We are seeking an experienced Senior Data Scientist to contribute to the design and execution of advanced analytical and machine learning solutions. This exciting role requires a strategic thinker who can link technical decisions to business objectives, mentor teams, and drive high-quality decision-making across cross-functional groups.

Required Qualifications to be successful at this role:

Technical Skills:

• Advanced Python for ML/DL (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).

• Strong background in statistics, experimental design, and causal inference.

• Proven ability to develop and scale complex ML/DL models for production environments.

• Proficiency in ML experimentation and tracking tools (MLflow, W&B, Databricks ML).

• Advanced SQL expertise for large-scale data manipulation and workloads.

• Deep understanding of MLOps workflows (model registry, deployment, monitoring, drift management, retraining).

• Experience leveraging big-data platforms (Spark, Databricks) to optimize model training and scoring.

• Solid knowledge of cloud-based ML platforms such as Azure ML, SageMaker, or Vertex AI.

Soft Skills:

• Ability to evaluate trade-offs and articulate sound technical choices.

• Effectively translate complex technical concepts to non-technical audiences.

• Exceptional mentoring skills to uplift mid/junior engineers and enforce standards and collaborative practices.

• Strong aptitude for breaking down ambiguous challenges into actionable, executable solutions.

• Ownership-minded approach to anticipate and resolve issues while driving long-term platform evolution.

• Advanced proficiency in data visualization and storytelling tailored for executive-level audiences.

• Skilled at establishing and mentoring teams to uphold best practices and technical excellence.

Experience:

• Degree in Mathematics, Computer Science, Machine Learning, or a related field.

• At least 5 years of professional experience in data science environments with proven success in building and architecting production-level data solutions.

• English proficiency (minimum B2 level).

We want to remind you that it is crucial to validate the following points before sharing any candidate:

• Work model: 2 days per week in the office and 3 days at home.

• Work schedule: At Accenture, we work under two different schedules. This work schedule provides 12 additional Compensation Days in addition to the normal holiday days. These are fixed days during national holiday periods (5 days between Christmas and New Year's Eve, 5 days during Easter, and 2 days during Carnival)

• During Winter (From October to May – 8 months) we work 43 hours/week:

• From Monday to Thursday: 09h - 19h (9 hours/day)

• Friday: 09h - 17h (7 Hours/day)

• During Summer (From June to September – 4 months) we work 39 hours/week:

• From Monday to Thursday: 09h - 18h (8 hours/day)

• Friday: 09h - 17h (7 Hours/day)

What can you expect from us?

Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.

100% Remote opportunities

We want you to have the flexibility to work where you feel most comfortable and productive.

International Career

• You can expect professional growth and to be connect with the world.

• We are represented in Portugal, Belgium, Luxembourg, and Denmark.

• And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)

Extra Benefits & Perks

If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!

As a plus, we provide Health and Life Insurance.