SMG Finance Data Scientist at Intel - Dubai

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

0.0

Posted On

15 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Power Bi, LLMs, Agent Frameworks, Automation, Predictive Modeling, Statistics, Data Visualization, Machine Learning, Deep Learning, Langchain, Dify, Power Automate, Git, DevOps, Prompt Engineering

Industry

Semiconductor Manufacturing

Description

Job Details: Job Description: Intel is a global leader in semiconductor business, committed to driving innovation and efficiency through data-driven decision-making. Our Sales and Marketing Group (SMG) Operations Finance LeAp (Leading Application) team plays a pivotal role in optimizing portfolio performance, financial forecasting, and process automation with leading technology and innovations. We are seeking a forward-thinking Data Scientist to harness the power of agentic AI and machine learning to revolutionize our financial operations. Key Responsibilities Incubate New Use Cases with AI / ML o Rapid experimentation and prototyping (within 10-day lead time, 5-day iterations) of AI / ML solutions o Develop PoCs using Python, Power BI, LLMs, multi-agent frameworks, and automation tools o Create UX prototypes, Git repositories, and host solutions on cloud/on-prem VMs o Deliver pilot updates and next-step plans o Incorporates predictive modeling, statistics, and other analysis techniques for collecting, exploring, interpreting, and extracting insights from structured and unstructured data o Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations, and communicates insights in a clear and effective way to help the organization with better decision making o Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required Maintain and Enhance Existing Use Cases o Ensure 99 percent uptime and reliability of deployed AI / ML solutions o Implement enhancements (UX tweaks, new features, etc.) within 10 days o Optimize Power BI datasets, Power Automate flows, and Teams/SharePoint integrations o Monitor data pipelines, manage cost/access governance, and maintain runbooks o Track and report performance and error alerts Stakeholder Collaboration and Governance o Strong partnership with key stakeholders to frame use cases and drive adoption o Translate business needs into technical solutions and communicate results effectively o Ensure 100 percent compliance with Intel's security and Responsible AI policies Qualifications: Technical Expertise o Core Programming: Advanced Python, ML and GenAI development o AI/ML Specialization: Prompt engineering and agent frameworks, AI agents building, Langchain, Dify o Microsoft Stack Integration: Power BI Desktop/Cloud, Power Automate, Teams/SharePoint integration o Data Engineering: Data Extract/Transform/Load and DBaaS o Infrastructure: Cloud and on-premises VM orchestration o DevOps: Git repository management, monitoring/observability Soft Skills o Experimentation and rapid prototyping methodologies o Storytelling and technical communication o Execution discipline and stakeholder communication o Adaptability, attention to detail, learning agility Business Acumen o Use-case framing and problem definition o Change adoption and value tracking Qualifications o Master's in Computer Science (minimum requirement), o 6+ years' experience in AI/ML and data science roles (minimum requirement) o Good command of verbal and written English (minimum requirement) o Proven track record in prototyping and deploying AI and ML solutions Job Type: Experienced Hire Shift: Shift 1 (China) Primary Location: PRC, Beijing Additional Locations: India, Bangalore, Malaysia, Penang, PRC, Shanghai Business group: Join Intel's Finance Group, a key player in driving strategic business decisions that enhance shareholder value. Our team is dedicated to facilitating change and improvement across finance and the operations we support. As strategic partners, we lead acquisitions and inorganic growth initiatives, managing transactions from ideation to completion while serving as trusted advisors to executive leadership. Additionally, we enhance employee experiences by maintaining Intel sites globally and advancing environmental sustainability efforts. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. Intel’s official careers website. Find your next job and take on projects that shape tomorrow’s technology. Benefits Internships Life at Intel Locations Recruitment Process Discover your place in our world-changing work.

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Responsibilities

The role involves incubating new use cases using AI/ML through rapid experimentation, prototyping solutions with tools like Python, LLMs, and agent frameworks, and delivering pilot updates. Additionally, the Data Scientist will maintain existing solutions, ensuring high uptime, implementing enhancements, and optimizing integrations like Power BI and Power Automate flows.