Job Objective :
We are looking for an individual who is passionate about data and excellent at problem solving to join our Data Science team within Cigna International Markets Data & Analytics.
Cigna’s Data Science team develops and implements state-of-the-art data models including but not limited to propensity-to-buy modeling, clustering, survival modeling, optimization and customer lifetime value for the purposes of sales and marketing, health / clinical services and network services.
For this role, the objective is to combine technical aptitude and a consultative approach to realise the value of data science projects, with a focus on Sales and Marketing applications.
Job Description :
Work with Data Science Delivery Unit managers, Product and Business Owners to understand commercial problems and formulate data analysis and modeling approaches.
Business problems expected to cover Health / Clinical services, Network services and Sales / Marketing in particular.
Take data science projects from concept definition to delivery and production
Employ state-of-the-data machine learning algorithms to develop and validate data models
Implement data models in the manner that their effects are trackable
Work with Data Governance to ensure full compliance of data protection and AI ethics
Work with Data Engineering to keep abreast of data enrichment including first and third party data
Analytical and data science rigor and strategic thinking ability
Proficiency in SQL, Python and / or common statistical software
Experience working on Cloud-based environments and deployments involving AWS and Google Cloud Platform (GCP)
Experience in consulting work with client management and requirements gathering is essential
Data mining knowledge especially in natural language processing and deep learning algorithms
Familiarity with common Sales and Marketing tools such as Salesforce, Google Marketing Platform
Working experience in the fields of insurance, health services or financial institutes will be an advantage
Degree holder in Statistics, Actuarial Science, Financial Engineering, Applied Mathematics. Management Science or related disciplines, Master degree or above will be an advantage
Excellent communication skill in English high ability in dealing with different groups of stakeholders from management to technical partners.
Additional languages an advantage