166 Senior Scientist jobs in the Philippines

Department
Confectionery

Employee Type
Probationary

Scientist (Product Development - Confectionery)

Grow Beyond UR Job with URC Create UR journey in a workplace where your growth goes beyond UR job. Thrive in an environment filled with fun, collaboration, and fulfillment as we delight everyone with good food choices.

Universal Robina Corporation is looking for a Scientist (Product Development - Confectionery)

The Scientist will work on materials and/or processes to create pipelines of consumer centric products and platform projects. He or she will work on new scientific technologies and advancements to find solution/scientific evidence to emerging trends and support sustainability projects. The Product Development Scientist for Snacks Category will focus on building a bank of product signatures and winning solutions by using his/her knowledge and expertise on Snacks Category. He or she is also tasked to support the commercialization of first-of-a-type technology in countries.

What are the Roles and Responsibilities?

• Create a strong scientific platform for the creation of new products leveraging consumer immersions, Kano analysis, DOE, Systat etc.
• Creates hypothesis based on consumer information and creates trial plans for testing. Conducts laboratory and/or plant trials to come-up with a prototype sample with the target product design or application. Validates the hypothesis using a range of techniques including physical/chemical/sensorial tests. Uses the appropriate testing panels - e.g internal panel for QDA, or a consumer panel, and uses the appropriate qualitative/quantitative testing approach.
• Identify and approve new ingredients to support innovation projects. Shortlists raw materials and/or flavors and/or flavour keys for innovation projects and is responsible for making these choices.
• Works with Commercialization teams, Suppliers, Regional R&D, and/or Marketing, on consumer-focused and related product opportunities
• Generates and maintains project records and monthly status summary.
• Holds primary responsibility for technology transfer and documentations.
• Conducts trainings and cascades on innovations and new technologies.

What are the Qualifications?

• Candidate must possess a Bachelor's Degree in BS Food Technology, BS Food Science, BS Chemistry, BS Chemical Engineering, or other related courses.
• Experience in handling snacks category/division manufacturing industry
• At least 3- 5 years' experience, preferably in the FMCG industry with technical depth and knowledge in processes and ingredients involved in their respective category.
• Must have good knowledge on food processes (Food Science, Process Engineering) and has good attention to detail.
• Possesses good analytical, interpersonal and problem-solving skills with proficient computer and reporting skills.
• Overall good project management skills
• Must be curious, creative and always thinking of better ways to innovate products.

Apply with us today and join us in delighting our employees, customers, consumers, and communities with good food choices

NOTE: Universal Robina Corporation does not collect fees throughout our recruitment process and does not collaborate with any travel agency or third party to provide accommodation or other services to job applicants. All URC recruitment processes happen in our respective offices or plants. Recruitment processes are only carried out by our Talent Acquisition teams with an official corporate email address.

Experience Range Range (Years)
0 - 0 years

Job posted on

3F Global Innovations Center, Pasig, National Capital Region, Philippines

Department

Confectionery

Job posted on

Oct 15, 2025

Employment type

Probationary

Scientist (Product Development - Confectionery)

Grow Beyond UR Job with URC Create UR journey in a workplace where your growth goes beyond UR job. Thrive in an environment filled with fun, collaboration, and fulfillment as we delight everyone with good food choices.

Universal Robina Corporation is looking for a Scientist (Product Development - Confectionery)

The Scientist will work on materials and/or processes to create pipelines of consumer centric products and platform projects. He or she will work on new scientific technologies and advancements to find solution/scientific evidence to emerging trends and support sustainability projects. The Product Development Scientist for Snacks Category will focus on building a bank of product signatures and winning solutions by using his/her knowledge and expertise on Snacks Category. He or she is also tasked to support the commercialization of first-of-a-type technology in countries.

What are the Roles and Responsibilities?

• Create a strong scientific platform for the creation of new products leveraging consumer immersions, Kano analysis, DOE, Systat etc.
• Creates hypothesis based on consumer information and creates trial plans for testing. Conducts laboratory and/or plant trials to come-up with a prototype sample with the target product design or application. Validates the hypothesis using a range of techniques including physical/chemical/sensorial tests. Uses the appropriate testing panels - e.g internal panel for QDA, or a consumer panel, and uses the appropriate qualitative/quantitative testing approach.
• Identify and approve new ingredients to support innovation projects. Shortlists raw materials and/or flavors and/or flavour keys for innovation projects and is responsible for making these choices.
• Works with Commercialization teams, Suppliers, Regional R&D, and/or Marketing, on consumer-focused and related product opportunities
• Generates and maintains project records and monthly status summary.
• Holds primary responsibility for technology transfer and documentations.
• Conducts trainings and cascades on innovations and new technologies.

What are the Qualifications?

• Candidate must possess a Bachelor's Degree in BS Food Technology, BS Food Science, BS Chemistry, BS Chemical Engineering, or other related courses.
• Experience in handling snacks category/division manufacturing industry
• At least 3- 5 years' experience, preferably in the FMCG industry with technical depth and knowledge in processes and ingredients involved in their respective category.
• Must have good knowledge on food processes (Food Science, Process Engineering) and has good attention to detail.
• Possesses good analytical, interpersonal and problem-solving skills with proficient computer and reporting skills.
• Overall good project management skills
• Must be curious, creative and always thinking of better ways to innovate products.

Apply with us today and join us in delighting our employees, customers, consumers, and communities with good food choices

NOTE: Universal Robina Corporation does not collect fees throughout our recruitment process and does not collaborate with any travel agency or third party to provide accommodation or other services to job applicants. All URC recruitment processes happen in our respective offices or plants. Recruitment processes are only carried out by our Talent Acquisition teams with an official corporate email address.

The Data Scientist plays a crucial role in advancing RAFI Microfinance's data-driven decision-making culture. This role is responsible for designing, prototyping, testing, and implementing advanced analytics solutions that support organizational strategies and business needs. The Data Scientist extracts, integrates, and explores data from multiple sources, applies statistical and machine learning methods, and develops predictive and prescriptive models to uncover business value.

Beyond technical execution, the role requires the ability to communicate insights effectively, influence stakeholders, and ensure solutions are scalable and aligned with compliance standards. The Data Scientist contributes to innovation, efficiency, and competitiveness by enabling the organization to harness data responsibly and strategically.

• Data Management

• Collect, clean, and preprocess data to ensure quality, integrity, and consistency.

• Build and maintain automated data pipelines for continuous data availability.

• Analytics & Modeling

• Design, develop, and test machine learning models and statistical analyses to address business problems.

• Evaluate, validate, and optimize model performance for accuracy, reliability, and scalability.

• Collaboration & Stakeholder Engagement

• Partner with IT, business units, and product owners to translate business requirements into data-driven solutions.

• Communicate insights, trends, and recommendations through compelling visualizations, reports, and presentations.

• Innovation & Knowledge Sharing

• Stay updated on emerging technologies, data science trends, and AI advancements.

• Support the development of organizational data science standards, documentation, and practices.
• Contribute to building a culture of data literacy and responsible data use across the organization.

• Governance & Compliance

• Ensure adherence to data privacy, security, and governance frameworks.

• Support risk management by applying best practices in data handling and compliance.

• Technical Expertise

• Proficiency in programming: Python, R, SQL

• Advanced proficiency in Python and SQL, intermediate proficiency in R
• Knowledge in machine learning (e.g., TensorFlow) and statistical analysis
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with data visualization tools: Power BI, Tableau, Looker
• Familiarity with cloud platforms (Azure, AWS) and big data technologies (Hadoop, Spark)
• Strong foundation in data governance and data privacy standards

• Soft Skills

• Excellent communication and stakeholder management skills

• Analytical mindset with strong problem-solving abilities
• Strong organizational and time management skills
• Ability to explain complex technical concepts to non-technical audiences

• Education/Background

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field

• Experience in applied data science roles within business or financial services preferred
• Experience in financial services, banking, or microfinance sector highly preferred but not essential
• Minimum 3-5 years of experience in applied data science or analytics roles
• Must be legally authorised to work in the Philippines without sponsorship

Technical

• Data wrangling and data quality assurance
• Advanced statistical methods (hypothesis testing, regression, time series, A/B testing)
• Model development, deployment, and evaluation
• Dashboard design and storytelling with data
• Cloud computing (Azure, AWS exposure)
• Automation and workflow scripting
• Version control and collaboration (e.g., Git)

Human Relations

• Strong leadership and mentoring skills
• Effective communicator and collaborator across teams
• Ability to manage stakeholder expectations

Personal Attributes

• God-centered and values-driven
• Confident, adaptable, and resilient
• Passionate about data and innovation
• Mature and grounded in decision-making

Requirements:

• Must be a licensed Industrial Pharmacist/Pharmacist
• Must have at least 1 year practical experience in the research and development of pharmaceutical products
• Must be knowledgeable in pharmaceutical products formulation and process development
• Must have thorough understanding of GXP (Good Manufacturing, Laboratory, Distribution Practices) requirements
• Must be knowledgeable on FDA registration guidelines and regulations

Job Type: Full-time

Work Location: In person

The Data Scientist will play a key role in ensuring our data foundations are reliable, then focus on developing analytics solutions and creating impactful visualizations that turn data into actionable insights for business teams.

Key Responsibilities:

• Support the completion and optimization of existing ETL data pipelines and cloud storage (AWS S3)
• Ensure data accuracy, integrity, and availability for analytics use
• Build and enhance dashboards, reports, and visualizations that effectively communicate insights
• Partner with stakeholders to identify opportunities for data-driven improvements
• Translate complex datasets into clear, actionable business intelligence

Job Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Information Technology, Industrial Engineering, or a related field
• 1–3 years of experience in data engineering and/or analytics
• Advanced proficiency in Python and SQL (must-have)
• Strong experience with data visualization tools (e.g., Power BI, Excel)
• Knowledge of cloud platforms (e.g., Snowflake, AWS)
• Familiarity with ETL/ELT tools (Matillion or similar)
• Strong analytical skills, attention to detail, and ability to tell a story with data
• Ability to work independently while collaborating effectively with cross-functional teams.
• Willing to work in Ortigas, Pasig (Hybrid Work Setup).

Jollibee Worldwide Pte. Ltd., the hiring entity, is a wholly owned subsidiary of Jollibee Foods Corporation.

Company Introduction
ADVANCE.AI is a leading AI company that provides digital transformation, fraud prevention, and process automation solutions for enterprise clients. ADVANCE.AI currently partners over 500 enterprise clients across banking, financial services, fintech, payment, retail and e-commerce sectors. Headquartered in Singapore, ADVANCE.AI has a global footprint across 9 markets in 3 continents.

ADVANCE.AI is part of Advance Intelligence Group, an AI-driven technology company that consists of an ecosystem of AI-powered, credit-enabled products and services that includes consumer financing, digital identity verification and risk management as well as enterprise resource planning software. Founded in 2016, the Group has presence across South and Southeast Asia, Latin America and Greater China. The Group is backed by top tier investors SoftBank Vision Fund 2, Warburg Pincus, Northstar,Vision Plus Capital, Gaorong Capital, Pavilion Capital, GSR Ventures and Singapore-based global investor EDBI.

ADVANCE.AI was named ASEAN Fintech winner at the 2023 Singapore Fintech Festival Global Fintech Awards for its risk management technology.

Advance Intelligence Group employees are united by a shared vision and purpose: to
Advance with Intelligence for a Better Life--for our customers, colleagues and communities.
Our culture is built on values that are core to who we are and what we stand for:

• We foster an INNOVATION mindset
• We achieve results with EFFICIENCY and excellence
• We take pride in the QUALITY of our work
• We uphold INTEGRITY in all we do
• We embrace COLLABORATION to work across business lines and borders

You Will

• Work on risk model development for retail and SME finance products such as consumer lending, multi-finance, credit-card, SME and so on.
• Analyze and conduct feature engineering for massive data such as credit-report, e-commerce, and deploy the feature pipeline
• Evaluate third-party data to decide whether to use for the credit modeling.
• Research model methodology and data mining techniques to improve model performance.
• Continuous explore the value of data for credit modeling and data product.

What You Need To Succeed

• 3-6 years relevant experience in developing risk model and good understanding of credit risk management
• Good understanding and hands on experience of ML models such as boosting trees, regression models
• Good coding skills using SQL and Python
• Experience in data analysis and feature engineering
• Excellent English, be able to communicate in English fluently.

Role Overview

Ideally the successful candidate will have practical experience working on data-driven applications in a collaborative environment. You will be responsible for building scalable data apps in Python with a strong focus on code quality and following OOP design patterns. Our group has a start-up / entrepreneurial approach with an open mind to the most suitable tools, following best practices and with scope to explore. Our tech stack includes Python, Snowflake, Jupyter, Gitlab, Docker, Airflow and AWS. We work closely with the data engineering team to deliver high quality apps across the business.

Role Responsibilities

• Build python apps to query, analyze and combine financial datasets using a variety of computational techniques
• Build dashboards to monitor and visualize application data
• Support and further development of existing applications
• Build quality control tools to ensure data quality across products

Experience / Competences

Essential

• Master's or PhD in data science/mathematics/engineering or a related field.
• Demonstrate experience in a Python Developer role
• Knowledge of SQL
• Experience working with large, complex data sets
• Demonstratable problem solving skills
• Experience with airflow, snowflake, docker, CI/CD

Desired

• Practical hands-on industry experiences working in a numerical/computational role
• Works well with data engineering, product and sales teams in cross team collaborations
• Experience with AWS/Azure/GCP cloud technologies
• Experience with GenAI/machine learning

Special Requirements

• Working to a US/UK time zone
• Working to hybrid work set up - 3x/week onsite
• Work during holidays and occasional overtime

We are seeking a highly analytical and creative Data Scientist to join our IT tech team to specialize in predictive modelling and insight generation. This role will focus on developing and refining models to come up with actionable insights that enhance user experience and support the development and management of business systems for the real estate arm of the Filinvest Group.

Responsibilities

• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production

• Generate actionable insights for business improvements

• Design, build, and validate predictive models using linear and neural regression techniques.

• Analyze large datasets to extract patterns and trends to inform business decisions.
• Collaborate with UX designers, product managers, and engineers to translate data insights into improved user experiences.
• Support the development of business systems including sales and marketing portals, project monitoring tools, and ERP platforms.
• Develop and maintain data pipelines and model deployment workflows.
• Communicate findings clearly through visualizations, dashboards, and presentations.
• Continuously monitor model performance and iterate based on feedback and new data.
• Stay up-to-date with the latest developments in machine learning, data science, and user behavior analytics.

Qualifications

• Bachelor's and/or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• At least 3 - 5 years of experience in quantitative analytics and/or data modeling
• Proven experience with regression modelling, including both linear and neural network approaches.
• Deep understanding of predictive modeling, machine-learning principles, clustering and classification techniques, and algorithms
• Familiarity with Big Data frameworks and visualization tools
• Experience working with UX teams or applying data science to improve user experience is a plus.
• Excellent communication and storytelling skills using data.

Preferred Skills

• Familiarity with A/B testing and experimentation frameworks.
• Experience with cloud platforms (AWS, GCP, Azure) and data tools (SQL, Spark, etc.)

Requirements
Description and Requirements
Qualifications & Requirements:

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in a client-facing role, translating customer needs and project requirements.
• Experience effectively communicating feedback on guidelines & UX design to customer stakeholders.
• Strong understanding of coding languages (HTML, CSS, JSON, Javascript, Python…).
• Experience in AI Models processes and improvement methods.
• Experience in user-centered design principles is preferred but not essential.

Additional Job Description

• Data gathering, analysis, and interpretation
• Knowledgeable in visual and user-centered design principles
• AI Data model knowledge is good to have

EEO Statement

At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.