Data Science Modeller | Statistical Model Developer

Empowered by our motto, "Making Data Matter", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data.

We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.

With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.

Job Summary 

Keyrus is looking for a Data Science Modeller to develop robust, scalable models and transform them into production-ready solutions that support research, development, and business decision-making. 

This role combines deep statistical expertise with strong engineering capabilities and a passion for delivering high-impact data science solutions.

You will collaborate with cross-functional stakeholders to design, build, and deploy machine learning and statistical models in real-world environments. 

• Note: All applications/CV’s must be submitted in English.
• It is a full remote role based in Portugal. 
• Starting date: October 2025

Key Responsibilities

• Translate complex scientific or business problems into well-scoped modelling objectives and technical requirements in partnership with domain experts.
• Develop end-to-end modelling pipelines, from data wrangling and preprocessing to model training, validation, and deployment.
• Design and implement machine learning and statistical models—supervised, unsupervised, and semi-supervised—with a focus on transparency, robustness, and interpretability.
• Deploy models into production environments using APIs, dashboards, web applications, or integrated components.
• Validate models rigorously via cross-validation, sensitivity testing, and stress testing to ensure reliability.
• Create comprehensive model documentation, including methodologies, assumptions, validation results, and user guidance.
• Implement monitoring frameworks to track model performance, detect data drift, and trigger retraining workflows.
• Apply MLOps and DevOps principles to automate deployment, versioning, and testing pipelines.
• Utilise generative AI and large language models (LLMs) to enhance automation, documentation, or modelling capabilities.
• Contribute to innovation initiatives and business transformation projects as a subject matter expert in modelling and AI.

Requirements for the role 

• Bachelor’s degree (or equivalent) in a quantitative discipline; postgraduate degree preferred.
• Advanced proficiency in Python and R, including object-oriented programming, data science libraries (e.g., scikit-learn, tidyverse), and scripting for deployment.
• Deep knowledge of statistical modelling, machine learning methods, and algorithm development.
• Hands-on experience with DevOps and MLOps tools and practices (CI/CD, model monitoring, cloud-native deployment).
• Familiarity with SQL and NoSQL databases and handling structured/unstructured data.
• Experience with modern infrastructure and version control systems (e.g., Git, GitHub) for collaborative development.
• Exposure to or experience using generative AI technologies (e.g., LLMs) in applied projects.
• Experience in the pharmaceutical or healthcare domain is a strong advantage.
• Fluent in English
• Must be a Portuguese or European citizen or have a work permit for Portugal

What we offer at Keyrus Portugal:

• Competitive salary based on your skills & experience and according to the Data market practice
• Meal allowance of €8.32 per day
• Flexible benefits option
• Private Medical Insurance
• 22 days of annual leave (increasing every 3 years up to a maximum of 25 days)
• Training Program through KLX (Keyrus Learning Experience) Platform

Why Keyrus?

Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.

Keyrus Portugal operates on five guiding pillars that shape our approach to work and collaboration – Diversity; Trust; Flexibility; Ownership & Innovation - we're dedicated to cultivating a team as diverse as the challenges we take on. 

We embrace and celebrate the rich variety of backgrounds, perspectives, and talents that each individual brings. We firmly believe that diversity fuels innovation, ignites creativity, and propels us towards greatness. 

Regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity, everyone is not only welcome but valued here. 

Join us in shaping a future where everyone can thrive!