7 Senior Data Scientist jobs in the Philippines
Data Scientist
Chevron Corporation
Posted 6 days ago
Job Viewed
Job Description
**About Us**
Chevron is a leading multinational energy company with operations in over 180 countries. Founded in 1879, Chevron has a rich history of innovation and growth, making significant contributions to the global energy landscape.
Chevron markets Caltex® fuels, lubricants and other petroleum products in the Philippines. Our network of service stations, terminals and sales offices forms the backbone of our presence in the Philippines.
In March 2020, Chevron sold its 45% non-operated interest in the Malampaya natural gas field. This was the first natural gas development and largest industrial project in the Philippines.
From the Philippines, we provide operational support for Chevron offices on five continents. The workforce supplies transactional, processing and consulting services in areas ranging from finance to information technology.
Chevron operates through two subsidiaries in the Philippines. Our Downstream company is Chevron Philippines Inc. We also operate a business processes support organization through Chevron Holdings Inc.
There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).
CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.
CHI has received various recognitions as a top employer: the 2024 Circle of Excellence for CSR Company of the Year; 2024 Top 10 Fortune 500 companies; 2023 HR Asia best companies; 2022 Diversity Company of the Year; 2021 Asia's Best Employer Brand Award; 2021 Global Best Employer Brand Award; 2020 HR Asia Best Companies to Work for in Asia; 2019 Circle of Excellence, Top Employer Category at Asia CEO Awards, and the 2018 Wellness Company of the Year at the same Asia CEO Awards.
At Chevron, we believe humanity can solve any challenge - including meeting the world's energy needs of today, while advancing a cleaner energy tomorrow.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
**About the Role**
We have an exciting opportunity for a **Data Science Analyst.** This role will be based in **6750 Building, Makati City, Philippines.**
**Responsibilities include, but are not limited to, the following** :
**Data engineering and analysis**
+ Performs text, quantitative, statistical, financial, and operational analysis; identifying trends, patterns, and anomalies that impact financial performance
+ Designs and implements data pipelines to automate the collection, cleaning, and processing of financial data from various sources
+ Parse, cleanse, and manipulate large amounts of structured and unstructured data for analysis; perform QA testing to ensure accurate results
+ Document data analysis processes, methodologies, and findings.
**Insight generation and strategy**
+ Conducts deep-dive analyses to uncover actionable insights that influence financial and operational strategy
+ Provides data-driven support for enterprise-wide Finance initiatives, ensuring alignment with business unit goals.
**Collaboration and communication**
+ Collaborates with the business to review data sources, data inconsistencies, and business logic for initiating data discovery
+ Partner with cross-functional teams to understand data requirements and deliver actionable insights.
**Continuous Improvement**
+ Stay current with industry trends and emerging technologies to ensure our data analysis practices remain cutting-edge.
**About You**
We know our greatest resource is the ingenuity, creativity and innovation of our people. Applications from motivated and talented individuals with a keen interest in the energy industry are encouraged.
**Knowledge, Skills, and Experience:**
+ Bachelor's degree in Accountancy, Data Science, Computer Science, Statistics, or a related field (or equivalent experience).
+ 3+ years' experience in data science or advanced analytics
+ Expertise in working with large-scale data environments, including data lakes and distributed systems. Understands data architecture, table relationships, and data lineage across platforms.
+ Proficient in tools and languages such as Python, R, SQL
+ Experience in cloud-based Machine Learning services (e.g., Azure ML, AWS SageMaker). Capable of building, deploying, and maintaining AI/ML models in production environments.
+ Expertise in Extract, Transform, Load methodologies and tools and navigating through large datasets.
+ Strong analytical and problem-solving skills with attention to detail and accuracy.
+ Excellent written and verbal communication skills to effectively frame analytics opportunities and convey data-driven insights through storytelling
+ Experience in partnering with people of diverse cultural backgrounds.
**Preferred qualifications:**
+ Certified Public Accountant (CPA) or equivalent
+ Strong Finance background that can be translated to model design, ROI assessment, cost-benefit analyses, among other methodologies.
+ Background in Azure and DataRobot
+ Experience with finance and accounting tools (SAP, JDE, Blackline, GEP SMART)
+ Industry experience in oil & gas.
+ Proficiency in data modeling techniques, data fluency, and governance.
+ Experience in Information Risk Management (IRM).
_Everything we do at Chevron is guided by our values and our commitment to The Chevron Way_ _( _. At the heart of The Chevron Way is our vision to be the global energy company most admired for its people, partnership, and performance._
_Participate in world-leading energy projects, advance your professional development and expand your career within an inclusive, collaborative and high-performing workplace._
**Benefits**
+ Competitive salary
+ Allowances, medical and optical reimbursements
+ Health care coverage for you and your eligible dependents
+ Robust employee centered programs for health and wellness
+ Time-off to promote healthy work-life balance or to care for your family
+ Annual corporate incentive bonus when the company meets established goals
+ Recognition & awards program
+ Long-term savings plan
+ Life insurance
+ Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups
+ Hybrid work model - work remotely from home several days a week
At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly strive to attract, develop and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace.
Connect with us:
Facebook ( ( participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
Chevron is a leading multinational energy company with operations in over 180 countries. Founded in 1879, Chevron has a rich history of innovation and growth, making significant contributions to the global energy landscape.
Chevron markets Caltex® fuels, lubricants and other petroleum products in the Philippines. Our network of service stations, terminals and sales offices forms the backbone of our presence in the Philippines.
In March 2020, Chevron sold its 45% non-operated interest in the Malampaya natural gas field. This was the first natural gas development and largest industrial project in the Philippines.
From the Philippines, we provide operational support for Chevron offices on five continents. The workforce supplies transactional, processing and consulting services in areas ranging from finance to information technology.
Chevron operates through two subsidiaries in the Philippines. Our Downstream company is Chevron Philippines Inc. We also operate a business processes support organization through Chevron Holdings Inc.
There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).
CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.
CHI has received various recognitions as a top employer: the 2024 Circle of Excellence for CSR Company of the Year; 2024 Top 10 Fortune 500 companies; 2023 HR Asia best companies; 2022 Diversity Company of the Year; 2021 Asia's Best Employer Brand Award; 2021 Global Best Employer Brand Award; 2020 HR Asia Best Companies to Work for in Asia; 2019 Circle of Excellence, Top Employer Category at Asia CEO Awards, and the 2018 Wellness Company of the Year at the same Asia CEO Awards.
At Chevron, we believe humanity can solve any challenge - including meeting the world's energy needs of today, while advancing a cleaner energy tomorrow.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
**About the Role**
We have an exciting opportunity for a **Data Science Analyst.** This role will be based in **6750 Building, Makati City, Philippines.**
**Responsibilities include, but are not limited to, the following** :
**Data engineering and analysis**
+ Performs text, quantitative, statistical, financial, and operational analysis; identifying trends, patterns, and anomalies that impact financial performance
+ Designs and implements data pipelines to automate the collection, cleaning, and processing of financial data from various sources
+ Parse, cleanse, and manipulate large amounts of structured and unstructured data for analysis; perform QA testing to ensure accurate results
+ Document data analysis processes, methodologies, and findings.
**Insight generation and strategy**
+ Conducts deep-dive analyses to uncover actionable insights that influence financial and operational strategy
+ Provides data-driven support for enterprise-wide Finance initiatives, ensuring alignment with business unit goals.
**Collaboration and communication**
+ Collaborates with the business to review data sources, data inconsistencies, and business logic for initiating data discovery
+ Partner with cross-functional teams to understand data requirements and deliver actionable insights.
**Continuous Improvement**
+ Stay current with industry trends and emerging technologies to ensure our data analysis practices remain cutting-edge.
**About You**
We know our greatest resource is the ingenuity, creativity and innovation of our people. Applications from motivated and talented individuals with a keen interest in the energy industry are encouraged.
**Knowledge, Skills, and Experience:**
+ Bachelor's degree in Accountancy, Data Science, Computer Science, Statistics, or a related field (or equivalent experience).
+ 3+ years' experience in data science or advanced analytics
+ Expertise in working with large-scale data environments, including data lakes and distributed systems. Understands data architecture, table relationships, and data lineage across platforms.
+ Proficient in tools and languages such as Python, R, SQL
+ Experience in cloud-based Machine Learning services (e.g., Azure ML, AWS SageMaker). Capable of building, deploying, and maintaining AI/ML models in production environments.
+ Expertise in Extract, Transform, Load methodologies and tools and navigating through large datasets.
+ Strong analytical and problem-solving skills with attention to detail and accuracy.
+ Excellent written and verbal communication skills to effectively frame analytics opportunities and convey data-driven insights through storytelling
+ Experience in partnering with people of diverse cultural backgrounds.
**Preferred qualifications:**
+ Certified Public Accountant (CPA) or equivalent
+ Strong Finance background that can be translated to model design, ROI assessment, cost-benefit analyses, among other methodologies.
+ Background in Azure and DataRobot
+ Experience with finance and accounting tools (SAP, JDE, Blackline, GEP SMART)
+ Industry experience in oil & gas.
+ Proficiency in data modeling techniques, data fluency, and governance.
+ Experience in Information Risk Management (IRM).
_Everything we do at Chevron is guided by our values and our commitment to The Chevron Way_ _( _. At the heart of The Chevron Way is our vision to be the global energy company most admired for its people, partnership, and performance._
_Participate in world-leading energy projects, advance your professional development and expand your career within an inclusive, collaborative and high-performing workplace._
**Benefits**
+ Competitive salary
+ Allowances, medical and optical reimbursements
+ Health care coverage for you and your eligible dependents
+ Robust employee centered programs for health and wellness
+ Time-off to promote healthy work-life balance or to care for your family
+ Annual corporate incentive bonus when the company meets established goals
+ Recognition & awards program
+ Long-term savings plan
+ Life insurance
+ Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups
+ Hybrid work model - work remotely from home several days a week
At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly strive to attract, develop and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace.
Connect with us:
Facebook ( ( participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist
Manulife
Posted 12 days ago
Job Viewed
Job Description
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
**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
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
Manulife
Posted 25 days ago
Job Viewed
Job Description
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
**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
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Scientist
National Capital Region, National Capital Region
Manpower Core Group Inc.
Posted 6 days ago
Job Viewed
Job Description
Artificial Intelligence/Machine Learning Engineer is responsible for designing and developing machine learning systems or AI products, implementing appropriate ML algorithms, and conducting experiments.
br>They possess strong programming skills, knowledge of data science, and expertise in statistics.
They work with data to create models, perform statistical analysis, and train and retrain models to optimize performance. Your responsibilities will involve designing and constructing sophisticated machine
learning models, as well as refining and updating existing systems.
Their goal is to build efficient self-learning applications and contribute to advancements in artificial intelligence.
In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles
Qualification
At least 3-5 years experience with Data Science or Machine Learning
Must have extensive experience with Python
Experience with at least 2 of the following technologies:
Predictive Modelling
NLP
Cloud Data (Azure, AWS, GCP)
Machine Learning/MLOps
Good to have:
Experience with GenAI Engineering (if candidate has this, they are automatically qualified)
br>They possess strong programming skills, knowledge of data science, and expertise in statistics.
They work with data to create models, perform statistical analysis, and train and retrain models to optimize performance. Your responsibilities will involve designing and constructing sophisticated machine
learning models, as well as refining and updating existing systems.
Their goal is to build efficient self-learning applications and contribute to advancements in artificial intelligence.
In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles
Qualification
At least 3-5 years experience with Data Science or Machine Learning
Must have extensive experience with Python
Experience with at least 2 of the following technologies:
Predictive Modelling
NLP
Cloud Data (Azure, AWS, GCP)
Machine Learning/MLOps
Good to have:
Experience with GenAI Engineering (if candidate has this, they are automatically qualified)
This advertiser has chosen not to accept applicants from your region.
3
Data Scientist - Dayshift
Philippine Space Agency (PhilSA)
Posted today
Job Viewed
Job Description
DATA SCIENTIST
WHAT IS A DATA SCIENTIST
Our awesome client, a leading IT company based in Australia is looking for a Data Scientist to be part of their IT team.
The Data Scientist - Quantjoins our quant data scientist team and applies
machine learning and statistical modellings to financial and risk management
problems. These models include but are notlimited to pricing, risk
segmentation and risk alerts.
WHAT WILL BE YOUR MAIN RESPONSIBILITIES
Working as part of an Agile team to investigate high volume transactional trading data & customer dimension data.
Actively contribute to discussions about data flow design, model design and standard methodology
Being hands-on in raw trading data and investigating unusual and interesting trends
Engaging closely with the Data Engineering team to develop & deploy models in production.
Working effectively with stakeholders to develop and release solutions with a focus on clear interpretation and easy actioning
Providing statistical evidence to communicate hypotheses and model projections
Assistin championing initiatives to improve the scalability and robustness of our models
WHAT ARE WE LOOKING FOR
Qualifications in Computer Science, Actuarial Science, Statistics, Mathematics, Econometrics and/or Applied Finance
Sound knowledge of financial and trading markets
Proficiency in Jupyter Notebooks, SQL, Python, PySpark, SageMaker or DataBricks/Snowflake/H20
**A discernible passion for quantitative modeling**: especially around large-scale data processing
Knowledge ofthe AWS technology stack
Experience in analyzing large, complex multi-dimensional datasets and coming up with key actionable insights
Experience in driving projects end to end from analysis, experimentation,testing to production
Proven financial modeling and risk management skills
A demonstrated ability to meet multiple competing deadlines
Strong problem-solving capabilities as well as the ability to adapt to changing and conflicting priorities
An understanding ofthe technology, use cases, and choices available across Data Processing (e.g. Spark, Flink), Data Workflows (e.g. Airflow, Luigi), Data Formats (e.g. Avro, Parquet, Arrow, protobuf) - Desirable
Experience with MetaQuotes platform (desirable)
Experience with backtesting framework (desirable)
Ability to effectively collaborate with others
Sound communication skills both verbal and written
Ability to thrive in a nimble,fast paced environment
DATA SCIENTIST
WHAT IS A DATA SCIENTIST
Our awesome client, a leading IT company based in Australia is looking for a Data Scientist to be part of their IT team.
The Data Scientist - Quantjoins our quant data scientist team and applies
machine learning and statistical modellings to financial and risk management
problems. These models include but are notlimited to pricing, risk
segmentation and risk alerts.
WHAT WILL BE YOUR MAIN RESPONSIBILITIES
Working as part of an Agile team to investigate high volume transactional trading data & customer dimension data.
Actively contribute to discussions about data flow design, model design and standard methodology
Being hands-on in raw trading data and investigating unusual and interesting trends
Engaging closely with the Data Engineering team to develop & deploy models in production.
Working effectively with stakeholders to develop and release solutions with a focus on clear interpretation and easy actioning
Providing statistical evidence to communicate hypotheses and model projections
Assistin championing initiatives to improve the scalability and robustness of our models
WHAT ARE WE LOOKING FOR
Qualifications in Computer Science, Actuarial Science, Statistics, Mathematics, Econometrics and/or Applied Finance
Sound knowledge of financial and trading markets
Proficiency in Jupyter Notebooks, SQL, Python, PySpark, SageMaker or DataBricks/Snowflake/H20
**A discernible passion for quantitative modeling**: especially around large-scale data processing
Knowledge ofthe AWS technology stack
Experience in analyzing large, complex multi-dimensional datasets and coming up with key actionable insights
Experience in driving projects end to end from analysis, experimentation,testing to production
Proven financial modeling and risk management skills
A demonstrated ability to meet multiple competing deadlines
Strong problem-solving capabilities as well as the ability to adapt to changing and conflicting priorities
An understanding ofthe technology, use cases, and choices available across Data Processing (e.g. Spark, Flink), Data Workflows (e.g. Airflow, Luigi), Data Formats (e.g. Avro, Parquet, Arrow, protobuf) - Desirable
Experience with MetaQuotes platform (desirable)
Experience with backtesting framework (desirable)
Ability to effectively collaborate with others
Sound communication skills both verbal and written
Ability to thrive in a nimble,fast paced environment
DATA SCIENTIST
This advertiser has chosen not to accept applicants from your region.
4
Lead Data Scientist GS Procurement
Parañaque, National Capital Region
J&J Family of Companies
Posted 5 days ago
Job Viewed
Job Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Function:**
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Bangalore, Karnataka, India, Beerse, Antwerp, Belgium, Bogotá, Distrito Capital, Colombia, New Brunswick, New Jersey, United States of America, Paranaque, National Capital Region (Manila), Philippines, Prague, Czechia, Tampa, Florida, United States of America
**Job Description:**
**Purpose** : We are looking for a strategic, curious, and self-motivated Data Scientist to join our Procurement Digital & AI Solutions team within Global Services, Procurement, Johnson & Johnson.
In this role you will lead the design, development and deployment of advanced Analytics, machine learning, Agentic AI, and Generative AI Solutions that tackle complex challenges across our Procurement ecosystem. You will work at the intersection of business and technology-translating procurement needs into scalable, data-driven innovations that deliver measurable value. You will collaborate closely with category leaders, process owners, digital teams, technology partners, and external collaborators to shape the future of intelligent procurement at J&J.
**You will be responsible for:**
+ Design, develop, and deploy scalable machine learning, predictive analytics, and generative AI/ agentic AI solutions
+ Identify and scope high-impact opportunities where AI/ML can enhance decision-making, drive cost savings, or unlock efficiency.
+ Set up and maintain robust Data science infrastructure, supporting environments for experimentation, pilot, and Production.
+ Collaborate with procurement and digital leaders to define the long-term GenAI and innovation strategy, roadmap, and KPIs.
+ Ensure the quality, reliability, and security of the generative AI and technology solutions, and comply with the relevant standards, policies, and regulations.
+ Manage end-to-end AI Products lifecycle-from ideation and prototyping to deployment, scaling, and post-launch optimization.
+ Stay ahead of trends in Generative and Agentic AI, evaluating opportunities to apply cutting-edge technologies.
+ Communicate the impact and value of AI solutions through clear metrics, stakeholder reporting, and strategic storytelling.
**Qualifications / Requirements**
+ A master's degree (Preferred) in computer science, engineering, or a related field, with a focus on AI, machine learning, or data science.
+ Minimum of 3-5 years of experience in data science, AI or technology innovation projects or teams, preferably in the health care or life sciences industry.
+ Hands-on expertise with R, Python, data science frameworks, and cloud AI/ML Offerings (e.g.: Azure, AWS)
+ Strong understanding of generative AI, agentic AI and emerging technologies and their business applications.
+ Prior experience or exposure to Procurement or supply chain domains is preferred.
+ Excellent communication skills to engage, influence, and translate complex topics for non-technical audience.
+ Innovative mindset, eager to learn, experiment and continuously improve.
+ Demonstrated ability to lead cross-functional or vendor teams to deliver business value.
+ Strong commitment to ethical AI Practices, privacy, and data security.
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Bangalore, Karnataka, India, Beerse, Antwerp, Belgium, Bogotá, Distrito Capital, Colombia, New Brunswick, New Jersey, United States of America, Paranaque, National Capital Region (Manila), Philippines, Prague, Czechia, Tampa, Florida, United States of America
**Job Description:**
**Purpose** : We are looking for a strategic, curious, and self-motivated Data Scientist to join our Procurement Digital & AI Solutions team within Global Services, Procurement, Johnson & Johnson.
In this role you will lead the design, development and deployment of advanced Analytics, machine learning, Agentic AI, and Generative AI Solutions that tackle complex challenges across our Procurement ecosystem. You will work at the intersection of business and technology-translating procurement needs into scalable, data-driven innovations that deliver measurable value. You will collaborate closely with category leaders, process owners, digital teams, technology partners, and external collaborators to shape the future of intelligent procurement at J&J.
**You will be responsible for:**
+ Design, develop, and deploy scalable machine learning, predictive analytics, and generative AI/ agentic AI solutions
+ Identify and scope high-impact opportunities where AI/ML can enhance decision-making, drive cost savings, or unlock efficiency.
+ Set up and maintain robust Data science infrastructure, supporting environments for experimentation, pilot, and Production.
+ Collaborate with procurement and digital leaders to define the long-term GenAI and innovation strategy, roadmap, and KPIs.
+ Ensure the quality, reliability, and security of the generative AI and technology solutions, and comply with the relevant standards, policies, and regulations.
+ Manage end-to-end AI Products lifecycle-from ideation and prototyping to deployment, scaling, and post-launch optimization.
+ Stay ahead of trends in Generative and Agentic AI, evaluating opportunities to apply cutting-edge technologies.
+ Communicate the impact and value of AI solutions through clear metrics, stakeholder reporting, and strategic storytelling.
**Qualifications / Requirements**
+ A master's degree (Preferred) in computer science, engineering, or a related field, with a focus on AI, machine learning, or data science.
+ Minimum of 3-5 years of experience in data science, AI or technology innovation projects or teams, preferably in the health care or life sciences industry.
+ Hands-on expertise with R, Python, data science frameworks, and cloud AI/ML Offerings (e.g.: Azure, AWS)
+ Strong understanding of generative AI, agentic AI and emerging technologies and their business applications.
+ Prior experience or exposure to Procurement or supply chain domains is preferred.
+ Excellent communication skills to engage, influence, and translate complex topics for non-technical audience.
+ Innovative mindset, eager to learn, experiment and continuously improve.
+ Demonstrated ability to lead cross-functional or vendor teams to deliver business value.
+ Strong commitment to ethical AI Practices, privacy, and data security.
This advertiser has chosen not to accept applicants from your region.
5
Software Engineer (AI/Machine Learning)
Hrtx
Posted 23 days ago
Job Viewed
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!
This advertiser has chosen not to accept applicants from your region.
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