Job Requirements
Job benefits
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Free food & beverages
Avoid wasting time and energy to buy food at the restaurant or hawker center by yourself. We'll provide the best food for you and your team. Make better use of your valuable time to rest, bond, and do other things that matter to you.
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Medical insurance
To ensure your health and wellbeing, you have various medical plans to choose from depending on your situation and unique needs. From partial up to full medical coverage, we got you covered.
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Team-building events
Our company simply cannot function well without teams of people working together. That said, we provide numerous team-building activities and events for you and your team to nurture meaningful relationships between every individual.
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Vacation & Leaves
Feel a need for a short break from work? our company is quite flexible when it comes to leaves; be it for vacation, sick, personal, or mental health days. Simply discuss what you need and we will try to cater to those.
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Skills
Job description for Data Scientist, Analytics CoE at Income Insurance Limited
- Work with stakeholders across the organization to identify opportunities for leveraging data to drive business solutions.
- Analyze, develop and deploy machine learning and optimization models for enhancing upsell/ cross sell, improving customer segmentation, aid product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to aid solving business problems.
- Ideate and develop A/B testing frameworks for testing business hypothesis and testing model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Maths / Economics / Analytics related qualification or if candidate has very relevant work experience)
- 2-3 years’ experience in an analytics role with some specific experience in advanced analytics project. Experience in financial industry (bank/insurance) will be at an advantage but other analytics intensive industries like telecom will also be considered.
- Experience in statistical modeling, machine learning, data mining, unstructured data analytics in corporate and/or academic research environments
- Experience in statistical and other tools/ languages – e.g. R, Python, SQL, Tableau, Java, Scala
- Good familiarity with relational databases and hadoop infrastructure
- Hands on experience in classification models, cluster analysis, neural network, non-parametric methods, multivariate statistics
- Aptitude to learn, think creativity to solve real world business problems, and work in a collaborative team environment