Data Scientist - ML, Python, AWS/Azure - 4-7 years - Mumbai/Pune/Bangalore

Location: Mumbai
Discipline: Analytics
Job type: Permanent
Contact name: Srishti Pathak

Contact email: srishti.pathak@crescendogroup.in
Job ref: 39906
Published: 3 months ago

 

An excellent opportunity for someone having hands-on experience in Data Scientist with working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python).

 

Location- Bangalore/Mumbai/Pune

 

Your Future Employer- The largest insurance broking company, with a strong business presence in insurance, risk management and consulting services with over 35,000 employees globally.

 

Responsibilities-

  • Join Data Analytics team to help us make better business decisions based on our data..
  • have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python).
  • Performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products’ and services’ efficiency and usability 

Requirements-

  • Hands-on experience in AL/ML algorithms.
  • Hands-on experience in SQL.
  • Should have experience in AWS, Azure or google cloud.
  • Experience in SQL.
  • Experience in Numpys, Pandas.
  • Experience with Data Visualization using Power BI.

 What is in for you-

  • A stimulating working environment with equal employment opportunities.
  • Growing of skills while working with industry leaders and top brands.
  • A meritocratic culture with great career progression.

Reach us- If you feel that you are the right fit for the role please share your updated CV at Srishti.pathak@crescendogroup.in

 

Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

Profile Keywords- AL/ML,Python, Machine Learning,Insurance,Data Scientist,Pandas,Numpys