Data Scientist

Innova Solutions; Cádiz; Presencial; EUR 40.000 - 65.000; Jornada completa

Descripción de la vacante

A leading company in the pharma industry seeks a data scientist with a passion for Natural Language Processing and AI. In this hands-on role, you will be responsible for developing and deploying scalable AI solutions, collaborating closely with engineers and product managers to drive impactful insights.

Formación

• Minimum 2 years industry experience in data science or machine learning.
• Strong background in NLP and LLMs.
• Expert-level Python programming skills.

Responsabilidades

• Design and develop NLP and generative AI solutions using LLM frameworks.
• Build and fine-tune traditional ML models.
• Deploy models to production using AWS services.

Conocimientos

Natural Language Processing

Generative AI

Machine Learning

Python

MLOps

Herramientas

FastAPI

AWS

scikit-learn

XGBoost

Descripción del empleo

We’re looking for a data scientist (minimum 2+ years of experience) who is passionate about Natural Language Processing (NLP), Generative AI, and traditional machine learning—and who knows how to ship high-impact, production-grade models. This is a hands-on role where you’ll work across the full ML lifecycle : from prototyping to deployment, with a strong emphasis on production-readiness, APIs, and scalable architecture.

You’ll collaborate with AI engineers, product managers, and domain experts to develop intelligent systems that power next-generation insights for the pharma industry.

What You’ll Do

• Design and develop NLP and generative AI solutions using LLM frameworks like LangChain, LlamaIndex, CrewAI, or direct model provider SDKs / APIs (e.g., OpenAI, Anthropic, HuggingFace).
• Build and fine-tune traditional ML models (e.g., classification, regression, clustering) to support data-driven applications.
• Create robust and scalable AI pipelines and APIs using Python and FastAPI.
• Deploy models to production using AWS services such as ECS, Lambda, and S3, with attention to CI / CD, observability, and cost-effectiveness.
• Apply strong system design principles to architect scalable, maintainable, and secure ML systems.

Who You Are

• Minimum 2 years of industry experience in data science or machine learning.
• Strong background in NLP, LLMs, and generative AI—comfortable with both the theory and tooling.
• Familiarity with modern LLM stacks such as LangChain, LlamaIndex, CrewAI, or similar.
• Skilled in traditional ML methods using libraries like scikit-learn, XGBoost, etc.
• Expert-level Python programmer (beyond notebooks)—you write clean, maintainable, testable code.
• Experience exposing models as production-ready APIs using FastAPI (or similar frameworks).
• Strong understanding of AWS services—especially ECS, Lambda, and S3.
• Experience with MLOps and DevOps best practices is a plus (e.g., Docker, Terraform, Azure DevOps, Github Actions).

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