pressure team environment
• Demonstrated commitment to quality; ability to prioritise work and meet deadlines and self-motivation

Why you should join our team

Leaves entitlement, HMO and life insurance upon hire

Ready to take on the next challenge? If you're looking for an organisation with outstanding career-development opportunities, amazing work-life culture, and comprehensive benefits crafted to support work-life harmony, you might be a perfect fit at Deployed At Deployed, we truly believe that our team is the core highlight of our brand. With our goal of being a top business partner for our global clients, we take it as a responsibility to build a diverse, inclusive, and growth-oriented work environment where employees of all backgrounds and lifestyles feel a sense of belonging, mutual respect, and kindness.

Job Type: Full-time

Benefits:

• Health insurance
• Life insurance
• Opportunities for promotion
• Promotion to permanent employee

Ability to commute/relocate:

• Ortigas: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

• How much will be your expected salary?

Experience:

• data mining: 2 years (Preferred)
• extracting customer contact data: 2 years (Preferred)

Work Location: In person

About the role

As a Data Mining/Lead Generation Specialist at Eastvantage Business Solutions Inc., you will play a crucial role in driving the company's growth and market expansion. In this full-time position based in Ortigas Pasig City Metro Manila, you will be responsible for leveraging data-driven insights to identify and nurture new business opportunities.

What you'll be doing

1. Conduct comprehensive market research and data analysis to uncover emerging trends, customer preferences, and potential market gaps
2. Develop and implement effective lead generation strategies to expand the company's customer base
3. Utilize advanced data mining techniques to identify and profile high-value prospects
4. Collaborate with the sales team to qualify and nurture leads, ensuring a smooth handoff to the closing process
5. Monitor and analyse key performance metrics to continuously refine and optimise the lead generation process
6. Stay abreast of industry developments and best practices in data mining and lead generation
7. Contribute to the development of the company's marketing and sales strategies

What we're looking for

1. Bachelor's degree in Marketing, Business, Data Science, or a related field
2. Minimum of 3 years of experience in data mining, lead generation, or market research
3. Proficient in data analysis tools and techniques, including SQL, Excel, and data visualisation software
4. Strong problem-solving and critical thinking skills, with the ability to translate data into actionable insights
5. Excellent communication and stakeholder management skills
6. Familiarity with the latest digital marketing and lead generation best practices
7. Ability to work independently and as part of a collaborative team

What we offer

At Eastvantage Business Solutions Inc., we are committed to providing our employees with a supportive and rewarding work environment. In addition to a competitive salary, we offer a range of benefits, including:

1. Comprehensive health insurance coverage
2. Opportunities for career advancement and professional development

If you're excited to join a dynamic and innovative team, we encourage you to apply for this role. Apply now and let's discuss how you can contribute to the growth and success of Eastvantage Business Solutions Inc.

• 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.

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.