11 Data Scientist jobs in the Philippines

The **Data Scientist** will collaborate with various teams to deliver data-driven insights and scalable solutions that align with business objectives, while identifying opportunities for data solutions and building business cases to demonstrate their value and ROI. Additionally, research and develop ML and GenAI solutions to enhance automation, evaluate emerging technologies to improve workflows, and support change management during transitions.
**Position Responsibilities:**
+ Collaborate with multiple teams to provide data-driven insights, develop scalable data solutions, and support business objectives
+ Identify opportunities for data driven solutions, assess feasibility, and build business cases to demonstrate value and ROI
+ Research, prototype, and develop ML and GenAI powered solutions to enhance automation and decision-making processes
+ Evaluate and introduce emerging technologies, best practices, and tools to improve the team's capabilities and workflows
+ Provide support and facilitate change management during periods of transition.
**Required Qualifications:**
+ Degree in Statistics, Math, Computer Science, Engineering, or other courses with equivalent technical experience
+ Minimum of 5 years of applicable experience with advanced knowledge of programming languages and concepts (R, Python, Pyspark)
+ Experience developing frontends and APIs are a plus (Javascript, C, etc.)
+ Experience in designing and developing AI, NLP, and LLM powered solutions
+ Experience working and developing solutions on the cloud (Azure, AWS, GCP) is a plus
+ Strong knowledge of machine learning and AI algorithms
+ Strong communication skills; Able to simplify complex concepts to a broad audience
+ Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)
+ Ability to manage multiple concurrent projects
+ Knowledge in statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques
+ Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Modalidades de Trabajo**
Híbrido

The **Data Scientist** will collaborate with various teams to deliver data-driven insights and scalable solutions that align with business objectives, while identifying opportunities for data solutions and building business cases to demonstrate their value and ROI. Additionally, research and develop ML and GenAI solutions to enhance automation, evaluate emerging technologies to improve workflows, and support change management during transitions.
**Position Responsibilities:**
+ Collaborate with multiple teams to provide data-driven insights, develop scalable data solutions, and support business objectives
+ Identify opportunities for data driven solutions, assess feasibility, and build business cases to demonstrate value and ROI
+ Research, prototype, and develop ML and GenAI powered solutions to enhance automation and decision-making processes
+ Evaluate and introduce emerging technologies, best practices, and tools to improve the team's capabilities and workflows
+ Provide support and facilitate change management during periods of transition.
**Required Qualifications:**
+ Degree in Statistics, Math, Computer Science, Engineering, or other courses with equivalent technical experience
+ Minimum of 5 years of applicable experience with advanced knowledge of programming languages and concepts (R, Python, Pyspark)
+ Experience developing frontends and APIs are a plus (Javascript, C, etc.)
+ Experience in designing and developing AI, NLP, and LLM powered solutions
+ Experience working and developing solutions on the cloud (Azure, AWS, GCP) is a plus
+ Strong knowledge of machine learning and AI algorithms
+ Strong communication skills; Able to simplify complex concepts to a broad audience
+ Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)
+ Ability to manage multiple concurrent projects
+ Knowledge in statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques
+ Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Modalidades de Trabajo**
Híbrido

Data Scientist
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
**Job Overview**
TE offers an exciting opportunity to solve key business challenges through leading-edge data analytics. As our new **Data Scientist** , you will help specify, design, and develop applications that connect our business partners to our solutions that ease decision-making. You will support our advanced analytics projects by:
1) Collaborating with business partners to discuss business challenges, define requirements, and design analytics solutions
2) Implementing analytics applications in Python with a focus on user experience and scalability and
3) Performing usability testing. We will form a unique and dynamic department working with innovative technologies in a modern and visionary organization. As a data scientist, you know how to interpret data in a smart way and develop solutions that bring value to the customer, you enjoy diving into data, and you know how to present findings to serve customer needs.
**RESPONSIBILITIES:**
+ Collecting and analyzing large sets of data from various sources, cleaning and transforming it, and then analyzing it to identify trends, patterns, and insights.
+ Use statistical and machine learning techniques to build predictive models that can be used to forecast future outcomes or make informed decisions.
+ Communicate findings to stakeholders in a clear and concise manner. This may involve creating reports, visualizations, or presentations.
+ Work closely with other teams within the organization, such as marketing, product development, or operations, to identify opportunities to leverage data and improve business outcomes.
+ Stay up to date with industry trends in data science, machine learning, and artificial intelligence to ensure they are using the most effective techniques and tools.
+ Ensure that the data they work with is secure and private, adhering to legal and ethical guidelines regarding the collection and use of data.
**What your background should look like:**
+ Bachelor's degree (engineering, computer science or equivalent), Masters and/or doctorate is a plus
+ Proficient in analyzing large and complex datasets.
+ Must have experience with machine learning techniques such as regression, classification, clustering, and natural language processing
+ Proficient in programming languages such as Python, R, and SQL. Knowledge of big data technologies such as Hadoop and Spark can be useful.
+ Excellent communication skills
+ Must be curious and creative in exploring data and discovering insights that may not be immediately obvious
+ Should be able to think critically and evaluate the validity of data and models
**Competencies**
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
Location:
Alabang, 00, PH, 1226
City: Alabang
State: 00
Country/Region: PH
Travel: None
Requisition ID: 128522
Alternative Locations:
Function: Information Technology
TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.

**Grade**: Associate (Depends on experience and technical expertise)

**Salary**: DOE

**Experience Level**: Minimum 5 years of IT Experience.
- 4+ years of experience in writing well-structured SQL & Python code to derive business insights.
- Experience in developing, designing and deploying Advanced Analytical solutions.
- Good understanding of RDBMS, BigData concepts and unstructured data, and exposure to multiple data platforms to fetch and analyse data ( strong SQL querying skills).
- Experience in working with various stakeholders who are placed in multiple global locations to provide Insights and to seek support.
- Translate complex data / analysis into an easily understandable format.

**Key Responsibilities**:

- Writing SQL & Python code to derive business insights
- Developing, designing and deploying Advanced Analytical solutions.
- Build Dashboards
- Translate complex data / analysis into an easily understandable format.
- Answer business questions with data/insights/dashboards based on the requirements

DTN is a global leader providing insights and analytics to our customers to feed, fuel, and protect the world. We help people make critical business decisions that impact the agriculture, oil and gas, trading, and weather industries.

It’s a difference you’ve likely felt without even knowing it. From the food on your plate to the gas in your car to the last flight you took, chances are a DTN customer made it possible. And that’s just for starters. That’s why we say, “When our customers prosper, we all win.”

**Job Description**:
Data Science at DTN is looking to expand our presence in Manila. We are looking to add a talented and motivated data scientist to the existing team. Reporting to the principal data scientist in Manila, this person will use our proprietary datasets to solve interesting and challenging problems for our customers.

As part of the team you will:

- Gain experience in all areas of data science
- Tackle a wide variety of problems in weather, agriculture, and energy
- Explore our unique, proprietary datasets to find solutions to meaningful problems
- Work in a relaxed environment with great coworkers

**Responsibilities**:

- Quick feasibility checks
- Data exploration and feature engineering
- Data cleaning
- Model development
- Generating interactive visualizations
- Communicating results
- Reviewing models developed by others
- Collaborate with business leaders
- Data Science Project Lifecycle Management

What You Bring to the Team:

- Minimum of 1 to 2 years Machine Learning Experience (Supervised/Variety of Techniques)
- Minimum of 1 to 2 years Python Programming Experience
- Experience with the common machine learning toolkits:

- Scikit-Learn, Numpy, Scipy, Pandas, Matplotlib, Tensorflow, Keras
- Mathematics/Probability/Statistics Understanding
- Independent, Self-Directed
- Fast learner
- Good Communication Skills
- MS/PhD in math, CS, engineering, or related field
- Knowledge in meteorology, agriculture, energy and fuels is a plus

Why DTN?

OUR VISION: To be the independent, trusted source of insights to our customers who feed, protect, and fuel the world.

OUR MISSION: Empower our customers with intelligent and actionable insights that exceed their expectations and enable their success on a daily basis.

OUR VALUES: Customer Delight, Education, Teamwork, Colleague Focus, Innovation, Integrity

At DTN, we are an equal opportunity employer. Come join us as we help feed, fuel, and protect the world!

** DTN is an Equal Opportunity Employer Minorities/Women/Veterans/Disabled

The Pintig Lab needs to operate by having a whole-of-society approach where a diverse set of stakeholders and partners (including UN agencies, INGOs, NGOs, CSOs, the private sector, etc.) are consulted, engaged, and involved, ensuring that no one, including the most vulnerable, are disregarded. In this light, in every area of work, a gender lens also needs to be applied, to ensure that issues concerning women and girls are understood and tackled.
UNDP Pintig Lab is in need of a Data Scientist to provide technical support in conducting data-driven policy research, develop outputs and design systems to strengthen data governance for the Lab's partners in the Country Office, government, and civil society, and design and conduct capacity building activities and courses on using data for development planning, budgeting, and monitoring. The primary output of the engagement is a data platform, capacity building to support sustainability of the platform, and research for baseline studies.

**Responsibilities**:
Scope of Work
The Data Scientist will develop a data platform geared towards socioeconomic recovery and development and contributing to evidence-based decision-making among Pintig Lab stakeholders. The Data Scientist will also support the development of a baseline study on waster and marine litter. The responsibilities and deliverables of the Data Scientist would include:
Develop and enhance Pintig Lab's data platform
Lead the development of a data platform which would include supporting backend and frontend development of programs for dashboards, automation, and data visualization,
Lead and conduct dashboard design and prototyping,
Design data modelling processes and create algorithms and predictive models,
Conduct data analysis and develop visualizations in the areas of socioeconomic recovery and development, climate change, peace, DRR, local governance, and others relevant fields,
When related to the data platform, contribute to the development and design of databases and systems for data collection and data management to optimize statistical efficiency and quality,
When related to the data platform, assess systems for data collection, management, reporting, and analysis including assessments of process flow of data, and
Develop appropriate indicators as needed.
Train others to use the platform and other platforms of the Lab
Design and implement capacity building activities, including mentorship on the Lab's data platforms and tools for national and local government, CO Programme Teams, and civil society. Capacity building would include but not limited to data collection, management, analysis, visualizations, reporting, and maintenance.
Provide advice for stakeholders in the development of their own data platforms and data governance systems
Provide technical support and advice in the development of data portals for partners in the CO, government, and civil society,
Provide consultation and technical advice for Pintig Lab partners and coalition members on data development, management, sustainability, and analytical techniques and methods,
Support the Pintig Lab Chief Technical Advisor in the development of one (1) policy note or use case socioeconomic recovery, circular economy, and/or climate finance.
Accomplish quality assurance reports for deliverables of vendors that are related to data analytics,
Provide technical inputs to Terms of References and participate as technical expert in bid evaluation panels, and
Contribute to knowledge sharing engagements locally and internationally.
Work closely with the Circular Economy Expert and the Pintig Lab team on establishing a baseline study on waste and marine litter. The goal is to improve the data ecosystem to provide evidence for a circular economy strategy. The activities would involve the following:
Consolidate official data sources from LGUs and waste management assessments along with non-traditional data sources from private sector, crowd-sourced data, and satellite imagery.
Overlay datasets and visualize onto a GIS map to illustrate main sources of plastic waste production and litter in 4 target cities (to be identified by CAPT).
Data to be made available to national and local stakeholders and used to establish a baseline for portfolio of solutions to promote circular economy.
In the tasks above, the Data Scientist is expected to collaborate with the Chief Technical Advisor, Data Analysts, Data Managers, interns, consultants, experts, CO Programme Teams, and partners from the Pintig Lab network.
The Data Scientist will also work on other data platform related tasks that will be assigned by the Project Manager and Impact Advisory Team (IAT) Leader.
Expected Outputs and Deliverables

**The consultant is expected to deliver the following outputs**:
Deliverables/ Outputs
Estimated Duration to Complete
Review and Approvals Required

Circular Economy (CE) Indicator Map
23 days
Impact Advisory Team Leader
/Pintig LabProject Manager

Bid Evaluation Report, CE

Through our dedicated associates, Conduent delivers mission-critical services and solutions on behalf of Fortune 100 companies and over 500 governments - creating exceptional outcomes for our clients and the millions of people who count on them. You have an opportunity to personally thrive, make a difference and be part of a culture where individuality is noticed and valued every day.
**Data Scientist - Strong Python / R Background**
+ Proficiency in **Python** and/or **R** for data analysis, modeling, and automation.
+ Experience as a Business Analyst, Data Analyst, or similar role.
+ Familiarity with data science workflows and tools (Jupyter Notebook, NumPy, TensorFlow, PyTorch, Pandas, Prophet, or similar)
+ Ability to perform statistical analysis
+ Proven experience handling large datasets and conducting historical analysis in customer service operations or within Workforce Management in a call center environment
+ Excellent data visualization and storytelling skills.
+ Strong communication skills and ability to influence stakeholders with data-driven insights.
Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.
People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: click here to access or download the form ( . Complete the form and then email it as an attachment to . You may also click here to access Conduent's ADAAA Accommodation Policy ( .
_At Conduent we value the health and safety of our associates, their families and our community. For US applicants while we DO NOT require vaccination for most of our jobs, we DO require that you provide us with your vaccination status, where legally permissible. Providing this information is a requirement of your employment at Conduent._

Job Description

Position at Ingram Micro

The Automation Machine Learning Specialist (Professional Report and Analytics) role is primarily responsible in delivering quality reports automation and advanced analytics capabilities of GRDA. As a technical and business facing resource, this role will serve as the main point of contact of GRDA associates and business partners in enabling report automation and advance analytics. As an active team member, he/she will work closely with internal GRDA teams, allied supporting functions and external business leaders in resolving incidents and driving closure of service tickets. Serve as core leadership member in building machine learning enabled services of GRDA to enable actionable business insights powered by data science.

**What You Bring to the Role**:
Report & Analytics Automation (60%)
Advanced Analytics Service Operations (30%)
Reporting and Administrative Duties (10%)

S. in Computer Science, Engineering, Business, or in a related field
Minimum 5 years work experience with at least 3 years exposure to Reporting and Analytics.
MS in Data Science or Certifications in Advanced Analytics is a plus but not required.

**Technical Knowledge & Skills**:
VBA Macro - Intermediate
Python Programming - Intermediate
KNIME - Basic
Qlik N Printing - Basic

**Customer and Industry Knowledge**:
Experience in Order to Cash, Supply Chain or Procurement is a strong plus
.This is not a complete listing of the job duties. It's a representation of the things you will be doing, and you may not perform all of these duties.

**Job Description**:
Position at Ingram Micro

The Automation Machine Learning Specialist (Professional Report and Analytics) role is primarily responsible in delivering quality reports automation and advanced analytics capabilities of GRDA. As a techni

Job Description

Position at Ingram Micro

The Automation Machine Learning Specialist (Professional Report and Analytics) role is primarily responsible in delivering quality reports automation and advanced analytics capabilities of GRDA. As a technical and business facing resource, this role will serve as the main point of contact of GRDA associates and business partners in enabling report automation and advance analytics. As an active team member, he/she will work closely with internal GRDA teams, allied supporting functions and external business leaders in resolving incidents and driving closure of service tickets. Serve as core leadership member in building machine learning enabled services of GRDA to enable actionable business insights powered by data science.

**What You Bring to the Role**:
Report & Analytics Automation (60%)
Advanced Analytics Service Operations (30%)
Reporting and Administrative Duties (10%)

S. in Computer Science, Engineering, Business, or in a related field
Minimum 5 years work experience with at least 3 years exposure to Reporting and Analytics.
MS in Data Science or Certifications in Advanced Analytics is a plus but not required.

**Technical Knowledge & Skills**:
VBA Macro - Intermediate
Python Programming - Intermediate
KNIME - Basic
Qlik N Printing - Basic

**Customer and Industry Knowledge**:
Experience in Order to Cash, Supply Chain or Procurement is a strong plus
.This is not a complete listing of the job duties. It's a representation of the things you will be doing, and you may not perform all of these duties.

**Job Description**:
Position at Ingram Micro

The Automation Machine Learning Specialist (Professional Report and Analytics) role is primarily responsible in delivering quality reports automation and advanced analytics capabilities of GRDA. As a techni