Hybrid Data Scientist: AI/ML for Production Impact Barcelona

Huxley; Barcelona; Hybrid; EUR 55,000 - 75,000; Full time

Job summary

Huxley in Barcelona is seeking a Data Scientist to join an established AI team. You will develop and deploy ML and AI solutions with direct business impact, working closely with stakeholders.

The role covers PoC design, predictive modeling for forecasting and optimization, and deployment across cloud and big data environments. You will collaborate with ML engineers and analytics teams in a hybrid work model (50% onsite) for a long-term opportunity.

Qualifications

• 3+ years of experience developing AI/ML solutions with Python.
• Strong knowledge of Machine Learning and Deep Learning.
• Hands-on experience with TensorFlow and/or PyTorch.
• Experience delivering end-to-end ML projects from PoC to production.
• Strong analytical and problem-solving skills.

Responsibilities

• Develop and deploy ML/AI solutions in production environments.
• Collaborate with business stakeholders to identify data-driven opportunities.
• Design and develop PoCs to validate new initiatives and use cases.
• Build predictive models for forecasting, optimization, and decision-making.
• Work with Data Scientists, ML Engineers and Analytics teams to deliver scalable solutions.
• Utilize cloud and Big Data technologies to process large data and improve model performance.
• Contribute to the full project lifecycle from research to deployment and maintenance.

Skills

Python

Machine Learning

Deep Learning

TensorFlow

PyTorch

End-to-end ML

Communication

Stakeholder collaboration

Problem solving

Architecture design

Education

Bachelor's degree in Computer Science / Data Science / Mathematics / Engineering

Tools

TensorFlow

PyTorch

AWS (S3/Lambda)

Databricks

Airflow

Jenkins / CI/CD

MLOps

Job description

Huxley in Barcelona is seeking a Data Scientist to join an established AI team. You will develop and deploy ML and AI solutions with direct business impact, working closely with stakeholders.

The role covers PoC design, predictive modeling for forecasting and optimization, and deployment across cloud and big data environments. You will collaborate with ML engineers and analytics teams in a hybrid work model (50% onsite) for a long-term opportunity.