1984864-Lead Assistant Manager

EXL; Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

EXL in Gurgaon is seeking a Data Scientist with about 4 years of experience for a hybrid role. You will work on end-to-end ML projects, including data preparation, feature engineering, model training and deployment, with a focus on NLP and predictive/ prescriptive analytics.

The position requires strong SQL, Python, Excel skills and a good grasp of statistics, with hands-on Azure experience and effective communication to articulate insights to clients.

Qualifications

• End-to-end ML development and data analytics experience.
• Proficiency in ML, NLP, and deployment of models.
• Strong SQL, Python and data visualization basics.
• Solid grasp of probability and statistics.
• Hands-on experience with Azure.
• Good communication skills.
• Bachelor’s degree from Tier I/II colleges preferred.

Responsibilities

• Data collation, processing, cleaning & transformation with feature engineering and model development.
• Hands-on model training, evaluation & fine-tuning.

Skills

End-to-end ML development

NLP

SQL

Python

MS Excel

Visualization basics

Statistics

Azure

Communication skills

Education

Bachelor's degree (Tier I/II)

Tools

Azure

Job description

Job Description:

Job description: Data Scientist

Experience: ~4 years

Job Location: Gurgaon (Hybrid)

Shift Timing: 1:00PM IST – 10:30 PM IST

Skills / Qualifications Required:

• Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation
• Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling) , NLP
• Proficient in tools / languages like SQL, Python, MS Excel, and Visualization basics
• Good understanding of Probability & Statistics
• Hands-on experience in Azure
• Good communication skills
• Bachelor’s degree from Tier I/II colleges preferred

Job Responsibilities:

• Data collation, processing, cleaning & transformation along with feature engineering and model development.
• Hands-on with model training, evaluation & fine tuning.
• Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s)
• Develop & implement various customer segmentation, LTV & marketing campaign optimization models.
• Actively own & manage client deliverables.
• Effectively engage with client & translate client business requirements into equivalent analytical problems.
• Understand data and different platforms used by the client.
• Actively contribute towards design methodology for problem solving.
• Analyze large & complex data sets to derive valuable insights.