Data Scientist | Hybrid - Lisbon | c. €45,000 gross

Akkodis; United Kingdom; Hybrid; GBP 33,000 - 40,000; Full time

Job summary

A leading data solutions company is seeking a Data Scientist to join their Decision Intelligence team. In this hybrid role, you will design and deploy machine learning products, providing crucial insights and driving business decisions across Europe. The ideal candidate will have a strong background in statistical programming and machine learning, alongside excellent communication skills to convey complex concepts. This role promises a significant impact on our client's transformation journey.

Qualifications

• Proven experience with statistical programming languages (Python or R).
• Strong foundation in machine learning methods.
• Hands-on experience working with SQL to extract, transform, and manipulate datasets.
• Exposure to building end-to-end data pipelines.
• Familiarity with deploying models on Azure.
• Interest in visualization tools like Power BI.
• Excellent communication skills to bridge technical concepts.

Responsibilities

• Designing and enhancing predictive models and machine learning solutions.
• Experimenting with techniques to tackle business-critical challenges.
• Providing pricing intelligence and market insights.
• Partnering with stakeholders to unlock data science opportunities.
• Deploying models on Azure infrastructure.
• Championing data quality, pipelines, and governance.
• Mentoring junior team members.

Skills

Statistical programming languages (Python or R)

Data science libraries (NumPy, Scikit-learn, etc.)

Machine learning methods (supervised and unsupervised)

SQL for data manipulation

Model deployment on cloud platforms (Azure)

Visualization tools (Power BI)

Excellent communication skills

Proactive and detail-oriented mindset

Job description

Overview

Data Scientist - Machine Learning & Decision Intelligence
Hybrid - Lisbon, Portugal - €45,000 + Benefits

Want to see your models shaping real business decisions across Europe? We’re looking for a talented and ambitious Data Scientist to join our client’s fast-growing Decision Intelligence team, where you’ll help shape the future of how data fuels value across the EU business. This isn’t just another data role - it’s a genuine chance to be at the centre of a large-scale transformation, designing, building, and deploying advanced machine learning products that impact thousands of customers and change the way intelligence, efficiency, and innovation come to life.

From proof-of-concept to production-ready deployment, you’ll work across the full lifecycle using a modern, best-in-class stack (Python, SQL Server, Databricks, MLflow, Azure Machine Learning, Azure Data Lake, and more). If you’re someone who thrives on solving complex problems, loves experimenting with new approaches, and enjoys turning insights into actionable business impact - this is the kind of environment where you’ll shine.

Responsibilities

• Designing, developing, and enhancing predictive models and machine learning solutions that power core EU products and deliver real-world value.
• Experimenting with advanced techniques - from regression and tree-based methods to clustering, time-series forecasting, and deep learning - to tackle business-critical challenges.
• Turning data into action by providing pricing intelligence and market insights that influence decision-making across multiple European markets.
• Partnering with stakeholders across the business to spot new opportunities where data science can unlock efficiency, value, and innovation.
• Deploying models into production using cloud infrastructure (Azure), ensuring scalability, robustness, and ongoing performance monitoring.
• Championing best practice in data quality, pipelines, and governance to ensure accuracy and trust in every model.
• Acting as a mentor to junior team members, sharing knowledge and fostering a culture of curiosity, collaboration, and continuous learning.

Qualifications

• Proven experience with statistical programming languages (Python or R), and confident working with core data science libraries (NumPy, Scikit-learn, Pandas, TensorFlow, Keras, PyTorch, XGBoost).
• A strong foundation in machine learning methods - both supervised and unsupervised - such as logistic regression, GLMs, decision trees, clustering, and deep learning.
• Hands-on experience working with SQL to extract, transform, and manipulate datasets.
• Exposure to building and managing end-to-end data pipelines for training, evaluation, and reporting.
• Familiarity with deploying models into production on cloud platforms (ideally Azure Machine Learning / Azure Kubernetes Services).
• An interest in visualisation tools (Power BI) to track and communicate model performance in a clear and engaging way.
• Excellent communication skills, with the confidence to explain complex concepts in simple terms to technical and non-technical audiences alike.
• A proactive, detail-oriented mindset with the ability to take ownership and deliver results in a fast-moving environment.

If you’re looking for a role where you can put cutting-edge data science into action, see your work go live, and make a measurable impact across a European business - this is the opportunity to take your career to the next level.

Send your CV in for immediate consideration.

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.