Data Scientist

MetLif; Fatih; On-site; TRY 420,000 - 540,000; Full time

Job summary

MetLif is seeking a Data Scientist to join the Data Governance Team. You will transform data into actionable insights, develop AI and analytics solutions, and ensure data and models meet governance, quality, security, and regulatory requirements.

You will collect and clean diverse data, apply ML models, and monitor performance with a focus on responsible AI and privacy. Collaboration with BI and regional teams is essential to deliver scalable analytics solutions.

Qualifications

• Bachelor’s degree in a quantitative field.
• At least 3 years of experience in data analysis, statistical modeling, or predictive analytics.
• Proficiency in SQL and Python or R, with large datasets experience.
• Strong knowledge of statistical modeling, ML, and experimentation methods.
• Knowledge of Data Governance, Data Quality, metadata management, data catalogs, or MDM preferred.
• BI/visualization tools familiarity, preferably Power BI.
• Understanding of Responsible AI, data privacy, and security principles.
• Fluency in written and spoken English.

Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources.
• Identify data quality and governance issues and coordinate solutions with teams.
• Translate business needs into analytics, ML, and AI solutions.
• Develop, validate, deploy, and improve predictive, prescriptive, and generative AI models.
• Apply statistical analysis, feature engineering, segmentation, and scoring for insurance use cases.
• Monitor model performance, explainability, fairness, and compliance throughout the lifecycle.
• Promote responsible AI and compliance with data privacy and security requirements.
• Collaborate with business, BI, Governance, and regional teams to scale analytics.

Skills

Data analysis

Statistical modeling

Machine learning

Experimentation methods

SQL

Python or R

Education

Bachelor’s degree in Mathematics, Statistics, Actuarial Science, Engineering, Finance, or a related field

Tools

Python

R

SQL

Power BI

Job description

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.