Descrição do trabalho
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 Senior Machine Learning / Data Scientist to design, develop, and deploy end-to-end Machine Learning and AI solutions. The ideal candidate combines strong technical expertise in data science and machine learning with a passion for transforming data into actionable insights.
We value professionals who are detail-oriented, proactive, and independent contributors, with excellent communication and problem-solving skills, capable of working closely with clients and internal teams to deliver impactful, data-driven solutions in a regulated environment.
This position is Hybrid in Lisbon or Porto.
Note: All applications/CVs must be submitted in English.
- Key Responsibilities
- Design, develop, and deploy end-to-end Machine Learning and AI solutions, covering data collection, preparation, model training, evaluation, and optimisation
- Identify business use cases, lead workshops, and translate business needs into scalable, production-ready data solutions
- Work closely with clients and internal stakeholders throughout the full application lifecycle
- Develop, enhance, and support in-house applications in collaboration with data scientists and software engineers
- Implement and support the deployment, monitoring, and maintenance of ML models following industry best practices
- Deliver data analyses and pipelines (ad-hoc and end-to-end) using Python, SQL, and ETL tools
- Ensure model interpretability and clearly communicate results to technical and non-technical audiences
- Track and report project progress using tools such as Jira and Confluence
- Promote a data-driven culture and stay up to date with the latest trends, tools, and methodologies in Data, Analytics, and AI
- Requirements For The Role
- 6+ years of professional experience in Data Science, Machine Learning, or AI-related roles
- Strong background in statistical and quantitative analysis, including machine learning models, probability theory, Bayesian statistics, and time series analysis
- Experience with ML frameworks and libraries (e.g. scikit-learn, Keras, PyTorch, TensorFlow)
- Knowledge of NLP techniques
- Strong programming skills in Python (R, Java, or Go is a plus)
- Experience with SQL and NoSQL databases
- Familiarity with CI/CD tools (e.g. Git, Jenkins)
- Experience with project management tools and methodologies
- Knowledge of the banking industry's best practices and corporate governance is a strong advantage
- Strong analytical thinking, adaptability, and excellent communication skills
- Fluent in English
- Must be a Portuguese or European citizen, or hold a valid 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 €10.20 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