Job Description

Data Scientist - Financial Services - Lisbon (hybrid)

Overview

Our client are seeking a talented and motivated Data Scientist to join their newly established and growing Data Science team working out of their Lisbon office on a hybrid basis. This role offers an exciting opportunity to work at the forefront of data analytics, machine learning (ML), and artificial intelligence (AI) within a forward-thinking and innovative organization. If you are passionate about leveraging data to drive business growth and efficiency, we encourage you to apply.

Responsibilities

As a Data Scientist, you will play a pivotal role in delivering cutting-edge data science solutions across various business functions. Your key responsibilities will include:

• Developing and implementing data science solutions, including generative AI and machine learning models.
• Collaborating with cross-functional teams to identify opportunities for data-driven decision-making.
• Automating routine tasks and enhancing operational efficiency through innovative data solutions.
• Designing and deploying novel approaches to underwriting, pricing risk, and supporting claims functions.
• Utilizing public and private data sources, models, and cloud services to generate actionable insights.
• Communicating effectively with both technical and non-technical stakeholders to understand business needs and deliver tailored solutions.

Qualifications

To excel in this role, you should possess the following qualifications and skills:

• Proven experience with a range of data science and generative AI tools, with a willingness to learn new technologies.
• Strong understanding of statistics to systematically assess AI/ML models.
• Familiarity with generative AI and its applications.
• Proficiency in Python, with a solid understanding of code quality and version control practices.
• Experience working in an Agile environment.
• A proactive mindset focused on prototyping, rapid iteration, and continuous improvement.
• Excellent communication skills, with the ability to champion suitable methods and engage effectively with non-technical stakeholders.

Day-to-Day

Your typical day as a Data Scientist will involve:

• Collaborating with team members to design and develop data science solutions.
• Writing and testing Python code to build and refine machine learning models.
• Engaging with stakeholders to gather requirements and provide insights that inform business decisions.
• Experimenting with generative AI tools to explore innovative solutions.
• Participating in Agile ceremonies, such as stand-ups and retrospectives, to ensure efficient project delivery.
• Continuously learning and staying updated on the latest advancements in data science and AI.

If you are ready to make an impact and contribute to a culture that values creativity, collaboration, and continuous improvement, we would love to hear from you!