Senior Data Scientist

Descrição da Função

Who are we

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at .

Role Overview

We are looking for a Senior Data Scientist to join one of our major clients, a leading technology solutions provider specialised in advanced digital services for telecom and enterprise environments.

If you want to work on innovative AI-driven solutions, contribute to large-scale digital transformation, and collaborate with highly skilled engineering teams, this is the ideal challenge for your career.

Come energize your future with us!

Location: Lisbon (hybrid)

What you will do

• Develop advanced NLP and LLM-based solutions, including text preprocessing, embeddings, transformers and fine tuned models.

• Build and optimize machine learning and deep learning models for real-world applications such as chatbots, sentiment analysis, recommendation engines, multimodal systems, and forecasting.

• Design, implement and maintain cloud-based ML pipelines using services such as AWS SageMaker, Azure ML or Vertex AI.

• Apply MLOps best practices, including model versioning, CI/CD, monitoring, reproducibility and automated deployment.

• Collaborate with cross-functional teams (engineering, product, architecture) to translate business requirements into scalable AI solutions.

What you are like

• Degree in Computer Science, Data Science, Engineering or related field.

• 5+ years of experience as a Data Scientist, ML Engineer or similar.

• Strong knowledge of Python and key libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow).

• Experience with NLP (tokenization, embeddings, classical models, transformers, LLM fine tuning).

• Solid understanding of Deep Learning architectures (CNNs, RNNs, LSTMs, Transformers).

• Experience with cloud environments (AWS, Azure or GCP) and ML services (SageMaker, Vertex AI, Azure ML).

• Knowledge of MLOps tools such as Docker, Kubernetes, MLflow, DVC and CI/CD pipelines.

• Additional experience with multimodal models, recommender systems, time series or reinforcement learning is considered a strong plus.

Why join us

• Work on challenging projects for big clients

• Learn more about emerging technologies

• Possibility of working remotely

• Design your career plan

• Access to continuous training and certifications

• Evolve through our internal mobility program

• and much more!

Observações

Lisboa (Portugal)