Sagility India Hiring Drive 2024 For Data Scientist | Location Bengaluru

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Sagility India Hiring Drive 2024: Sagility India Hiring Drive 2024 for its Data Scientist. Sagility India Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: Sagility India

Role: Data Scientist

Location: Bengaluru

Experience: 0 – 2 years

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: 7.6 LPA (Expected)

Sagility India Hiring Drive 2024

Job Description:

  • Good scripting and programming skills in SQL and Python Data-oriented personality
  • Conduct Knowledge Sharing sessions to Junior Data Scientist / Data Engineer to improve their capability
  • Engineering with Statistical Assisting implementation/development team when needed Engineering background
  • Your primary focus will be in applying ML / data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with the company’s products.
  • 1+ years of experience in Data Science and Statistical modeling
  • Proficiency in Python & NLP & ML, AWS or Azure (must) & AI- 1+ yrs
  • Understanding of pattern recognition and predictive modelling skills
  • Knowledge of various modelling algorithms e.g. Regression and Classification, Time Series Models


  • Natural Language Processing
  • Machine Learning
  • Python

company Overview:

  • Sagility is a tech-enabled BPM services provider, a thought partner providing a broad spectrum of transformational services, to enable our clients provide efficient and hi-quality care across the healthcare system.
  • Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members.
  • We optimize the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics.

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