Analyst I, Data Science

Analyst I, Data Science

Location: Bogotá, Colombia

About the Role:

The Data Science Solutions team is launching a new global hub in Colombia and seeks talented data science analysts to build a vibrant, high-impact function from the ground up.

As an Analyst in the Model Automation & Production team, you will:

• Collaborate with global colleagues to develop predictive analytics that solve real-world business problems.
• Work with large structured and unstructured datasets to uncover patterns, build models, and generate actionable insights.
• Contribute to automating and scaling machine learning pipelines, model monitoring, and performance improvements.
• Communicate findings clearly to technical and non-technical stakeholders to drive data-informed decisions.
• Expand your insurance domain knowledge while deepening your expertise in data science and MLOps.
• Join a foundational team, gain exposure to end-to-end model operations, and grow your career in a collaborative, innovative-driven environment.

Key Responsibilities:

• Apply data science techniques to explore, manipulate, and analyze large structured and unstructured datasets to uncover insights and support business decisions.
• Collaborate on the development and validation of predictive models, including GLMs, decision trees, and other machine learning approaches, aligned with business objectives.
• Formulate and test hypotheses with statistical rigor, ensuring reliability and relevance of analytical outcomes.
• Translate complex quantitative findings into clear visualizations and compelling narratives for diverse audiences, including business stakeholders.
• Contribute to projects of moderate complexity, customizing analytic approaches to meet specific business needs and operational goals.
• Engage with the global Data Science community, participating in cross-functional initiatives and knowledge-sharing forums to promote innovation and best practices.
• Build and apply insurance and financial services domain knowledge to enhance the impact and relevance of your work.

Skills and Experience:

• Fluency in English C1 (Must)
• Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, Actuarial Science, or a related quantitative field; Master’s degree or equivalent industry experience (3+ years) preferred.
• Solid foundation in data extraction, exploratory data analysis (EDA), data transformation, and predictive modelling techniques such as GLM and decision trees.
• Strong analytical and problem-solving skills, with the ability to work with large datasets and derive meaningful insights.
• Effective oral and written communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences.
• Candidates should demonstrate strong business acumen and the ability to quickly learn the insurance domain.
• Collaborative mindset and interpersonal skills to work effectively within cross-functional teams and global environments.
• Interest or experience in insurance, financial services, or fintech, with a desire to deepen domain knowledge.
• Proficiency in Python and SQL. Experience with version control and experiment tracking is desirable but not required.