Data Scientist | Mid | Hub Tech

Lisbon, Portugal
Mid-level (2-3 Years)
Hybrid
English Required Not Accepting Candidates Living Abroad
New opportunity for a new international Tech Hub emerging from Lisbon.
We’re looking for a Mid Data Scientist ready to make a difference by crafting impactful data-driven solutions. This dynamic role offers the chance to work closely with diverse teams, developing analytical and machine learning models that create measurable business value. 
Required Qualifications to be successful at this role:
Technical Skills:
  • Strong knowledge of Python (NumPy, pandas, scikit-learn; with basics of PyTorch/TensorFlow).
  • Solid experience in Exploratory Data Analysis (EDA) and feature engineering.
  • Strong foundation in statistics and probability (hypothesis testing, inference, distributions).
  • Proven experience building and evaluating supervised and unsupervised ML models, including tuning and validation.
  • Knowledge of ML experimentation tools (MLflow, W&B, Databricks ML).
  • Proficient in SQL for data analysis and querying.
  • Understanding of model evaluation and validation strategies (cross-validation, metrics, overfitting).
  • Basic familiarity with cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
  • Experienced in data visualization using Matplotlib, Seaborn, Plotly, as well as BI tools like Power BI or Tableau.
  • Understanding of MLOps fundamentals (model registry, versioning, deployment lifecycle).
Soft Skills:
  • Exceptional analytical thinking and problem-solving capabilities.
  • Ability to clearly explain technical insights to technical and non-technical stakeholders.
  • Collaborative mindset to ensure integration across multiple Data teams.
  • Structured and value-oriented approach to problem-solving.
  • Adaptable to new data, requirements, and project needs, ensuring appropriate solutions are used in varying scenarios.
  • Takes full ownership of the analytical lifecycle and ensures the quality and reliability of models delivered.
  • Proactive communication skills with the ability to simplify technical concepts for diverse audiences.
Experience:
  • Degree in Mathematics, Computer Science, Machine Learning, or a related field.
  • At least 3-5 years of professional experience in data science environments, building and deploying production-level models.
  • 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:
    • Friday: 09h - 17h (7 Hours/day)
    • From Monday to Thursday: 09h - 19h (9 hours/day)
  • During Summer (From June to September – 4 months) we work 39 hours/week:
    • Friday: 09h - 17h (7 Hours/day)
    • From Monday to Thursday: 09h - 18h (8 hours/day)
We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

What we offer:

  • A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
  • A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
  • An empowering and respectful work culture enriched with social and learning events.
  • A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.
At KWAN, they make sure that I feel comfortable with the client I’m working for and that what I’m doing aligns with my career aspirations.
Luis Caldeira, DevOps @ KWAN
At KWAN, I’m given the space to be myself and do what I love. I have control over the projects I work on, as well as the direction of my career.
Pedro Fonseca, Front End Developer @ KWAN
I see my People Experience Partner as someone who is always available to provide me with motivation and constant feedback, which helps me be sure that I am in the right place.
Josimar dos Reis, Software Developer @ KWAN
I know that I’ve contributed to the growth of a company that truly values a “people first culture”, because my ideas, experiences, and individuality were always appreciated.
João Nascimento, Software Developer (KWAN Alumni)
My two years at KWAN were an incredible experience! From the start, I was welcomed into a warm and collaborative environment where I felt truly supported.
Laís Ortiz, Software Developer @ (KWAN Alumni)
Grab this opportunity, apply now!

What You Can Expect as a KWANer

Respect isn’t optional here

You’re trusted to deliver and supported to speak up.

Dedicated People Experience Partner

Someone accountable for your growth, not your allocation.

Continuous learning, built in

Learning that keeps pace with the systems you build.

Recognition that’s visible

Your impact doesn’t go unnoticed. Through our Rocket Points System, we constantly recognize your contributions.

A culture you can feel

From movie and quiz nights to dinners and our annual summer gathering, we don’t just work together - we build real connections.

Flexible spaces to work your way

Remote-first, with physical hubs when you want connection.

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