Data Science
Gurugram, Haryana, India
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s listing: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingConvert marketing business problems into analytical formats
Generate campaign and project performance reports
Write end-to-end Python or SAS programs to extract results
Review and analyze complex data aggregations
Self-check and QC end results against changing requirements
From the employer’s posting
converting the business problem into analytical format
Generate campaign and project performance reports
Ability to do end to end programming in python/SAS
Review and analyze complex data aggregations
Ability to self-check and QC the end results in line with changing requirements and modifications
What you’ll bring
All qualificationsCore experience
- 0-3 years of experience in ML, data modelling, SAS/Python programming
- Master's in Statistics, Economics, MBA, or Engineering
- Understanding of P&C insurance marketing and campaigns
- Working knowledge of statistical and machine learning techniques
- Python for data analytics and modelling
Qualification wording
0-3 years of experience Machine Learning, Data Modelling, Programming with SAS/Python
Master’s in Statistics/Economics/MBA, Engineering
Understanding of P&C insurance marketing/ Campaign working understanding
Understanding and working knowledge of statistical and Machine learning techniques
Python for data analytics and modeling
Education & alternatives
- Understanding and working knowledge of statistical and Machine learning techniques - Education: Master’s in Statistics/Economics/MBA, Engineering - Experience: 0-3 years of experience Machine Learning, Data Modelling, Programming with SAS/Python.
Tools in this posting
- Python
- SAS
Source — Tool mentions in context
- Data Analytics: - Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand. - Review and analyze complex data aggregations
- Education: Master’s in Statistics/Economics/MBA, Engineering - Experience: 0-3 years of experience Machine Learning, Data Modelling, Programming with SAS/Python. Technical Skills: Python for data analytics and modeling, Machine Learning Techniques
- Experience: 0-3 years of experience Machine Learning, Data Modelling, Programming with SAS/Python. Technical Skills: Python for data analytics and modeling, Machine Learning Techniques
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 12, 2026 · 74 days ago
- Recorded sightings
- 303
- Last seen by us
- Oct 25, 2026
- Employer says posted
- Mar 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
- Marketing Analytics Domain Understanding:
- Understanding of P&C insurance marketing/ Campaign working understanding
- Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format
- Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
- Generate campaign and project performance reports with ability to understand marketing concept
- Data Analytics:
- Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
- Review and analyze complex data aggregations
- Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA
- ML techniques:
- Knowledge of Modelling based on large set of variables from varied sources
- Understanding and working knowledge of statistical and Machine learning techniques
- Marketing Analytics Domain Understanding:
- Understanding of P&C insurance marketing/ Campaign working understanding
- Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format
- Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy
- Generate campaign and project performance reports with ability to understand marketing concept
- Data Analytics:
- Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.
- Review and analyze complex data aggregations
- Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA
- ML techniques:
- Knowledge of Modelling based on large set of variables from varied sources
- Understanding and working knowledge of statistical and Machine learning techniques
- Education: Master’s in Statistics/Economics/MBA, Engineering
- Experience: 0-3 years of experience Machine Learning, Data Modelling, Programming with SAS/Python.
Technical Skills: Python for data analytics and modeling, Machine Learning Techniques
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, Haryana, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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