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26/02 Ritu Dudeja
HR at Aegon Life

Views:447 Applications:122 Rec. Actions:Recruiter Actions:0

Aegon Life Insurance - Manager/Senior Manager - Data Scientist (5-7 yrs)

Mumbai Job Code: 896902

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

Women-friendly workplace:

Maternity and Paternity Benefits

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