Advanced Analytics Analyst

Data Science Officer

Pasig City, National Capital Region ₱ - ₱ Y CreditAccess Philippines Financing Company, Inc

Posted today

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

• 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.

Posted today

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.

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 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.

Posted today

Data Science Engineer – NLP & LLMs

• 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.

Your Expertise :

• 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 FPS optimization is a plus.

Preferred Qualifications :

• 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.

Why Join Us? :

• 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.

Note: The original content contained nested and repeated sections; this refined version presents the same postings in a consistent, accessible format using only the allowed HTML tags.