15h Left) Data Science Lead Analyst

1 week ago

Hyderabad, Telangana, India Manipal Cigna Insurance Group Full time
Job Description

- Using your knowledge of ML / AI, you will build technologies to generate descriptive and predictive insights on how we can better serve throughout their customer journey, with digital assets we have.
- Your work will require deep acquaintance withEvernorth sdata,seekingto find ways to deliver value through advanced feature engineering.
- From your models, you will deliver actionable insights that can be incorporated into existing digital and marketing solutions as we'll as informing on newstrategy.
- In addition to collaborating with Data Science Management and Business Analytics partners toestablishstrategic priorities, you will work closely with Data & Engineering to deliver code that is robust and ready to scale.

- Data acquisition,QCand exploratory analysis on transactional member data
- Create models using ML / AI techniques to predict risk andidentifyactionable insights
- Deliver clean, reusable, and scalable code
- Work closely with Data & Engineering to deploy models
- Partner with senior team members on the latest analytic techniques, technologies, and methods

Required Education

- MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience

RequiredSkills

- The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improvethe healthcaresystems, and an attitude of creativity and continual learning.

RequiredExperience

- 5-8years of industry experience with Data Mining, StatisticalAnalysisand leading ML / AI methods;XGBoost, Light GBM, deep learning, reinforcement learning, optimizationrequired
- 5-8years of experience with Python,PySparkand its data science libraries
- Excellent oral and written communication skills

DesiredExperience

- Prior experience working in the healthcare industry, servicesopsor digital domain
- Experience with deploying predictive models into production
- Experience working with business stakeholders

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