Data Scientist

Capgemini; Lisboa; Presencial; EUR 40 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health and life insurance

Hybrid work

Referral program with bonuses

Resumo da oferta

Capgemini in Lisbon seeks a Data Scientist to join agile squads, building and deploying ML models in production and developing scalable data pipelines on GCP to deliver business impact.

You will collaborate with product owners to define roadmaps, apply advanced techniques such as NLP and causal inference, and communicate results clearly to technical and non-technical stakeholders.

Qualificações

• Degree in a quantitative field.
• 3+ years of Data Science/ML in production.
• Strong programming and CS fundamentals.
• Experience with ML frameworks and model deployment.
• Excellent communication with technical and business stakeholders.

Responsabilidades

• Develop and deploy ML models in production.
• Build scalable data pipelines on GCP.
• Collaborate with product owners to define roadmaps.
• Ensure model performance and business impact.
• Translate complex analyses for non-technical audiences.

Conhecimentos

Programming fundamentals

ML frameworks

Communication skills

Problem solving

Adaptability

Formação académica

Degree in quantitative field

Ferramentas

GCP

SQL

Git

Descrição da oferta de emprego

# Data ScientistLisboa - Expo, Lisboa - ColomboApply for this job* Permanent* Experienced Professionals* Data & AI* ID 466908-en\_GB##CAPGEMINI ENGINEERINGAt Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.##YOUR ROLE* Work within agile, multidisciplinary squads to develop and evolve Data Science products with direct business impact (customer value, churn, retention, marketing optimization)* Collaborate with Product Owners and stakeholders to define product vision and roadmap leveraging ML/AI* Design and plan solutions (epics, user stories, tasks)* Build scalable data pipelines (GCP) and develop, deploy, and monitor ML models in production* Ensure performance, reliability, and business impact of ML/AI systems* Apply advanced techniques such as causal inference, probabilistic modeling, simulation, and NLP on real-world dataYOUR PROFILE* Degree in a quantitative field (e.g., Engineering, Mathematics, Statistics)* 3+ years of experience in Data Science / ML roles in production environments* Strong programming and computer science fundamentals* Hands-on experience with ML frameworks and model lifecycle (build, deploy, monitor)* Experience with databases and data extraction/analysis* Strong communication skills with both technical and business stakeholders* Critical thinking, intellectual curiosity, and impact-driven mindset* Ability to adapt and manage priorities in fast-paced environments##WHAT YOU’LL LOVE ABOUT WORKING HERE* Join a multicultural and inclusive team environment.* Enjoy a supportive atmosphere promoting work life balance.* Hybrid work.* Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.* Access valuable training and certifications in cutting edge technologies.* Engage in exciting national and international projects.* Health and life insurance.* Referral program with bonuses for talent recommendations.* Great office locations.ABOUT CAPGEMINICapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.