Data Scientist

WhatJobs; Alicante; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology solutions provider is seeking an experienced data scientist with expertise in NLP and generative AI. The ideal candidate will design and develop production-ready models, collaborate with cross-functional teams, and contribute to innovative AI projects within the pharma industry. The role demands strong technical skills in Python, AWS services, and a background in machine learning, ensuring impactful contributions to advanced AI systems.

Formación

• 2+ years of industry experience in data science or machine learning.
• Strong background in NLP and AI solutions.
• Expert in Python programming, capable of writing maintainable code.

Responsabilidades

• Design and develop NLP and generative AI solutions.
• Build and fine-tune traditional ML models.
• Deploy models using AWS services and manage APIs.

Conocimientos

Natural Language Processing

Generative AI

Machine Learning

Python

AWS

Educación

Bachelor's degree in Computer Science or related field

Herramientas

scikit-learn

XGBoost

FastAPI

Docker

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.
• Use critical thinking to analyze complex problems, identify edge cases, and propose pragmatic, data-driven solutions.
• Think creatively and outside the box to explore new ML techniques, tools, or approaches that push the boundaries of what we can do.
• Work closely with cross-functional teams to turn ambiguous business problems into well-scoped, technically sound AI solutions.
• Contribute to a culture of technical excellence and innovation in a fast-moving AI / ML team.

What you bring :

• 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).
• Proven ability in system architecture, problem-solving, and independently leading projects from concept to deployment.
• Comfortable working independently in a fast-paced, collaborative, remote-first environment .

A little about us :

Innova Solutions is a diverse and award-winning global technology services partner. We provide our clients with strategic technology, talent, and business transformation solutions, enabling them to be leaders in their field.

• Founded in 1998, headquartered in Atlanta (Duluth), Georgia.
• Employs over 50,000 professionals worldwide, with annual revenue approaching $3.0B.
• Delivers strategic technology and business transformation solutions globally.
• Operates through global delivery centers across North America, Asia, and Europe.
• Provides services for data center migration and workload development for cloud service providers.

Awardee of prestigious recognitions including :

• Women’s Choice Awards - Best Companies to Work for Women & Millennials, 2024
• Forbes, America’s Best Temporary Staffing and Best Professional Recruiting Firms, 2023
• American Best in Business, Globee Awards, Healthcare Vulnerability Technology Solutions, 2023
• Global Health & Pharma, Best Full Service Workforce Lifecycle Management Enterprise, 2023
• Received 3 SBU Leadership in Business Awards
• Stevie International Business Awards, Denials Remediation Healthcare Technology Solutions, 2023