21 Machine Learning Roles jobs in the Philippines

Functions:
br>1. Responsible for end-to-end AI products development lifecycle, from ideation, proposal preparation, and prototyping to deployment and maintenance & reporting

• Perform research, business and technical analysis, designing, developing, and implementing AI-driven products and solutions; Ensure completeness of reporting and documentations as required. < r>• Collaborate with stakeholders to understand their requirements and translate them into a clear AI program vision together with the plan to execute and operationalize; Conduct and interpret user surveys as needed. < r>• Work closely with cross-functional teams, including data scientists, engineers, designers, and business stakeholders, to define product requirements, prioritize features, and drive the product roadmap. < r>• Evaluate emerging AI tools, frameworks, and platforms to assess their potential for improving business growth. Analyze products, and potential vendor/supplier offerings and benchmark AI products to gain insights into their strengths, weaknesses, and differentiators, and especially references cases. < r>• Conduct market research and competitive analysis on what the other banks, relevant companies or the industries are doing to address business challenges possibly to be resolved or augmented by AI-driven products. < r>• Ensure adherence to the selection and approval process of AI tools and products, including development or facilitation of proof of concepts or protypes, with comprehensive assessment and documentation of results and recommendations. < r>• Design, develop and deploy AI-driven solutions, including machine learning models, natural language processing systems, computer vision applications, and other AI technologies. < r>• Lead creation of enablement plans for the usage or roll out of AI products. and conduct necessary knowledge sharing/training < r>• Adhere to ethical and legal guidelines related to AI, data privacy, and security. Ensure compliance with relevant regulations, such as GDPR or industry-specific standards, when designing and developing AI products. < r>
2. Participate to the division’s design and implementation of overall strategy and guidelines for AI Program < r>
• Contribute to the development and implementation of the overall experience strategy and guidelines for the team’s AI Program, with measurable KPIs and KRAs.
• Create compelling content and AI products for various channels, including websites, social media, blogs, and newsletters, to engage and educate the target audience. AI products should be consistent to the Bank’s branding and messaging across all program materials and channels.

3. Performance Management and Analysis:

• Responsible to develop and implement a performance management framework to track and measure the AI program's success against KPIs and KRAs, especially those committed as part of Project business case approvals < r>• Conduct regular analysis of program data to identify trends, patterns, and areas for improvement. < r>• Collaborate with cross-functional teams to develop improvement strategies based on data insights. < r>
4. Reporting, Stakeholder Communication, Dashboard Development

• Prepare and present regular reports and dashboards that highlight program performance, trends, and insights. < r>• Collaborate with stakeholders to understand reporting requirements and ensure timely and accurate delivery of reports. < r>• Communicate findings and recommendations to senior management and cross-functional teams in a clear and concise manner. < r>• Develop and maintain interactive dashboards to track program metrics and provide real-time visibility into performance. < r>• Utilize data visualization tools (e.g., Tableau, Power BI) to create user-friendly and visually appealing dashboards. < r>• Continuously improve and enhance dashboards based on user feedback and evolving program needs. < r>
Qualifications:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. < r>• Minimum 5 years experience in data and AI including chatbot experience management. < r>• Has done solutioning and solution architecture assessment, design and execution < r>• Strong understanding of user interface (UI) user experience (UX) principles and best practices. < r>• Excellent programming skills Python, R, SQL; reporting tools MS Power BI, Tableau, other MS Office; and preferably with experience in developing mobile/web app < r>• Exposure to machine learning models for integration with AI programs; Familiarity with statistical modeling techniques < r>• Familiarity with Gen AI other AI technologies, preferably with MS Copilot Studio, other LLMs < r>• Excellent communication and storytelling skills, with the ability to craft compelling narratives, value proposition and engage the target audience. < r>• Skilled on research, business and technical analysis, business value propositions build & presentations < r>• Experience in branding and communications, with a keen eye for visual design and messaging. < r>• Familiarity with conversational design principles and chatbot/virtual assistant technologies. < r>• Strong project management skills, with the ability to prioritize tasks, meet deadlines, and manage multiple stakeholders; Strong understanding of agile methodologies, such as Scrum or Kanban, and their application in AI product development. < r>• Creative mindset with the ability to think outside the box and innovate.

As a Generative AI Engineer, you will have an eagerness to stay on the bleeding edge of AI technologies and services, continuously learning and applying new skills, and willing to continuously be on a steep learning curve. You will be responsible for developing and implementing:
- Azure AI Search br>- Azure Cognitive services and Azure Open AI services
- Azure Datalake services
- While integrating with Dynamics 365 or React and other partners APIs
- Azure security and tokens in a customised multi-tenant environment
- Knowledge of scripting environments and use of BICEP files


Qualification
Strong programming skills in Python and/or Node JS and working with REST APIs
Experience in working with generative models preferred
Proficiency in working with large datasets and data preprocessing
Understanding of natural language processing (NLP) techniques
Experience in AI search or other configuring and setting up other search engines
Strong problem-solving and analytical skills
Good written and verbal communication skills
Ability to work independently and in cross-functional teams
Bachelor's or master's degree in computer science, data science, or a related field
Relevant certifications in Azure and AI are highly desirable, however experience and willingness to learn and work hard always matters more.

**Job Summary:**
If you are a professional looking for an opportunity to work with the global Emerson Systems and Software organization, this is a stimulating opportunity for you! As an AI Software Engineer, you will design, develop, maintain, and test cutting-edge software applications with AI functionality. Your goal will be to bridge the gap between software application features and AI technologies, algorithms, logic, and methodologies.
**In this Role, Your Responsibilities Will Be:**
+ Using different AI technologies including frameworks, libraries, models, and algorithms to solve specific software application problems
+ Integrating machine learning and deep learning algorithms and other frameworks into software applications
+ Collaborating with data engineers and scientists to preprocess and analyze various data sets for training and testing
+ Fine-tuning AI models for improved performance and accuracy, and integrating AI models into production software
+ Researching, analyzing, designing, developing, and delivering end-to-end solutions, staying up to date on the latest AI technologies
+ Developing applications with AI capabilities and features, writing, testing, and deploying code
+ Participating in scrum activities and collaborating closely with partners and global teams to ensure technical solutions align with business goals
+ Maintaining and updating technical documentation to ensure that others can easily understand and extend software applications.
+ Other duties that may be assigned in relation to deliverables
**Who You Are:**
You have a strong bottom-line orientation. You learn quickly when facing new situations. You ask the right questions to accurately analyze situations. You introduce new ways of looking at problems. You orchestrate multiple activities simultaneously to accomplish a goal.
**For This Role, You Will Need:**
+ Bachelor's or Master's degree or equivalent in Engineering, Computer Science, Artificial Intelligence, IT, or any related field.
+ 6+ years of proven experience as a software developer with proficiency in programming languages such as C++, C#, Python, or Java.
+ Familiarity with applying software design patterns such as SOLID or Gangs of Four.
+ Strong knowledge and understanding of AI-related concepts such as machine learning algorithms, frameworks, and generative AI.
+ Experience in AI libraries and frameworks like PyTorch, TensorFlow, or similar.
+ Knowledge of data pre-processing, feature engineering, prompt engineering, and model evaluation techniques.
+ Strong analytical and problem-solving skills, with excellent communication and collaboration skills.
**Preferred Qualifications that Set You Apart:**
+ At least 2 years experience of working with AI/ML projects and a good grasp of the nature of AI applications is a plus
+ Working experience with frameworks like Haystack, Langchain, Ollama, or similar is an advantage.
+ Familiarity with best practices in software development, including Agile methodologies test-driven development, and DevSecOps is ideal.
**Our Culture & Commitment to You**
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
**Requisition ID** : 25021086
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start _Caring. Connecting. Growing together._
The Consumer Engineering (CE) team is responsible for building all consumer-facing experiences. We are expanding our capabilities to power the next generation of AI-driven consumer experiences that surprise and delight. We plan to achieve this by building innovative new platforms, frameworks, and solutions designed to make healthcare easy and personalized. As a Software Engineer on this team, you will be a key technical contributor, designing and building the core AI/ML systems that drive these experiences.
Key Challenges:
+ Simplifying Healthcare Complexity: Apply your engineering skills and AI/ML techniques to build systems that navigate the intricate healthcare landscape, making it easier for millions of users to access care
+ Building Scalable AI Systems: Design, implement, and deploy robust, production-grade AI solutions capable of handling large volumes of data and user interactions within our consumer-facing applications
+ Driving Rapid Innovation: Implement and experiment with new AI advancements (like LLMs) to solve real-world healthcare problems effectively and ethically, contributing practical solutions
+ Cross-Functional Integration: Build and integrate AI capabilities seamlessly into broader consumer experiences, collaborating effectively with product, design, and fellow engineers
**Primary Responsibilities:**
+ Contribute to the development, testing, deployment, and maintenance of machine learning models and AI-powered systems for consumer-facing platforms, under the guidance of senior engineers
+ Participate actively in the full AI lifecycle: contributing to brainstorming and conceptualization, rapid prototyping and experimentation, and writing high-quality, robust production code
+ Assist with the implementation and management of cloud infrastructure for AI solutions, learning and applying Infrastructure as Code principles
+ Utilize and contribute to reusable AI/ML platforms, components, and frameworks, helping to improve engineering efficiency
+ Actively seek guidance and learn from senior engineers through code reviews, pair programming, and technical discussions
+ Collaborate closely with product managers, designers, and other engineers to understand requirements, refine technical approaches, and deliver scalable, impactful AI solutions
+ Stay current with the latest advancements in AI/ML and software engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges
+ Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments
+ Contribute to a team culture focused on technical excellence, continuous learning, and curiosity
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience
+ Core Experience: 2+ years of professional software engineering experience with a significant focus on building and deploying production-grade AI/ML models and systems
+ AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly
+ Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code
+ Technical Breadth: Familiarity and hands-on experience with relevant technologies such as backend services (e.g., Python/Node.js/Java/Go), cloud platforms (AWS/GCP/Azure), front-end frameworks (e.g., React Native helpful), CI/CD pipelines, REST/WebSocket API development, and database technologies
+ Broad ML Domain Knowledge: Practical experience or solid knowledge in various machine learning domains such as Natural Language
+ Processing (NLP), Computer Vision, Personalization & Recommendation systems, and/or Anomaly DetectionLLM Experience: Hands-on experience building applications leveraging LLMs and deploying them into a production environment (considering aspects like performance, cost, reliability, monitoring)
+ Adaptability & Learning Agility: Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity
+ Ownership & Drive: You are self-driven, take immense pride in your technical contributions, proactively tackle problems, own features end-to-end, and find satisfaction in building impactful solutions
+ Inherent Curiosity: You possess a solid desire to understand *how* and *why* things work, driving you to build better, more efficient systems
**Preferred Qualifications:**
+ Experience building large-scale, consumer-facing applications
+ Experience working within the healthcare industry or another regulated environment
+ Contributions to relevant open-source projects or building any demo-worthy side projects and SaaS products
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_Optum is a drug-free workplace. © 2025 Optum Global Solutions (Philippines) Inc. All rights reserved._

About the Role

This position focuses on designing, developing, maintaining, auditing, and enhancing software applications. It involves the full software development lifecycle including coding, debugging, testing, and troubleshooting. The role requires crafting solutions for complex projects with minimal supervision, mentoring junior engineers, and influencing best practices across teams. A key component of this position is leading the integration of artificial intelligence (AI) technologies to elevate development velocity, spark innovation, and transform the developer experience through AI-augmented tools and workflows.

Required Experience

• 5+ years of software engineering experience, including back-end development with .NET and Python.
• 5+ years of experience with front-end frameworks such as Angular or React.
• 5+ years of experience working with SQL and NoSQL databases.
• 5+ years of hands-on cloud experience (AWS, Azure), including serverless infrastructure.
• 35 years working directly with AI frameworks and tools (e.g., LangChain, vector databases).
• Proficiency with automated testing tools like Selenium, Cypress, Playwright, JUnit, or Jest.
• Proven experience integrating and optimizing AI models within applications.

Key Skills and Competencies

• Solid understanding of enterprise integration and cloud design patterns.
• Advanced prompt engineering skills and effective use of large language models.
• Expertise in building and consuming RESTful APIs.
• Familiarity with containerization tools (Docker) and orchestration (Kubernetes).
• Strong grasp of DevOps and CI/CD practices (GitHub, Azure DevOps, etc.).
• Proficiency using AI coding assistants (e.g., GitHub Copilot, Cursor).
• Understanding of AI model lifecycle: preprocessing, feature engineering, evaluation.
• Ability to lead change and influence engineering practices across teams.
• Strong communication and problem-solving skills.
• Ability to work independently and collaboratively in high-paced environments.
• Excellent time management and multitasking abilities.
• Mentorship experience and a track record of driving team improvements.
• Passion for learning, innovation, and improving the developer experience through emerging AI technologies.

Work setup: WFH, Remote

Work schedule: Dayshift, Midshift

About the Role:
We are looking for a skilled AI Automation & Agent Engineer with hands-on experience in workflow automation platforms such as n8n. The role involves designing, developing, and implementing AI-driven automation solutions and intelligent agents for our clients in the Philippines. You will collaborate closely with cross-functional teams to build, customize, and deploy AI agents, automatecomplex workflows, and ensure seamless solution integration that drives measurable client value. br>
Key Responsibilities:
AI Agent Development: Design, develop, and deploy intelligent agents for various business processes and client-specific use cases.
Workflow Automation: Build, manage, and optimize automation workflows using platforms like n8n to streamline business operations.
Customization & Integration: Integrate third-party APIs, AI services, and automation tools into client systems.
Technical Research: Continuously explore new AI frameworks, libraries, and workflow automation technologies to drive innovation. Testing & Optimization: Conduct thorough testing, troubleshoot performance issues, and refine automation solutions for maximum efficiency.
Collaboration: Work closely with product managers, project managers, and client stakeholders to ensure solutions align with business needs.

Qualifications & Skills:
Bachelor’s degree in Computer Science, Engineering, or related field. Proven experience n8n AI development, automation engineering, or software integration projects. < r>Hands-on experience with workflow automation platforms, especially in (designing and deploying complex workflows)
Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch), APIs, and automation tools
Proficiency in programming languages such as Python, JavaScript, or similar
Experience integrating AI agents with third-party applications and enterprise systems.
Excellent problem-solving skills, attention to detail, and the ability to work independently. Familiarity with cloud environments (AWS, Azure, or GCP) is a plus

**Why Microsoft :**
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**The Purpose Of This Role:**
Are you insatiably curious, deeply passionate about the realm of AI & applications, and ready to tackle complex challenges in a dynamic environment? If so, we invite you to join our team as a Cloud & AI Solution Engineer in AI Applications for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.
Microsoft is transforming the developer experience for AI applications across the development lifecycle. With AI Foundry and seamless integration with Azure AI, we're leading the way in Agentic AI development where AI agents streamline development and operations. As an AI Apps Solution Engineer, you'll help customers adopt these innovations to boost productivity, drive innovation, and become AI-native.
**The Impact You'll Be Making:**
As an AI Applications Solution Engineer (SE), you will play a pivotal role in helping enterprise AI developers unlock the full potential of Microsoft's AI-powered stack across every stage of the development lifecycle. You'll collaborate closely with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows. In summary, you'll help customers modernize their applications and realize the full value of Microsoft's AI platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications and agents into their development workflows. In summary, you'll help customers modernize their applications leveraging AI and realize the full value of Microsoft's platform.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons, code-with sessions, and architecture workshops-to accelerate adoption of Microsoft's developer tools and cloud platforms.
+ Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET).
+ Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
+ Represent Microsoft through thought leadership in developer communities and customer forums
**Qualifications**
**What skills or experiences do you need to have?**
There will be many opportunities for you to learn and grow into this role and Microsoft. However, to
be able to best deliver on the purpose of this role, these are the core skills and experiences you
should have on day one:
+ 5+ years technical pre-sales or technical consulting experience. OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience. OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience. OR equivalent experience
+ Expert on full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET)
+ Expert for AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.)
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

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

**Job Summary**
We are seeking a detail-oriented and analytical Partner Data Analyst to support our Propensity to Buy (P2B) program. This role will be crucial in analyzing customer data generating reports and communicating effectively with partners and project leads. The ideal candidate will possess strong analytical skills excellent communication abilities and the capacity to work efficiently within a fast-paced environment.
**Responsibilities**
Data Cleansing or Data Cleaning To improve the quality and accuracy of raw data making it suitable for analysis and modeling
To identify and correct or remove errors inconsistencies and inaccuracies within a dataset
Handling Missing Data Addressing missing values by either removing records imputing values or using other appropriate techniques
Removing Duplicates Eliminating redundant records that can skew analysis results
Correcting Inconsistencies Standardizing data formats correcting typos and resolving conflicting data entries
Addressing Outliers Identifying and handling extreme values that may distort analysis
Data Validation Ensuring that data conforms to predefined rules and standards
Customer Scoring Data Matching
Analyze provided customer lists and match them against existing scoring models to determine Propensity to Buy P2B scores
Assign a default score of 1 to customers not found in the scoring model
Reporting Presentation
Develop and deliver comprehensive reports and presentations to share P2B scoring results with partners
Partner Communication FollowUp
Proactively communicate completed customer lists to partners and provide necessary followup
Project Lead Communication Collaboration
Proactively communicate edge scenarios assistance requests and potential issues to project leads
Maintain regular communication cadences with project leads
Respond promptly to team communication and pings
Ad Hoc Reporting Analysis
Generate ad hoc reports and presentations related to the P2B project as needed
Location Availability
Work from a nearshore location or if offshore maintain North American working hours for optimal alignment
Service Level Agreement SLA Compliance
Return completed customer lists within the agreedupon 2448 hour SLA
**Qualifications**
Technical Skills
Advanced proficiency in Google SheetsExcel eg pivot tables advanced formulas data visualization macros
Working knowledge of SQL for data extraction and manipulation
Strong presentation skills using Google Slides with the ability to create impactful and informative presentations
Communication and Interpersonal Skills
Excellent communication skills both written and verbal
Ability to create and deliver presentations
Strong organizational and timemanagement skills
Analytical Skills
Strong analytical and problemsolving skills
Ability to interpret data and translate it into actionable insights
Organizational Skills
Strong organizational and time management skills
Ability to manage multiple tasks and priorities effectively
Ability to work independently and collaboratively
Experience
Experience in a partnerfacing role or related field is preferred
Experience in data analysis and reporting
Experience using CRM tools is a plus
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.