Gds Consulting_Ai
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Gds Consulting AI Data Data Science Senior Man...
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Job DescriptionPosition: Director - Data Analysis
Schedule: Night Shift
Work Set-up: Hybrid
Employment Type: Full Time and Direct Hire
About the Role:
As the Director for Data Analysis, you are responsible for validating enterprise-wide analytical tools to ensure quality, manage risks, and support effective business decision-making. Python programming skills to support testing, automation, and prototyping of analytical solutions.
- Develop and refine a framework for validating analytical tools across the organization.
- Plan, manage, and execute validation projects independently.
- Assess the methodologies, risks, and applications of analytical tools used across business processes.
- Provide clear communication of findings through validation reports, presentations, and stakeholder discussions.
- Collaborate with colleagues and leverage training to design innovative business solutions using coding and analytics.
- Mentor and coach junior staff for analytical problem-solving.
Job Qualification
- Bachelor's degree in Finance, Economics, Statistics, Computer Science, Mathematics, Engineering, or a related field (Master's degree preferred).
- Strong Python programming skills for automation, testing, and prototyping
- Solid understanding of analytical tools, quantitative models, and risk assessment frameworks.
- Excellent communication skills with experience preparing reports, presentations, and technical documentation for both technical and non-technical audiences.
- Strong problem-solving and critical thinking abilities, with a track record of driving process improvements and implementing best practices.
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Pr. Analyst, Data AnalysisPosted today
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Job DescriptionPr. Analyst, Data Analysis
*Summary: *
- As a Pr. Data Analyst, this role will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. This role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. The role will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. This role will have the opportunity to lead multiple projects, drive strategic initiatives, and leverage cutting-edge technologies and innovative data practices to strengthen risk management strategies:
*General Responsibilities *
- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Further responsibilities include data management, governance, and collaboration with Tech teams to ensure data quality and security.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to any protected characteristic.
If you require accommodations, contact Capital One Recruiting.
Capital One does not endorse third-party products advertised on this site.
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Artificial Intelligence EngineerPosted today
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Job Description
Greetings From LanceSoft
Onsite Setup
6 Month Contract Role
Skills required:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Minimum 5 years experience in data and AI including chatbot experience management.
- Has done solutioning and solution architecture assessment, design and execution
- Strong understanding of UI/UX principles and best practices.
- Excellent programming skills Python, R, SQL; reporting tools MS Power BI, Tableau, other MS Office; and preferably with experience in developing mobile/web app
- Exposure to machine learning models for integration with AI programs; Familiarity with statistical modeling techniques
- Familiarity with Gen AI and other AI technologies, preferably with MS Copilot Studio, other LLMs
- Excellent communication and storytelling skills
- Strong project management skills and understanding of agile methodologies
Location: Taguig, National Capital Region
Artificial Intelligence EngineerPasig City, National Capital Region ₱ - ₱
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Job DescriptionThe Artificial Intelligence Engineer will join the team to deliver machine learning-driven products, including development, deployment, and lifecycle management of ML models for large-scale applications.
- Design, implement, and deploy ML algorithms.
- Manage ML algorithm lifecycle.
- Coordinate data collection and annotation.
- Work with real-time data and multiple data sources.
- Manage ML data pipelines.
- Design tests for ML effectiveness and performance monitoring.
- Design tools for interactive ML and teaching.
- R&D on cutting-edge ML technologies.
Required Qualifications:
- 3+ years of software engineering experience, Python proficiency.
- RESTful APIs, JSON, and system integration
- JWT authorization familiarity
- Git/Azure DevOps
- Experience with LLMs and generative AI
- Ability to translate business requirements into technical solutions
Preferred Qualifications:
- Experience in financial services or banking
- Cloud-native AI services
- Experience with LangChain or similar frameworks
- Strong communication skills
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Artificial Intelligence DevelopersPasig City, National Capital Region ₱ - ₱
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Job DescriptionArtificial Intelligence Stackers (Front-End, Back-End, or Full Stack)
We are hiring AI/ML enthusiasts to contribute across the stack. Full-time, Pasig office, Australian business hours. Roles involve building agentic AI systems and collaborating with product, UX, and engineering teams.
Your Impact & Responsibilities
- Design, develop, and maintain AI-enabled applications
- Deploy ML models and pipelines to production
- Develop APIs and interfaces for autonomous agents
- Integrate AI agents using LangChain, CrewAI, or custom architectures
- Collaborate with PMs and UX designers
- Ensure robust data handling and visualization
- Participate in code reviews and architecture discussions
- Monitor and improve system performance
What You'll Bring
- Bachelor’s or higher in CS/IT/Data Science
- 1+ years in front-end/back-end/full-stack
- Python for back-end and/or React/Vue for front-end
- ML concepts and ML model integration
- Agentic AI frameworks familiarity
- REST APIs, microservices, cloud platforms
- Data structures and scalable design
Why Join Us?
- Australian business hours
- Salary PHP 55,000 - 100,000
- Signing/loyalty bonuses
- Benefits and paid leave
- Career growth and training
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GDS Consulting_Data and Artificial Intelligence Associate DirectorPosted today
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Job DescriptionEY GDS Philippines seeks Associate Director to lead AI & Data team, deliver AI & Data solutions, grow client relationships, and manage large-scale engagements. Role includes skilling programs, coaching, budget planning, and thought leadership.
- Lead and scale the AI & Data practice
- Manage end-to-end AI & Data projects
- Architect complex deals
- Own key regional accounts
- Be involved in local/global AI & Data forums
- Collaborate on Points of View and Position Papers
- Drive skilling programs and leadership development
- Budgeting and planning
Key Skills:
- Strong consulting experience in Data Eng, AI, Automation
- Experience selling/delivering large engagements
- 12+ years in data/AI fields
- Advanced degree in related field
- Python, R, SQL proficiency
- Cloud, big data, AI/ML expertise
- Analytics modeling experience
- Leadership and stakeholder management
EY promotes a better working world. This advertiser has chosen not to accept applicants from your region.
DWS - Business Functional Analyst - Financial Reporting and Data Analysis/Modelling - AVPPosted today
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Job DescriptionOverview and responsibilities for regulatory reporting, data warehousing, data modeling, and data analytics in financial services context. Midshift and hybrid work options.
- High-volume data analytics for regulatory reporting
- Design and customize data warehouse components
- Develop and maintain business data models
- Analyze data flows and issues; drive long-term fixes
- Collaborate with stakeholders to capture requirements
- Manage data issues and regulatory metrics
Your skills
- SQL, Python data analytics
- Experience with Axiom regulatory reporting platforms
- Understanding of Risk, Accounting, Treasury, Finance
- Know-how of banking operations data flows
- Midshift and hybrid work eligibility
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