Thomson Reuters

Legal

ProductAISolutionsSpecialist

$11000–17000k ~AI est. Buenos Aires, Argentina FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Product AI Solutions Specialist at Thomson Reuters. Skills: Data analytics, Process automation, AI-driven tools. Design automation solutions. Implement automation solutions”

What You'll Achieve.

Improve efficiency; Enhance decision-making; Drive innovation

Industry & Context.

Legal
Problems you'll solve

Problem-solving mindset

What They're Looking For.

Must Have

Advanced student in Business, Engineering, Computer Science, Data Analytics, or related fields, Experience or involvement in data analysis, automation, or process improvement projects, Advanced Excel skills, Experience with reporting tools such as Power BI (or similar)

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

What You'll Do.

Design automation solutions

Implement automation solutions

Support AI tool development

Support AI tool deployment

Identify automation opportunities

Identify continuous improvement opportunities

Analyze business data

Provide actionable insights

Support production planning

Collaborate with Print Plant teams

Improve visibility of production processes

Improve resource utilization

Contribute to models comparing planned vs. actual production

Support Sales teams with data analysis

Consolidate commercial information

Structure commercial information

Generate insights to improve planning

Generate insights to improve commercial decision-making

Integrate data from multiple sources

Promote process standardization

Promote data flow standardization

Work closely with Editorial teams

Work closely with Operations teams

Work closely with Sales teams

Work closely with Finance teams

Work closely with Production teams

Act as a bridge between business needs and

Support adoption of new tools

Support implementation of new tools

Support adoption of new processes

Support implementation of new processes

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Business needs and technical solutions

Full Job Description

We are seeking a Product AI Solutions Specialist to support the optimization of editorial, commercial, and production processes through data analytics and automation. This role combines analytical, technical, and operational capabilities to improve efficiency, enhance decision-making, and drive innovation across Editorial Operations, Sales support, and Print Plant activities. **ABOUT THE ROLE** **1\. AI & Process Automation** * Design and implement automation solutions to improve editorial and operational workflows. * Support the development and deployment of AI-driven tools to optimize internal processes and reduce manual effort. * Identify opportunities for process automation and continuous improvement. **2\. Data Analysis & Reporting** * Develop and maintain dashboards and reports to track operational and commercial performance. * Analyze business data to identify trends, inefficiencies, and opportunities. * Provide actionable insights to support data-driven decision-making. **3\. Operational & Production Optimization** * Support production planning through analysis of capacity, workload, and performance metrics. * Collaborate with Print Plant teams to improve visibility of production processes and resource utilization. * Contribute to models comparing planned vs. actual production performance. **4\. Sales & Commercial Support** * Support Sales teams with data analysis related to demand, customer behavior, and performance. * Consolidate and structure commercial information (quotes, orders, production output). * Generate insights to improve planning and commercial decision-making. **5\. Data Integration & Process Standardization** * Integrate data from multiple sources (e.g., spreadsheets, internal systems, operational inputs). * Structure and maintain datasets ensuring accuracy, traceability, and usability. * Promote process and data flow standardization across teams. **6\. Cross-functional Collaboration** * Work closely with Editorial, Operations, Sales, Finance

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