Data Scientist

MSD Portugal; Oeiras; Hybrid; EUR 42,000 - 64,000; Full time

Job summary

MSD Portugal is seeking a Data Scientist to turn data and AI into measurable business value. You will partner with cross-functional teams to deliver AI-enabled solutions and prototypes that drive decision-making and patient outcomes.

The role requires hands-on experience across the analytics lifecycle, strong Python/R and SQL skills, and fluency in Portuguese and English in a hybrid work environment.

Qualifications

• 3+ years of Data Science, Advanced Analytics, ML, AI, BI, or related fields.
• Hands-on experience across end-to-end analytics lifecycle including data prep, feature engineering, modeling and deployment.
• Experience with Generative AI technologies, LLMs, AI copilots, and RAG.
• Strong programming skills in Python and/or R, with SQL and data science libraries.

Responsibilities

• Partner with business teams to identify and deliver data science, segmentation and AI use cases with measurable value.
• Design, develop, and deploy analytics, ML, GenAI, and predictive solutions for key challenges.
• Translate business needs into scalable data products, insights, models, and AI-enabled solutions.
• Promote AI adoption, educate stakeholders, facilitate experimentation, and drive responsible AI.
• Develop prototypes and MVPs to accelerate innovation and validate opportunities.
• Leverage modern data platforms and cloud technologies to improve processes across the organization.
• Collaborate with data engineers and business leaders to ensure sustainable, scalable solutions.
• Communicate findings clearly to technical and non-technical audiences.
• Foster continuous learning and experimentation across the organization.
• Ensure compliance with data governance, privacy, security, and responsible AI standards.

Skills

Data Analysis

Data-Driven Decision Making

Data Engineering

Data Science

Management Consulting

Python

Education

Degree in a quantitative field

Tools

Azure

Databricks

AWS

GCP

SQL

Job description

Job Description

Mindset

We are seeking a Data Scientist with a growth mindset and passion for turning data and AI into measurable business value. This individual thrives in cross-functional environments, acts as a trusted advisor to business stakeholders, and champions a culture of innovation, experimentation, and continuous learning.

• Passionate about using data science, Artificial intelligence and emerging technologies to improve decision-making, customer experiences, and business outcomes.
• Acts as a catalyst for AI adoption, helping teams identify opportunities, build capabilities, and embed data-driven ways of working.
• Fully engaged with the Company's mission, demonstrating strong ethics, curiosity, collaboration, and commitment to patient and business impact.

Key Responsibilities

• Partner with business teams to identify, prioritize, and deliver data science, segmentation and AI use cases that generate measurable business value.
• Design, develop, and deploy advanced analytics, machine learning, GenAI, and predictive solutions to solve critical business challenges.
• Translate complex business needs into scalable data products, insights, models, and AI-enabled solutions.
• Act as an AI enabler by promoting adoption of AI technologies, educating stakeholders, facilitating experimentation, and driving responsible AI practices.
• Develop prototypes, proofs of concept, and minimum viable products (MVPs) to accelerate innovation and validate business opportunities.
• Leverage modern data platforms, cloud technologies, machine learning frameworks, and generative AI capabilities to improve efficiency and effectiveness across business processes.
• Collaborate with data engineers, data teams, commercial functions, and business leaders to ensure solutions are sustainable, scalable, and aligned with strategic priorities.
• Communicate analytical findings and AI opportunities clearly to both technical and non-technical audiences, enabling informed decision-making.
• Foster a culture of continuous learning, knowledge sharing, experimentation, and innovation across the organization.
• Ensure compliance with data governance, privacy, security, and responsible AI standards.

Basic Qualifications

• 3+ years of experience in Data Science, Advanced Analytics, Machine Learning, Artificial Intelligence, Business Intelligence, or related fields.
• Hands-on experience across the end-to-end analytics lifecycle, including data exploration, preparation, feature engineering, model development, validation, deployment, monitoring, and value measurement.
• Experience with Generative AI technologies, large language models (LLMs), AI copilots, AI agents, prompt engineering, retrieval-augmented generation (RAG), or similar emerging AI capabilities.
• Strong programming skills in Python and/or R, with experience in SQL and modern data science frameworks and libraries.
• Experience translating business opportunities into analytical and AI solutions while managing stakeholder expectations and driving adoption.
• Consulting, communication, and change management skills, with the ability to influence stakeholders across different levels of the organization.
• Experience identifying, evaluating, and prioritizing innovation opportunities using data automation and AI technologies.
• Knowledge of cloud analytics environments and AI platforms (Azure, Databricks, AWS, GCP, or equivalent) is preferred.
• Ability to work in agile, cross-functional teams and lead initiatives that drive organizational change and capability building.
• Fluency in Portuguese and English, both written and spoken.
• Degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field.

Required Skills

Data Analysis, Data-Driven Decision Making, Data Engineering, Data Science, Management Consulting, Python (Programming Language)

Employee Status

Regular

Flexible Work Arrangements

Hybrid

Job Posting End Date

10/20/2026

A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID

R421510