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10/05 Pankaj
Founder at Connexdoor

Views:80 Applications:16 Rec. Actions:Recruiter Actions:10

Data Science Engineer - Insurance (5-7 yrs)

Bangalore Job Code: 923478

Create an account, explore jobs, and track using the dashboard at Connexdoor.

Apply on www.connexdoor.com for more Leads (hiring for one of our key clients)

- Full-time position

- Salary- 8-15LPA

Experience:


- 5+ years Roles & Responsibilities Designing, developing, and implementing analytical techniques on large, complex, structured, and unstructured data sets.


- Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner.


- Implementing statistical and data mining techniques on a large amount of data to identify trends, figures, and other relevant information.


- Development and implementation of datasets and databases with machine learning tools for real-time business problems.


- Building data structures, end-to-end data pipelines & interpreting it for multiple teams/ stakeholders. 


Requirements, Desired Skills and Experience :


- Hands-on experience in delivering results-driven solutions with proven business value.


- Great consulting and quantitative skills, detail-oriented approach, with expertise in developing solutions using SQL, R, Python, or such tools.


- Coursework in data science or quantitative methods like linear algebra, probability, and statistics Prior experience in programming (Python/ Hadoop/ R/ Excel Macros etc.)


- Excellent interpersonal skills. Ability to work with large datasets to extract meaningful insights. Connecting the dots for business.


- Teachers and Lecturers from leading Academic institutions who teach Data Science and have steered Data science large-scale academic projects may also apply.

Skills: Machine learning, R, Python, Predictive analytics, algorithms, Data mining

To explore other perks and detailed JD, click on www.connexdoor.com and create a profile.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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