AI Automation & Reporting Specialist (Remote 3mo/yr)

Dow Jones & Company, Inc.; Barcelona; Hybrid; EUR 45,000 - 60,000; Full time

Benefits offered by this job

Comprehensive Healthcare Plans for you

Extra paid Time Off (30 days)

Remote work up to 3 months/year

Meal benefit with Pluxee

Retirement Plans and matching

Well-being Resources

Family Care Benefits

Subscription Discounts

Employee Referral Program

Job summary

Dow Jones is seeking an AI Solutions Specialist to design, deploy, and maintain AI-driven workflows across risk and research teams. You will build data pipelines, apply NLP, and integrate LLM-based solutions with cloud services to automate reporting and decision-support.

The role emphasizes collaboration with product and engineering, experience with Python ML stacks, and delivering reproducible models and scalable pipelines in AWS/GCP environments.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (CS/DS/Engineering).
• 3+ years of data science or applied ML experience with modeling and pipeline development.
• Strong programming in Python with ML libraries and AI frameworks.
• Experience with NLP, LLM APIs and data enrichment for workflow automation.
• Ability to design, build, deploy, and maintain AI-driven solutions in cloud environments.

Responsibilities

• Own development, deployment, and maintenance of ML models and LLM-based solutions.
• Build and manage robust data pipelines for high-volume processing and model training.
• Collaborate with business, product, and engineering teams to translate requirements into technical solutions.
• Leverage cloud APIs and external data sources for enrichment and integration.
• Document workflows, validate results, and ensure reproducibility and quality.

Skills

Python

ML

NLP

LLM APIs

Data Analysis

Education

Bachelor’s or Master’s in CS/Data Science/Engineering

Tools

scikit-learn

XGBoost

TensorFlow

PyTorch

LangChain

LlamaIndex

SQL

Git

AWS

GCP

Job description

Dow Jones is seeking an AI Solutions Specialist to design, deploy, and maintain AI-driven workflows across risk and research teams. You will build data pipelines, apply NLP, and integrate LLM-based solutions with cloud services to automate reporting and decision-support.

The role emphasizes collaboration with product and engineering, experience with Python ML stacks, and delivering reproducible models and scalable pipelines in AWS/GCP environments.