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- Clearly Setting Project Objectives with the Client
- Take initiatives to identify opportunities and develop problem statements to be worked upon.
- Data Extraction, Cleansing and Manipulation
- Handle large volume of data, research for variables and work with structured/unstructured data.
- Data visualization develop solution with tools like Plotly and dash to visualize the distribution of the data and provide inferences
- Predictive Modelling
- Development of models using ML techniques
- Model Deployment built front end tools and deploy the solution using flask ,Rest API to integrate with the Predictive Model in real time
- Model Documentation
- Clear and Detailed Documentation of the modelling procedures/ analyses.
- Presentation
- Able to present the Analysis in a clear, concise and effective manner
- Deep understanding of ML techniques and coding languages like python, SQL, R
- Strong communicator and leadership skills.
- Should have experience in client handling.
- Experience in working in a multicultural environment
- Questions existing processes, suggests improvements
- Academic Background in Engineering, Masters in technology/Statistics
- Strong Analytical skills with 37 years of experience
- Hands on experience in Data modelling and data analytics tools like, SQL, Python and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification
- Knowledge of coding languages like Python ,SQL, R, SAS
- Experience in Data and Model pipelines like Metaflow, Airflow, ML flow is preferable
Manager - Data Science - Consulting Firm (3-7 yrs) - Gurgaon/Gurugram, India - iimjobs
Description
Data Science:
Manager
About the Role:
This position is for Assistant Manager(Data Science) role in the Insurance Predictive Analytics domain for one of our client.
The key responsibility will be to support the client's P&C Insurance Analytics team in undertaking various Analytics and Data Science projects.
The job responsibilities include the following:
About You:
Personal Qualifications:
Required Education and Skills: