5 Predictive Analytics jobs in the Philippines
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
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
Software Engineer (AI/Machine Learning)
Posted 18 days ago
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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!
Risk and Data Science Officer
Posted 12 days ago
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Job Description
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
Risk and Data Science Manager
Posted 12 days ago
Job Viewed
Job Description
₱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
AI & Data Science Sr. Manager
Posted 18 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.
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