Data scientist

KCS IT; Lisboa; Hybrid; EUR 45,000 - 65,000; Full time

Benefits offered by this job

Free training programs

International Benelux projects

Hybrid work model

Job summary

KCS IT in Lisbon is seeking an exceptional Data Scientist for a hybrid role. You will engineer and deploy agentic AI solutions, work with RAG techniques, vector databases, and cloud ML platforms, and collaborate with cross‑functional teams across Benelux and Portugal.

The ideal candidate has 4+ years in ML/AI, strong Python and NLP skills, and excellent communication in English and French. Join a diverse, merit-first environment with continuous training, international projects, and flexible work

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 3+ years of hands-on experience in machine learning and AI development.
• Strong experience in developing and deploying agentic solutions.
• Usage Interne / Internal Use Proficiency in implementing RAG techniques.
• Experience with vector databases.
• Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face.
• Deep understanding of NLP techniques and architectures.
• Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering and neural networks.
• Familiarity with cloud platforms (GCP, AWS, or Azure) for AI/ML deployments.
• Knowledge of MLOps practices and tools.
• Strong problem-solving and analytical skills.
• Effective communication in public and teamwork skills.
• Experience with open-source and commercial LLMs.
• Nice-to-Have Knowledge of reinforcement learning from human feedback (RLHF).
• Strong expertise in Generative AI (model training, fine-tuning, and deployment).
• Understanding of ethical AI principles and model interpretability.
• Fluency in English (C1 level or higher) is mandatory.
• Fluency in French.

Skills

Python programming

NLP techniques

Problem solving

Communication

Teamwork

English proficiency

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field

Tools

TensorFlow

PyTorch

Hugging Face

Vector databases

MLOps tools

GCP

AWS

Azure

Open-source LLMs

Job description

Descrição da Função

We’re looking for the special, unique and amazing YOU! @ KCS IT, we look for the ones that stands out, for those that always wants to be better and fight for it, and for those who has the same values that we do: dedication, energy, integrity, transparency, flexibility, trust, honesty, hard work, proactivity, team work. At KCS we stand for equality and value diversity. We create a safe, diverse environment where opportunities are equal for everyone! We do not discriminate based on age, ethnicity, sexual orientation, gender, disability or any factor other than merit. All applications with skills for the position are welcome! We are looking for an Amazing: Data scientist Seniority: Mid-level (4+ years) Type of position: Hybrid model in Lisbon. Candidates need to be already living in Portugal! The amazing you, will have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• 3+ years of hands-on experience in machine learning and AI development.
• Strong experience in developing and deploying agentic solutions.
• Usage Interne / Internal Use Proficiency in implementing RAG techniques.
• Experience with vector databases.
• Advanced programming skills in Python with frameworks like TensorFlow, PyTorch, and Hugging Face.
• Deep understanding of NLP techniques and architectures.
• Practical experience with traditional AI/ML methods such as decision trees, SVMs, clustering and neural networks.
• Familiarity with cloud platforms (GCP, AWS, or Azure) for AI/ML deployments.
• Knowledge of MLOps practices and tools.
• Strong problem-solving and analytical skills.
• Effective communication in public and teamwork skills.
• Experience with open-source and commercial LLMs.
• Nice-to-Have Knowledge of reinforcement learning from human feedback (RLHF).
• Strong expertise in Generative AI (model training, fine-tuning, and deployment).
• Understanding of ethical AI principles and model interpretability.
• Fluency in English (C1 level or higher) is mandatory.
• Fluency in French.

Why should you become part of our family?

• You can develop a career that fits you : your career development is personalized, taking in consideration your needs and goals from a short to long term
• Interesting Challenges Ahead : you can work for several clients from different sectors of activity
• Free training programs : Our training and certification programs in languages, tech, behavior and business will help you to reach your full potential faster
• International projects in Benelux: you can gain international experience in Benelux and balance a new way of living with work
• Type of projects (depending on the project you might find one of this types of projects):
  • In hybrid Systems: Is important to balance work with socialization, that´s why a hybrid system works for us and for you
  • Full Remote projects: If you want to work while you enjoy the comfort of your home
  • Full Onsite projects: if you prefere the company of your colleagues!
  • Take care of your well-being: Enjoy our free nutrition, psychology, general medicine appointments and our yoga and personal training days… all remote

Who are we? Founded in 2008 and based in Lisbon, KCS IT is a consulting company in the field of Information Technology and Services, focused on creating value for our clients through three main areas: Consulting, Outsourcing, Inovation and Training. Our commitment to talent development is unmistakable in the recent opening of the Porto, Leiria and Azores hubs, which aims to develop technology for the national and international market. Since 2018 we have been elected one of the 10 major companies in the “Index of Excellence”, an initiative that aims to reward organizations that invest most in the development and satisfaction of their employees. At KCS IT we defend equality and value diversity. We create a safe, diverse environment where opportunities are equal for all employees! We do not discriminate based on age, ethnicity, sexual orientation, gender, disability or any factor other than merit. All applications with skills for the role are welcome!