Data Scientist

Innova Solutions; Las Palmas de Gran Canaria; A distancia; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading company in the pharma industry is looking for a passionate Data Scientist specializing in NLP and Generative AI. The role involves developing and deploying high-impact models, collaborating with engineers and product managers, and ensuring production-readiness of AI systems. The ideal candidate will have strong Python skills and experience with AWS services.

Formación

• Minimum 2 years of industry experience in data science or machine learning.
• Strong background in NLP, LLMs, and generative AI.

Responsabilidades

• Design and develop NLP and generative AI solutions.
• Deploy models to production utilizing AWS services.

Conocimientos

Natural Language Processing

Generative AI

Machine Learning

Python

AWS

Herramientas

LangChain

LlamaIndex

CrewAI

FastAPI

scikit-learn

XGBoost

Descripción del empleo

Job Title: Data Scientist

Job Type: B2B Contract

Duration: Long term

Location: 100% Remote within Spain

Overview

We’re seeking a passionate data scientist with a minimum of 2+ years of experience, specializing in Natural Language Processing (NLP), Generative AI, and traditional machine learning. The candidate should have a proven ability to develop and deploy high-impact, production-grade models. This role involves working across the full machine learning lifecycle, from prototyping to deployment, with a focus on production-readiness, APIs, and scalable architecture. Collaboration with AI engineers, product managers, and domain experts will be essential to develop intelligent systems for the pharma industry.

Responsibilities

1. Design and develop NLP and generative AI solutions using frameworks like LangChain, LlamaIndex, CrewAI, or directly with providers such as OpenAI, Anthropic, HuggingFace.
2. Build and fine-tune traditional ML models (classification, regression, clustering) to support data-driven applications.
3. Create robust and scalable AI pipelines and APIs using Python and FastAPI.
4. Deploy models to production utilizing AWS services such as ECS, Lambda, S3, with attention to CI/CD, observability, and cost optimization.
5. Architect scalable, maintainable, and secure ML systems.

Qualifications

1. Minimum 2 years of industry experience in data science or machine learning.
2. Strong background in NLP, LLMs, and generative AI, with familiarity with both theory and tooling.
3. Experience with modern LLM stacks like LangChain, LlamaIndex, CrewAI, or similar.
4. Proficiency in traditional ML methods using libraries such as scikit-learn, XGBoost, etc.
5. Expert-level Python programming skills, capable of writing clean, maintainable, and testable code beyond notebooks.
6. Experience in exposing models as production-ready APIs using FastAPI or similar frameworks.
7. Strong understanding of AWS services, especially ECS, Lambda, and S3.
8. Experience with MLOps and DevOps practices (e.g., Docker, Terraform, Azure DevOps, Github Actions) is a plus.