Senior Data Scientists | Hub Tech

Lisbon, Portugal; Porto, Portugal; Coimbra, Portugal; Braga, Portugal
Senior (4-6 Years)
Hybrid
English Required Portuguese Required Not Accepting Candidates Living Abroad
New opportunity for a new international Tech Hub emerging from Lisbon.
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:
    • 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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