Data Science & BI Manager

Description And Requirements

Data Science & BI Manager

About The Role

MetLife is looking for a Data Science & BI Manager to become part of the Direct Marketing Team and work with the existing Data Experts in EMEA, to support in the construction of an easily exploitable data environment, to perform portfolio data and statistical analysis and predictive modelling.

Requirements

• At least, 6 years of experience doing quantitative and qualitative analysis.
• Bachelor’s degree in mathematics, Statistics, Actuarial Science, Engineering, Finance, or related fields.
• Fluency in SQL, R, Python programming languages.
• Ability to initiate and drive projects to completion with minimal guidance.
• The ability to communicate the results of analysis in a clear and effective manner.
• Very good level in statistical analysis and in predictive models
• Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with BI tools such as PowerBI and QlikSense.
• Fluent English, oral and written.
• Experience with large data sets (Big Data) and Digital (Hive/Hadoop)
• Data visualization – the ability to visualize data in different formats.
• Modelling of data, specifically around segmentation, defining segments, data decision modeling and loyalty segments.
• Dashboarding or creating executive dashboard.
• Experience in mapping databases/sources
• Research experience around statistical methods – regression etc.
• Mining and analyzing data.
• Working cross functionally to ensure all parties involved.
• Proactive approach to look for new solution for data analysis.
• Ability to quickly adapt to new methods, work under tight deadlines.
• Analytical and problem-solving skills
• Ability to work well within a team environment.
  
  
  

Job Description

• Extract data from different data sources (including web), structured data (classic database: SQL, Oracle, Cloud ....) And unstructured (texts, voice, image ...)
• Data cleansing and understanding, check coherence of data availability, highlight potential issues with data format, or informational changes.
• Build, enhance, and keep the data environment up to date.
• Choose and apply the segmentation, prediction and scoring algorithms appropriate for each problem (reporting, customer profiling, churn score ...)
• Supporting development and enhancement of analytical programs or statistical models for the applications in insurance business for internal use.
• Identify and implement/test new models or solutions to tackle specific issues.
• Real time optimization of Machine Learning processes
• Prepare and update reports, present results, and exchange with international team.
• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Collaborate and provide support to sales and retention teams for increase in sales, predictive modelling, and other ongoing projects.
• May be involved in ad-hoc development of reports or dashboards to support other functions or across countries, working with experts located elsewhere or other local offices.
  
  
  

Benefits We Offer

Our benefits are designed to care for your holistic well-being with programs for physical and mental health, financial wellness, and support for families.

We offer private health insurance for you and your family, life insurance, employer pension plan, meal and transportation allowance, as well as a work from home allowance. We also provide a cultural Heritage Day off, and “back to school” and “school report day” leaves and much more!

About MetLife

Recognized on Fortune magazine's list of the 2024 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services.

At MetLife, it’s #AllTogetherPossible . Join us!