Aegon Life Insurance - Manager/Senior Manager - Data Scientist (5-7 yrs)
Must haves :
Education : Engineering/Statistics
Skillset : Hands on experience in Data Analytics, SQL, R/Python, Statistical Analysis, Power BI
Core Role Responsibility : Predictive modelling, Data Science, Machine learning, AI, Algorithm
Target Industry : FinTech, InsureTech, Banking & Ecommerce
Years of experience : 5-7
Manager - Data Scientist
About Us :
- Aegon Life Insurance Company Limited (ALIC) is focused on fulfilling its vision of creating tension-free lives. In pursuance of this goal, we provide a complete product suite, customized advice, and enhanced experience for all our customers.
- Aegon Life was formed with the coming together of AEGON N.V., an international provider of life insurance, pensions, and asset management, and Bennett Coleman & Company Limited (BCCL), India's largest media conglomerate popularly known as the Times Group. This union brings together a local approach, with global expertise of launching products that cater to different sets of customers to meet their long-term financial goals.
Role Details :
Department : Data Analytics
Employment Type : Full Time
Role Summary : Aegon Life Insurance Company is seeking to fill a position within the Data analytics Function which will involve working in the Analytics Team.
Key Focus Areas :
- Data enrichment - Identify valuable data sources, enrich customer's profiles through proxy variables from the sources such as e-commerce, social media, CDPs etc.
- Data analysis - Undertake pre-processing and analysis of customer data enriched through proxy variables, to discover trends and patterns.
- Data visualization - Present information to business in a structured way, through data visualization techniques and BI tools.
- Data modelling - Develop predictive & statistical models for insurance underwriting, fraud detection and other customer use-cases.
- Model deployment and automation - Collaborate with data engineering, and development team to deploy and automate model scoring, measurement, validation & retraining.
- Must have excellent hands-on knowledge into SQL and R/Python
- Familiarity with AWS Cloud environment will be preferred.
- Working knowledge in AWS Sagemaker will be preferred.
- Working knowledge in PowerBI and/or AWS Quicksight will be preferred
Qualifications & Competencies :
- 5-7 years of total hands-on experience into analytics, Data Science and Machine Learning
- Fintech, Insurtech, Insurance & E-commerce industry experience preferred.
- Good understanding of various Customer data-points available and predictive modeling on e-commerce, BFSI, web/social media data for Credit Risk Assessment, alternate risk scoring, credit profiling & segmentation, dynamic pricing model based on risk profile, fraud prevention etc.
- Minimum Bachelor's degree in Statistics and/or Engineering
- Effective interpersonal skills, including strong written, verbal communication and presentation skills.
- Hands-on experience in working with data science tools such as SQL, R/Python, Power BI
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.