Data Scientist
Lisbon, PT
Digital Acceleration & AI area within the Business Platform at EDP Customer Solutions in DGU drives digital acceleration by leveraging advanced data analytics, artificial intelligence, and machine learning to optimize business processes, enhance customer experiences, and identify/develop innovative energy solutions that support sustainable growth.
EDP is a global energy group present in around 30 markets with a particular emphasis on renewable energies. With more than 45 years of experience, we have been consolidating a relevant presence on the world energy scene based on the commitment to be all-green by 2030, leading the energy transition. With more than 13,000 employees around the world, we are committed to using our energy and heart to drive a better tomorrow.
What you will do:
As a Data Scientist, you will develop AI and machine learning models to deliver data-driven solutions that help EDP CS stay ahead in the competitive energy market. Using your expertise in GPT, Azure, MLOps, and Databricks, you will collaborate with cross-functional teams to ensure the scalability and impact of these solutions across international markets.
Your work will play a key role in accelerating AI adoption and enabling smarter decision-making, shaping the future of energy solutions at EDP CS. Also:
- Be responsible for identifying, designing, accompanying, developing, and deploying AI-based solutions using various techniques to address business challenges and drive innovation in commercial energy solutions;
- Analyze and understand business needs, collaborating with cross-functional teams to align data strategies with business objectives, optimize processes, and enhance customer experiences;
- Additionally, you will manage the full lifecycle of AI models, ensuring scalability and integration with platforms like Azure and Databricks to support EDP CS's strategic goals.
Employment type: Full-Time
Work site: Hybrid Model
Work Place: Lisbon, Bilbao or Madrid
What are we looking for:
- Bachelor's Computer Science, Mathematics, Statistics, Data Science, Artificial Intelligence, or a related field;
- A master’s or PhD in Data Science, Machine Learning, or Software Engineering is highly valued;
- Professional experience between 3 - 8 years in roles related to Data Science or Machine Learning Engineering;
- Proven track record in developing and deploying advanced Machine Learning and Deep Learning models in production environments;
- Hands-on experience in designing and implementing solutions using GPT or Natural Language Processing (NLP) technologies;
- Demonstrated expertise in MLOps: building pipelines, implementing continuous integration, and automating processes for model training and deployment;
- Tools and Technologies:
- Programming languages: Python, R, and common frameworks such as TensorFlow, Keras, Pytorch, Hugging Face, Shiny.
- Familiarity with OpenAI models such as Whisper, GPT, Codex…, is required for developing AI-based solutions.
- Cloud platforms: Advanced knowledge of Azure (Azure ML, Azure Data Factory, Azure Synapse), valuable AWS, or GCP.
- Data infrastructure: Expertise with Databricks, Spark, and relational/non-relational databases.
- Proven experience with foundational models and generative AI tools like OpenAI GPT, ChatGPT, and their integrations
- MLOps: Familiarity with tools like MLflow, DVC, and orchestrators like Airflow or Kubeflow.
- Data management: Skilled in data cleaning, transformation, and preparation using tools like Pandas, PySpark, or SQL.
- Good security practices in code (using key vaults and protecting sensitive variables such as API keys)
- Extensive use of Azure Machine Learning, Databricks, or similar cloud-based solutions;
- Active involvement in collaborative projects with cross-functional teams, including engineers and business stakeholders;
- Critical thinking and problem-solving; Teamwork; Results-oriented; Adaptability and continuous learning; Project management; Other skills required;
- Excellent written and spoken English is needed. Additional languages are a plus.
More than academic knowledge and technical skills, we are looking for ambitious people who are enthusiastic about the future and who bring human skills aligned with our purpose.
Equal opportunities for all
Our vision is that each person combines their unique characteristics and experiences to fulfill our mission of creating new energy for the planet. We are an inclusive employer, ensuring all candidates are treated fairly throughout the recruitment process. We welcome and value all people, and we are committed to fostering a sense of belonging for each person who is part of the EDP group.
Need more reasons to apply?
As a top employer we:
- Empower our employees through a positive and innovative work environment that promotes collaboration and agile decision-making;
- Respect and value each person, providing a flexible, healthy, and inclusive workplace with a range of attractive benefits;
- Provide a meaningful work experience and prepare our people for future challenges through different opportunities for development and internal mobility;
Our efforts have resulted in several distinctions over time, highlighting the EDP group's strong positioning and its dedication and commitment to attracting and retaining the best talent:
- Top employer certification by Top Employers Institute
- Part of the Bloomberg Gender-Equality Index
- Global certification as a family-responsible company by Fundación Másfamília
- Top 100 Workplaces by Houston Chronicle
Discover our tips to enhance your performance during the recruitment process and apply until 05/12/2024 if you think you are the right fit for this opportunity.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs AWS Azure ChatGPT Codex Computer Science Data Analytics Databricks Data management Deep Learning Engineering GCP Generative AI GPT Keras Kubeflow Machine Learning Mathematics MLFlow ML models MLOps Model training NLP OpenAI Pandas PhD Pipelines PySpark Python PyTorch R RDBMS Security Spark SQL Statistics TensorFlow
Perks/benefits: Career development
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