Data Scientist

Job description

Description and Requirements The Opportunity We are looking for a highly motivated Data Scientist who combines strong analytical and machine learning capabilities with a solid understanding of Data Governance principles to become part of the Data Governance Team. This role will be responsible for transforming data into actionable business insights, developing AI and advanced analytics solutions, and ensuring that data and models are managed in accordance with governance, quality, security, and regulatory requirements.

Key Responsibilities

Collect, clean, and analyze structured and unstructured data from multiple sources. Identify data quality, availability, and consistency issues and work with relevant teams to resolve them. Translate business needs into practical analytics, machine learning, and AI solutions. Develop, validate, deploy, and improve predictive, prescriptive, and generative AI models. Apply statistical analysis, feature engineering, segmentation, prediction, and scoring techniques to insurance use cases.

Monitor model performance, explainability, fairness, and compliance throughout the model lifecycle. Ensure models use reliable, high-quality, and governed data. Support Data Governance activities, including data quality, metadata, lineage, and critical data element management. Promote responsible AI and compliance with data privacy, security, and regulatory requirements. Collaborate with business, BI, Governance, and regional teams to deliver scalable analytical solutions.

Required Qualifications

Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Engineering, Finance, or a related field. At least 3 years of experience in data analysis, statistical modeling, or predictive analytics. Proficiency in SQL and Python or R, with experience working with large and complex datasets. Strong knowledge of statistical modeling, machine learning, and experimentation methods. Knowledge of Data Governance, Data Quality, metadata management, data catalogs, or Master Data Management is preferred.

Familiarity with BI and visualization tools, preferably Power BI. Understanding of Responsible AI, model governance, data privacy, and security principles. Fluency in written and spoken English.

Preferred Qualifications

Strong problem-solving, communication, stakeholder management, and project delivery skills. Experience in the insurance industry is preferred.